Results 111 to 120 of about 737,910 (247)

Automatic Extrinsic Self-Calibration of Mobile Mapping Systems Based on Geometric 3D Features

Remote Sensing, 2019
Mobile Mapping is an efficient technology to acquire spatial data of the environment. The spatial data is fundamental for applications in crisis management, civil engineering or autonomous driving.
Markus Hillemann, Martin Weinmann, Markus S. Mueller, Boris Jutzi   +3 more
doaj   +1 more source

Environment-Driven Online LiDAR-Camera Extrinsic Calibration

IEEE Transactions on Automation Science and Engineering
LiDAR-camera extrinsic calibration (LCEC) is crucial for multi-modal data fusion in autonomous robotic systems. Existing methods, whether target-based or target-free, typically rely on customized calibration targets or fixed scene types, which limit their applicability in real-world scenarios. To address these challenges, we present EdO-LCEC, the first
Zhiwei Huang, Jiaqi Li, Hongbo Zhao, Xiao Ma, Ping Zhong, Xiao-Hu Zhou, Wei Ye, Rui Fan   +7 more
openaire   +2 more sources

A Robust Extrinsic Calibration Method for Non-Contact Gaze Tracking in the 3-D Space

IEEE Access, 2018
In general, 3-D gaze tracking methods employ both a frontal-viewing camera and an eye-capturing camera facing the opposite direction to precisely estimate the point-of-regard (POR) in the 3-D space.
Mun-Cheon Kang, Cheol-Hwan Yoo, Kwang-Hyun Uhm, Dae-Hong Lee, Sung-Jea Ko   +4 more
doaj   +1 more source

Automatic Extrinsic Calibration of 3D LIDAR and Multi-Cameras Based on Graph Optimization. [PDF]

Sensors (Basel), 2022
Ou J, Huang P, Zhou J, Zhao Y, Lin L.
europepmc   +1 more source

Performance Index for Extrinsic Calibration of LiDAR and Motion Sensor for Mapping and Localization. [PDF]

Sensors (Basel), 2021
Kim G.
europepmc   +1 more source

Separated Calibration of a Camera and a Laser Rangefinder for Robotic Heterogeneous Sensors

International Journal of Advanced Robotic Systems, 2013
The fusion of the heterogeneous sensors can greatly improve the environmental perception ability of mobile robots. And that the primary difficulty of heterogeneous sensors fusion is the calibration of depth scan information and plane image information ...
Lingli Yu, Meng Peng, Zuo You, Ziqi Guo, Ping Tan, Kaijun Zhou   +5 more
doaj   +1 more source

Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration [PDF]

, 2020
Jianhao Jiao, Haoyang Ye, Yilong Zhu, Ming Liu   +3 more
openalex   +1 more source

Multi-Camera Extrinsic Calibration for Real-Time Tracking in Large Outdoor Environments [PDF]

, 2022
Paolo Tripicchio, Salvatore D’Avella, Gerardo Camacho-Gonzalez, Lorenzo Landolfi, Gabriele Baris, Carlo Alberto Avizzano, Alessandro Filippeschi   +6 more
openalex   +1 more source

Probability-Based LIDAR–Camera Calibration Considering Target Positions and Parameter Evaluation Using a Data Fusion Map

Sensors
The data fusion of a 3-D light detection and ranging (LIDAR) point cloud and a camera image during the creation of a 3-D map is important because it enables more efficient object classification by autonomous mobile robots and facilitates the construction
Ryuhei Yamada, Yuichi Yaguchi
doaj   +1 more source

Distance-based Camera Network Topology Inference for Person Re-identification

, 2017
In this paper, we propose a novel distance-based camera network topology inference method for efficient person re-identification. To this end, we first calibrate each camera and estimate relative scales between cameras.
Cho, Yeong-Jun, Yoon, Kuk-Jin
core