Extrinsic calibration of a camera and laser range finder (improves camera calibration)

By Qilong Zhang, Robert Pless. IEEE/RJS International Conference on Intelligent RObots and Systems, 2004

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Development of a sweet pepper harvesting robot (2020, methodology): “The exact 3D location of the point of mass was calculated using the depth information extracted from the detected region and a standard procedure of pixel ‐ to ‐ world transformation of the region (e.g., Wei & Ma, 1994; Zhang & Pless, 2004).”
Joint Depth and Color Camera Calibration with Distortion Correction (2012, background): “Many applications need to capture both simultaneously, like scene reconstruction and image-based rendering.”
Self-supervised calibration for robotic systems (2013, methodology): “It has been deployed both for intrinsic camera calibration [4] and extrinsic calibration between heterogeneous sensors [5].”
Automatic camera and range sensor calibration using a single shot (2012, background): “The following subsections give details about each of these steps.”
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes (2019, methodology): “The quality of final labeled data is verified frame-by-frame by projecting the labeled bounding boxes onto corresponding images via methods similar to [21], [22] and by visually inspecting the labeled data in BEV as shown in Fig.”