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
doaj +1 more source
Robust Self-Supervised Extrinsic Self-Calibration
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 Project page: https://sites.google.com/view/tri ...
Kanai, Takayuki +4 more
openaire +2 more sources
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
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.
Jack 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
Targetless Extrinsic Calibration of Multiple Small FoV LiDARs and Cameras Using Adaptive Voxelization [PDF]
IEEE Transactions on Instrumentation and Measurement, 2021 Determining the extrinsic parameter between multiple light detection and rangings (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 ...
Xiyuan Liu, Chongjian Yuan, Fu Zhang
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
Robust Intrinsic and Extrinsic Calibration of RGB-D Cameras [PDF]
, 2018 Color-depth cameras (RGB-D cameras) have become the primary sensors in most robotics systems, from service robotics to industrial robotics applications.
Basso, Filippo +2 more
core +2 more sources
Constrained Multiple Planar Reconstruction for Automatic Camera Calibration of Intelligent Vehicles
Sensors, 2021 In intelligent vehicles, extrinsic camera calibration is preferable to be conducted on a regular basis to deal with unpredictable mechanical changes or variations on weight load distribution.
Sang Jun Lee +3 more
doaj +1 more source
Joint Camera Intrinsic and LiDAR-Camera Extrinsic Calibration [PDF]
IEEE International Conference on Robotics and Automation, 2022 Sensor-based environmental perception is a crucial step for autonomous driving systems, for which an accurate calibration between multiple sensors plays a critical role.
Guohang Yan +4 more
semanticscholar +1 more source