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Automatic and Targetless LiDAR–Camera Extrinsic Calibration Using Edge Alignment
IEEE Sensors Journal, 2023In this article, an automatic and targetless extrinsic calibration method is proposed for the light detection and ranging (LiDAR)–camera system, which can calibrate extrinsic parameters from coarse to fine in natural scenes.
Jun Yin, Fei Yan, Yisha Liu
exaly +2 more sources
Automated Extrinsic Calibration of Multi-Cameras and LiDAR
IEEE Transactions on Instrumentation and MeasurementIn intelligent driving systems, the multisensor fusion perception system comprising multiple cameras and LiDAR has become a crucial component. It is essential to have stable extrinsic parameters among devices in a multisensor fusion system to achieve all-
Xinyu Zhang +8 more
semanticscholar +2 more sources
Joint Intrinsic and Extrinsic Calibration of Perception Systems Utilizing a Calibration Environment
IEEE Robotics and Automation LettersBasically all multi-sensor systems must calibrate their sensors to exploit their full potential for state estimation such as mapping and localization. In this letter, we investigate the problem of extrinsic and intrinsic calibration of perception systems.
Louis Wiesmann +4 more
semanticscholar +2 more sources
A Minimal Solution for the Extrinsic Calibration of a Camera and a Laser-Rangefinder
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012This paper presents a new algorithm for the extrinsic calibration of a perspective camera and an invisible 2D laser-rangefinder (LRF). The calibration is achieved by freely moving a checkerboard pattern in order to obtain plane poses in camera coordinates and depth readings in the LRF reference frame.
João P Barreto +2 more
exaly +3 more sources
Underwater Visual Acoustic SLAM with Extrinsic Calibration
Underwater scenarios are challenging for visual Simultaneous Localization and Mapping (SLAM) due to limited visibility and intermittently losing structures in image views. In this paper, we propose a visual acoustic bundle adjustment system which fuses a
Shida Xu +6 more
openaire +2 more sources
Determining the extrinsic parameter between multiple LiDARs and cameras is essential for autonomous robots, especially for solid-state LiDARs, where each LiDAR unit has a very small Field-of-View (FoV), and multiple units are often used collectively. The
Xiyuan Liu, Chongjian Yuan, Fu Zhang
exaly +2 more sources
Extrinsic and depth calibration of ToF-cameras
2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008Recently, ToF-cameras have attracted attention because of their ability to generate a full 2 1/2D depth image at video frame rates. Thus, ToF-cameras are suitable for real-time 3D tasks such as tracking, visual servoing or object pose estimation. The usability of such systems mainly depends on an accurate camera calibration.
Fuchs, Stefan, Hirzinger, Gerd
openaire +2 more sources
Extrinsic calibration of a ground penetrating radar
2016 IEEE International Conference on Automation Science and Engineering (CASE), 2016To develop a multi-modal in-traffic bridge deck scanning device, we need to calibrate extrinsic parameters of a ground penetrating radar (GPR). GPR output is in a non-Euclidean coordinate system because it only detects underground objects relative to road surface.
Chieh Chou +3 more
openaire +1 more source
2023 IEEE Intelligent Vehicles Symposium (IV), 2023
Extrinsic calibration between LiDAR-Camera and LiDAR-LiDAR has been researched extensively, because it is the foundation for sensor fusion. Meanwhile, many projects are open-sourced and significantly promote related research.
Jun Zhang +5 more
semanticscholar +1 more source
Extrinsic calibration between LiDAR-Camera and LiDAR-LiDAR has been researched extensively, because it is the foundation for sensor fusion. Meanwhile, many projects are open-sourced and significantly promote related research.
Jun Zhang +5 more
semanticscholar +1 more source
Calibration for Camera-Motion Capture Extrinsics
2018 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2018Motion capture is commonly used to track the 3D pose of a camera in order to provide accurate ground truth data for computer vision algorithms such as visual odometry, SLAM and object tracking. However, it is challenging to manually align the coordinate frame of a camera and a motion capture-tracked object.
Sam D. Schofield +2 more
openaire +1 more source

