Results 211 to 220 of about 737,910 (247)
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IEEE Transactions on Automation Science and Engineering
Existing target segmentation methods are typically considered easy to implement and yield satisfactory results. However, they generally cannot adapt to a new environment without tiring parameter tuning, which leads to poor performance, including issues ...
Hongqian Huang +4 more
semanticscholar +1 more source
Existing target segmentation methods are typically considered easy to implement and yield satisfactory results. However, they generally cannot adapt to a new environment without tiring parameter tuning, which leads to poor performance, including issues ...
Hongqian Huang +4 more
semanticscholar +1 more source
Mirror-Based Extrinsic Camera Calibration
2009This paper presents a method for determining the six degree-of-freedom transformation between a camera and a base frame of interest. A planar mirror is maneuvered so as to allow the camera to observe the environment from several viewing angles. Points, whose coordinates in the base frame are known, are observed by the camera via their reflections in ...
Joel A. Hesch +2 more
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Targetless LiDAR–Camera Extrinsic Calibration With Mesh-Based Constraints
IEEE Transactions on Instrumentation and MeasurementFusing multimodal information is prevalent in autonomous driving and robotics to conduct a variety of perception tasks. Light detection and ranging (LiDAR) sensors and cameras are complementary and the extrinsic parameters calibration between them is ...
Shuo Wang +3 more
semanticscholar +1 more source
DEdgeNet: Extrinsic Calibration of Camera and LiDAR with Depth-discontinuous Edges
IEEE International Conference on Robotics and Automation, 2023This paper addresses the problem of calibrating extrinsic parameter matrix between an RGB camera and a LiDAR. Multimodal sensing systems are essential for fully autonomous navigation platforms. A key pre-requisite for such a system is calibration between
Yiyang Hu, Hui Ma, Lei Jie, Hui Zhang
semanticscholar +1 more source
Odometry-based online extrinsic sensor calibration
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013In recent years vehicles have been equipped with more and more sensors for environment perception. Among these sensors are cameras, RADAR, single-layer and multi-layer LiDAR. One key challenge for the fusion of these sensors is sensor calibration. In this paper we present a novel extrinsic calibration algorithm based on sensor odometry.
Sebastian Schneider +2 more
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Zero-training LiDAR-Camera Extrinsic Calibration Method Using Segment Anything Model
IEEE International Conference on Robotics and AutomationExtrinsic calibration for LiDAR and camera is an essential prerequisite for sensor fusion. Recently, automatic and target-less extrinsic calibration has become the mainstream of academic research.
Zhaotong Luo +3 more
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print)
A system with light detection and ranging (LiDAR) and camera (named as LiDAR-camera system) plays the essential role in intelligent vehicle (IV), for it provides 3D spatial and 2D texture features for 3D scene understanding. To leverage LiDAR point cloud
Pei An +6 more
semanticscholar +1 more source
A system with light detection and ranging (LiDAR) and camera (named as LiDAR-camera system) plays the essential role in intelligent vehicle (IV), for it provides 3D spatial and 2D texture features for 3D scene understanding. To leverage LiDAR point cloud
Pei An +6 more
semanticscholar +1 more source
CMRNext: Camera to LiDAR Matching in the Wild for Localization and Extrinsic Calibration
IEEE Transactions on roboticsLight detection and rangings (LiDARs) are widely used for mapping and localization in dynamic environments. However, their high cost limits their widespread adoption.
Daniele Cattaneo, Abhinav Valada
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Scalable Extrinsic Calibration of Omni-Directional Image Networks
International Journal of Computer Vision, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Antone, Matthew, Teller, Seth
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Fast Extrinsic Calibration for Multiple Inertial Measurement Units in Visual-Inertial System
IEEE International Conference on Robotics and Automation, 2023In this paper, we propose a fast extrinsic calibration method for fusing multiple inertial measurement units (MIMU) to improve visual-inertial odometry (VIO) localization accuracy. Currently, data fusion algorithms for MIMU highly depend on the number of
Youwei Yu +7 more
semanticscholar +1 more source