No version for distro humble showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro kilted showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro lyrical showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro rolling showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro ardent showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro bouncy showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro crystal showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro eloquent showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro dashing showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro galactic showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro foxy showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro iron showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro lunar showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro jade showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro indigo showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro hydro showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro kinetic showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro melodic showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange

No version for distro noetic showing jazzy. Known supported distros are highlighted in the buttons above.

Package Summary

Version 0.0.0
License Apache 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/WATonomous/wato_monorepo.git
VCS Type git
VCS Version main
Last Updated 2026-08-25
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Aggregates lidar pointclouds into a single merged pointcloud

Maintainers

  • WATonomous

Authors

No additional authors.

lidar_lidar_calib

LiDAR-to-LiDAR extrinsic calibration using GICP (Generalized ICP) point cloud registration. Computes the rigid transform between the center LiDAR and each side LiDAR (NE, NW).

Overview

The NE and NW LiDARs are side-mounted and their transforms relative to the center LiDAR must be known for lidar_aggregator to merge the point clouds correctly. This package takes simultaneous scans from two LiDARs and finds the transform that best aligns them.

GICP is an iterative refinement algorithm — it requires a reasonable initial guess (from physical measurement) to converge. The calibration must be run with the vehicle stationary in a feature-rich environment.

Prerequisites

  • Vehicle must be stationary
  • Environment must have sufficient geometric features (not an empty, symmetric room)
  • A physical measurement of the approximate LiDAR mount positions must be available as the initial guess

Usage

colcon build --packages-select lidar_lidar_calib
source install/setup.bash
ros2 launch lidar_lidar_calib lidar_lidar_calib.yaml

This launches two calibration instances in parallel — one for NE and one for NW — each registering its side LiDAR against the center LiDAR. The resulting transforms are logged and published.

Once calibration converges consistently, update the corresponding <origin> blocks in eve_description/urdf/ with the calibrated values.

CHANGELOG
No CHANGELOG found.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged lidar_lidar_calib at Robotics Stack Exchange