/CaLiB

Automatic Lidar-Camera Extrinsic Calibration based on Natural Features in the environment.

Primary LanguagePythonMIT LicenseMIT

CaLiB

Automatic Lidar-Camera Extrinsic Calibration based on Natural Features in the environment.

Literature Review

  1. [2023] Calib-Anything: Zero-training LiDAR-Camera Extrinsic Calibration Method Using Segment Anything [Paper] [Code]
  2. [2023] General, Single-shot, Target-less, and Automatic LiDAR-Camera Extrinsic Calibration Toolbox [Paper][Code]
  3. [2023] UniCal: a Single-Branch Transformer-Based Model for Camera-to-LiDAR Calibration and Validation [Paper]
  4. [2022] Automatic Targetless LiDAR-Camera Calibration: A Survey [Paper]
  5. [2021] LCCNet: LiDAR and Camera Self-Calibration using Cost Volume Network [Paper] [Code]
  6. [2019] CalibNet: Geometrically Supervised Extrinsic Calibration using 3D Spatial Transformer Networks [Paper] [Code]
  7. [2012] Automatic Targetless Extrinsic Calibration of a 3D Lidar and Camera by Maximizing Mutual Information [Paper] [Code]

Sensor Setup

  • RoboSense RS-16
  • Intel Realsense 435

Citation

@unpublished{RnD2023Adinarayan,
            title = {Automatic Camera - LiDAR Extrinsic Calibration Based on Natural Features in the Environment},
            author = {Adinarayan, Bharath Kumar},
            year = {2023},
            month = {September},
            note = {WS2021, Houben, Huebel supervising}
}