• Acta Photonica Sinica
  • Vol. 53, Issue 7, 0712002 (2024)
Xiaobin XU*, Chenfei CAO, Lei ZHANG, Jinchao HU..., Yingying RAN, Zhiying TAN, Linsen XU and Minzhou LUO|Show fewer author(s)
Author Affiliations
  • College of Mechanical and Electrical Engineering, Hohai University, Changzhou 213022, China
  • show less
    DOI: 10.3788/gzxb20245307.0712002 Cite this Article
    Xiaobin XU, Chenfei CAO, Lei ZHANG, Jinchao HU, Yingying RAN, Zhiying TAN, Linsen XU, Minzhou LUO. Planar Array Lidar and Camera Calibration Method Based on Tetrahedral Features[J]. Acta Photonica Sinica, 2024, 53(7): 0712002 Copy Citation Text show less
    References

    [1] M ABDELAAL, R FARAG, M S SAAD et al. Uncalibrated stereo vision with deep learning for 6-DOF pose estimation for a robot arm system. Robotics and Autonomous Systems, 145, 103847(2021).

    [2] L WITTE, A HEFFELS, M KILLIAN et al. A robotically deployable lunar surface science station and its validation in a Moon-analogue environment. Planetary and Space Science, 193, 105080(2020).

    [3] D ZHANG, Z GAO. Hybrid head mechanism of the groundhog-like mine rescue robot. Robotics & Computer Integrated Manufacturing, 27, 460-470(2010).

    [4] J M GANDARIAS, F PASTOR, A J MUNOZ-RAMIREZ et al. Underactuated gripper with forearm roll estimation for human limbs manipulation in rescue robotics, 19298752(2019).

    [5] D PATIL, M ANSARI, D TENDULKAR et al. A survey on autonomous military service robot, 19573726(2020).

    [6] X LI, H LING. Hybrid camera pose estimation with online partitioning for SLAM. IEEE Robotics and Automation Letters, 5, 1453-1460(2020).

    [7] P Y LAJOIE, B RAMTOULA, Y CHANG et al. DOOR-SLAM: distributed, online, and outlier resilient SLAM for robotic teams. IEEE Robotics and Automation Letters, 5, 1656-1663(2020).

    [8] J JUNG, OH T , H MYUNG. Magnetic field constraints and sequence-based matching for indoor pose graph SLAM. Robotics and Autonomous Systems, 70, 92-105(2015).

    [9] L CARLONE, F DELLAERT. Duality-based verification techniques for 2D SLAM, 4589-4596(2015).

    [10] C TESSIER, C CARIOU, C DEBAIN et al. A real-time, multi-sensor architecture for fusion of delayed observations: application to vehicle localization, 9231845(2006).

    [11] T CUI, S JI, J SHAN et al. Line-based registration of panoramic images and LiDAR point clouds for mobile mapping. Sensors, 17, 70(2017).

    [12] J JIANG, P XUE, S CHEN et al. Line feature based extrinsic calibration of LiDAR and camera, 18245506(2018).

    [13] W WANG, K SAKURADA, N KAWAGUCHI. Reflectance intensity assisted automatic and accurate extrinsic calibration of 3D LiDAR and panoramic camera using a printed chessboard. Remote Sensing, 9, 851(2017).

    [14] J BELTRAN, C GUINDEL, A D L ESCALERA et al. Automatic extrinsic calibration method for LiDAR and camera sensor setups. IEEE Transactions on Intelligent Transportation Systems, 23, 17677-17689(2022).

    [15] G IYER, R K RAM, J K MURTHY et al. Calibnet: Geometrically supervised extrinsic calibration using 3d spatial transformer networks, 1110-1117(2018).

    [16] K YUAN, Z GUO, Z J WANG. Rggnet: Tolerance aware lidar-camera online calibration with geometric deep learning and generative model. IEEE Robotics and Automation Letters, 5, 6956-6963(2020).

    [17] J LIN, F ZHANG. Loam livox: A fast, robust, high-precision lidar odometry and mapping package for lidars of small fov, 3126-3131(2020).

    [18] Z LIU, F ZHANG. Balm: Bundle adjustment for lidar mapping. IEEE Robotics and Automation Letters, 6, 3184-3191(2021).

    [19] J CUI, J NIU, Z OUYANG et al. ACSC: Automatic calibration for non-repetitive scanning solid-state LiDAR and camera systems. Computer Vision and Pattern Recognition. arXiv preprint(2020).

    [20] Y ZHU, C ZHENG, C YUAN et al. CamVox: a low-cost and accurate lidar-assisted visual SLAM system, 21402365(2021).

    [21] J LIN, X LIU, F ZHANG. A decentralized framework for simultaneous calibration, localization and mapping with multiple LiDARs, 4870-4877(2020).

    [22] X LIU, C YUAN, F ZHANG. Fast and accurate extrinsic calibration for multiple LiDARs and cameras. arXiv e-prints(2021).

    [23] Yan LIU, Pengfei LI. Reaserch of the improvement of Zhang's camera calibration method. Optical Technique, 40, 565-570(2014).

    [24] M A FISCHLER, R C BOLLES. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24, 381-395(1981).

    [25] R G VON GIOI, J JAKUBOWICZ, J M MOREL et al. LSD: A line segment detector. Image Processing on Line, 2, 35-55(2012).

    [26] LIVOX , B ROBINSON. livox_camera_lidar_calibration. https://github.com/Livox-SDK/livox_camera_lidar_calibration

    [27] C YUAN, X LIU, X HONG et al. Pixel-level extrinsic self calibration of high resolution LiDAR and camera in targetless environments. IEEE Robotics and Automation Letters, 6, 7517-7524(2021).

    Xiaobin XU, Chenfei CAO, Lei ZHANG, Jinchao HU, Yingying RAN, Zhiying TAN, Linsen XU, Minzhou LUO. Planar Array Lidar and Camera Calibration Method Based on Tetrahedral Features[J]. Acta Photonica Sinica, 2024, 53(7): 0712002
    Download Citation