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Extrinsic Calibration for a Modular 3D Scanning Quality Validation Platform with a 3D Checkerboard [PDF]
SensorsOptical 3D scanning applications are increasingly used in various medical fields. Setups involving multiple adjustable systems require repeated extrinsic calibration between patients.
Mirko Kaiser +6 more
doaj +2 more sources
Targetless Extrinsic Calibration of Camera and Low-Resolution 3-D LiDAR
IEEE Sensors Journal, 2023 Autonomous driving heavily relies on light detection and ranging (LiDAR) and camera sensors, which can significantly improve the performance of perception and navigation tasks when fused together.
N. Ou +3 more
semanticscholar +2 more sources
Remote Sensing, 2018 Multi-camera systems are widely used in the fields of airborne remote sensing and unmanned aerial vehicle imaging. The measurement precision of these systems depends on the accuracy of the extrinsic parameters.
Lei Yin, Xiangjun Wang, Yubo Ni
exaly +3 more sources
Sensors, 2019 For a visual/inertial integrated system, the calibration of extrinsic parameters plays a crucial role in ensuring accurate navigation and measurement.
Chenguang Ouyang +3 more
doaj +2 more sources
Extrinsic Calibration of 2D Laser Rangefinders Based on a Mobile Sphere
Remote Sensing, 2018 In the fields of autonomous vehicles, virtual reality and three-dimensional (3D) reconstruction, 2D laser rangefinders have been widely employed for different purposes, such as localization, mapping, and simultaneous location and mapping.
Shoubin Chen +2 more
exaly +3 more sources
Targetless LiDAR–Camera Extrinsic Calibration via Class-Agnostic Boundary Mask Alignment and SPSA-Based Optimization [PDF]
SensorsTargetless LiDAR–camera extrinsic calibration remains challenging due to unreliable cross-modal correspondences and sensitivity to initialization. We present a targetless extrinsic calibration framework based on class-agnostic boundary mask alignment in ...
Han-You Jeong +5 more
doaj +2 more sources
Review of extrinsic parameter calibration of LiDAR and camera
Virtual Reality & Intelligent HardwareLiDAR and camera are two of the most common sensors used in the fields of robot perception, autonomous driving, augmented reality, and virtual reality, where these sensors are widely used to perform various tasks such as odometry estimation and 3D ...
Shuo WANG, Pengju ZHANG, Yihong WU
doaj +2 more sources
Extrinsic calibration of heterogeneous cameras by line images [PDF]
Machine Vision and Applications, 2014 The extrinsic calibration refers to determining the relative pose of cameras. Most of the approaches for cameras with non-overlapping fields of view (FOV) are based on mirror reflection, object tracking or rigidity constraint of stereo systems whereas cameras with overlapping FOV can be calibrated using structure from motion solutions.
Ly, Dieu-Sang +3 more
core +4 more sources
Automatic Multi-Camera Extrinsic Parameter Calibration Based on Pedestrian Torsors † [PDF]
Sensors, 2019 Extrinsic camera calibration is essential for any computer vision task in a camera network. Typically, researchers place a calibration object in the scene to calibrate all the cameras in a camera network.
Anh Minh Truong +4 more
doaj +2 more sources
An Extrinsic Calibration Tool for Radar, Camera and Lidar
2019 International Conference on Robotics and Automation (ICRA), 2019 We present a novel open-source tool for extrinsic calibration of radar, camera and lidar. Unlike currently available offerings, our tool facilitates joint extrinsic calibration of all three sensing modalities on multiple measurements. Furthermore, our calibration target design extends existing work to obtain simultaneous measurements for all these ...
Joris Domhof +2 more
openaire +4 more sources