Online Targetless Radar-Camera Extrinsic Calibration Based on the Common Features of Radar and Camera [PDF]
National Aerospace and Electronics Conference, 2023 Sensor fusion is essential for autonomous driving and autonomous robots, and radar-camera fusion systems have gained popularity due to their complementary sensing capabilities.
Lei Cheng, Siyang Cao
semanticscholar +1 more source
Calib-Anything: Zero-training LiDAR-Camera Extrinsic Calibration Method Using Segment Anything [PDF]
arXiv.org, 2023 The research on extrinsic calibration between Light Detection and Ranging(LiDAR) and camera are being promoted to a more accurate, automatic and generic manner.
Zhaotong Luo, Guohang Yan, Yikang Li
semanticscholar +1 more source
GRIL-Calib: Targetless Ground Robot IMU-LiDAR Extrinsic Calibration Method Using Ground Plane Motion Constraints [PDF]
IEEE Robotics and Automation Letters, 2023 Targetless IMU-LiDAR extrinsic calibration methods are gaining significant attention as the importance of the IMU-LiDAR fusion system increases. Notably, existing calibration methods derive calibration parameters under the assumption that the methods ...
Taeyoung Kim, Gyuhyeon Pak, Euntai Kim
semanticscholar +1 more source
A Novel Method for Automatic Extrinsic Parameter Calibration of RGB-D Cameras
Discrete Dynamics in Nature and Society, 2021 Calibration of extrinsic parameters of the RGB-D camera can be applied in many fields, such as 3D scene reconstruction, robotics, and target detection.
Qin Shi, Huansheng Song, Shijie Sun
doaj +1 more source
Information-Theoretic Online Multi-Camera Extrinsic Calibration
, 2022 Calibration of multi-camera systems is essential for lifelong use of vision-based headsets and autonomous robots. In this work, we present an information-based framework for online extrinsic calibration of multi-camera systems.
Kaess, Michael, +9 more
core +1 more source
CFNet: LiDAR-Camera Registration Using Calibration Flow Network
Sensors, 2021 As an essential procedure of data fusion, LiDAR-camera calibration is critical for autonomous vehicles and robot navigation. Most calibration methods require laborious manual work, complicated environmental settings, and specific calibration targets. The
Xudong Lv, Shuo Wang, Dong Ye
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Target-Free Extrinsic Calibration of Event-LiDAR Dyad Using Edge Correspondences [PDF]
IEEE Robotics and Automation Letters, 2023 Calibrating the extrinsic parameters of sensory devices is crucial for fusing multi-modal data. Recently, event cameras have emerged as a promising type of neuromorphic sensors, with many potential applications in fields such as mobile robotics and ...
Wanli Xing +3 more
semanticscholar +1 more source
An Effective Camera-to-Lidar Spatiotemporal Calibration Based on a Simple Calibration Target
Sensors, 2022 In this contribution, we present a simple and intuitive approach for estimating the exterior (geometrical) calibration of a Lidar instrument with respect to a camera as well as their synchronization shifting (temporal calibration) during data acquisition.
Lazaros Grammatikopoulos +4 more
doaj +1 more source
From Chaos to Calibration: A Geometric Mutual Information Approach to Target-Free Camera LiDAR Extrinsic Calibration [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2023 Sensor fusion is vital for the safe and robust operation of autonomous vehicles. Accurate extrinsic sensor to sensor calibration is necessary to accurately fuse multiple sensor’s data in a common spatial reference frame.
J. Borer +3 more
semanticscholar +1 more source
A General Calibration Method for Dual-PTZ Cameras Based on Feedback Parameters
Applied Sciences, 2022 With the increasing application of dual-PTZ (Pan-Tilt-Zoom) cameras in intelligent unmanned systems, research regarding their calibration methods is becoming more and more important. The intrinsic and extrinsic parameters of dual-PTZ cameras continuously
Kang Mao +3 more
doaj +1 more source