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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
openaire +1 more source
IEEE Transactions on Intelligent Vehicles
Robust and reliable calibration forms the foundation of efficient multi-sensor fusion. Most existing calibration methods are offline and rely on artificial targets, which is time consuming and unfriendly to non-expert users.
Youwei Wang +5 more
semanticscholar +1 more source
Robust and reliable calibration forms the foundation of efficient multi-sensor fusion. Most existing calibration methods are offline and rely on artificial targets, which is time consuming and unfriendly to non-expert users.
Youwei Wang +5 more
semanticscholar +1 more source
On Geometric Models and Their Accuracy for Extrinsic Sensor Calibration
2018 IEEE International Conference on Robotics and Automation (ICRA), 2018Extrinsic sensor calibration is an important task in robotics. There are various ways to perform the calibration task, but it often remains unclear which methods are better than the others. In this paper, we provide a systematic study about the calibration accuracy of three types of calibration methods, each represented by an abstract geometric model ...
Kaihong Huang, Cyrill Stachniss
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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
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
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
Extrinsic Calibration of Portable Manipulators
22nd Biennial Mechanisms Conference: Robotics, Spatial Mechanisms, and Mechanical Systems, 1992Abstract Portable manipulators are installed for operation and then removed upon completion of their task. Typical applications of portable manipulators include the inspection of nuclear reactors, inspection and repair of nuclear steam generators and asbestos removal in buildings. In such operations, it is difficult to precisely position
Steven B. Shooter, Charles F. Reinholtz
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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
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