Ross ROSS = Recommend OSS · open-source software intelligence for agents

ankitdhall/lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences" observed · 2026-08-28

github.com/ankitdhall/lidar_camera_calibration · homepage · C++ · GPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

44/100

  • Activity 47
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3409
  • days_rel: n/a
  • days_push: 321
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1766 stars · 475 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A ROS package that computes the rigid-body transformation (rotation and translation) between a LiDAR and a camera using 3D-3D point correspondences, supporting monocular and stereo cameras and Hesai/Velodyne LiDARs. It is the open-source implementation of the paper 'LiDAR-Camera Calibration using 3D-3D Point correspondences' and includes tooling for fusing point clouds from multiple calibrated cameras.

Use cases

  • calibrate a velodyne lidar with a camera in ros
  • find extrinsic transformation between lidar and camera frames
  • fuse point clouds from two stereo cameras
  • calibrate hesai lidar with monocular camera
  • align lidar point cloud to camera image for autonomous driving
  • estimate rotation and translation between lidar and camera using aruco markers

When to choose

  • you use ROS/ROS2 with Velodyne or Hesai LiDARs and need camera-LiDAR extrinsics
  • you want a closed-form 3D-3D correspondence approach with aruco marker targets
  • you need to fuse point clouds from multiple calibrated stereo cameras

When to avoid

  • you need targetless or online calibration without markers
  • your stack is not ROS-based
  • you need LiDAR-IMU or camera-IMU calibration instead

Facets

library · maturity active

computer-vision robotics image-processing robotics autonomous-vehicles computer-vision simulation cpp lidar-camera-calibration ros-package aruco-markers point-cloud extrinsic-calibration velodyne hesai sensor-fusion stereo-camera linux ros

6 sources

Member repositories

RepositoryRoleHealth v2
ankitdhall/lidar_camera_calibrationmain44

For agents

markdown · JSON · MCP: product_card(name="ankitdhall/lidar_camera_calibration")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem