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Fast Extrinsic Calibration for 3D LIDAR
Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering, 20193D LIDAR based environmental perception has been widely used in the field of robotics research especially for the rapid development of the vehicle's auto pilot. Coordinate transformation calibration between LIDAR and the self-driving vehicle's body is a prerequisite for environmental perception.
Ning Li, Tao Luo, Bo Su
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IEEE Transactions on Instrumentation and Measurement, 2023
Nowadays, the low-cost micro electro mechanical systems (MEMSs)-based inertial measurement units (IMU) and light detection and ranging (LiDAR) are commercially available in vehicle systems and are usually integrated to achieve robust ego-motion ...
Shengyu Li +3 more
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Nowadays, the low-cost micro electro mechanical systems (MEMSs)-based inertial measurement units (IMU) and light detection and ranging (LiDAR) are commercially available in vehicle systems and are usually integrated to achieve robust ego-motion ...
Shengyu Li +3 more
semanticscholar +1 more source
Extrinsic Calibration of Camera to LIDAR Using a Differentiable Checkerboard Model
IEEE/RJS International Conference on Intelligent RObots and Systems, 2023Multi-modal sensing often involves determining correspondences between each domain's signals, which in turn depends on the accurate extrinsic calibration of the sensors.
L. Fu, Nived Chebrolu, Maurice F. Fallon
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IEEE Robotics and Automation Letters, 2023
The strategy of fusing multi-model data especially from cameras, light detection and ranging sensors (LiDAR), is frequently considered in robotics to enhance the performance of the perception and navigation tasks.
Feiyi Chen +4 more
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The strategy of fusing multi-model data especially from cameras, light detection and ranging sensors (LiDAR), is frequently considered in robotics to enhance the performance of the perception and navigation tasks.
Feiyi Chen +4 more
semanticscholar +1 more source
Robust extrinsic calibration from pedestrians
Signal Processing: Image Communication, 2017Abstract Calibration from pedestrians in the single-camera setup is studied in this paper. Previous relevant methods are mainly designed in simple scenes with a single pedestrian. The objective of this paper is to improve the calibration performance in complex scenes with crowds. Different methods in previous work are evaluated and compared.
Xiaohan Li +2 more
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IEEE Sensors Journal, 2023
The fusion of LiDAR and camera data is a promising approach for improving the environmental perception and recognition abilities of robots. The fusion of data from the two sensors plays a vital role in enhancing robotic localization capabilities. Current
Haitao Liu +4 more
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The fusion of LiDAR and camera data is a promising approach for improving the environmental perception and recognition abilities of robots. The fusion of data from the two sensors plays a vital role in enhancing robotic localization capabilities. Current
Haitao Liu +4 more
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Automatic Extrinsic Calibration of Dual LiDARs With Adaptive Surface Normal Estimation
IEEE Transactions on Instrumentation and Measurement, 2023Solutions equipped with multiple light detection and ranging (LiDAR) systems have been widely used in several fields including mobile mapping, navigation, robot, and others. Accurate and robust extrinsic calibration between multiple scanners is necessary
Mingyan Nie +3 more
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Extrinsic 6DoF calibration of 3D LiDAR and radar
2017 European Conference on Mobile Robots (ECMR), 2017Environment perception is a key component of any autonomous system and is often based on a heterogeneous set of sensors and fusion thereof, for which extrinsic sensor calibration plays fundamental role. In this paper, we tackle the problem of 3D LiDAR–radar calibration which is challenging due to low accuracy and sparse informativeness of the radar ...
Juraj Persic +2 more
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Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach
IEEE Workshop/Winter Conference on Applications of Computer VisionAccurate sensor calibration is crucial for autonomous systems, yet its uncertainty quantification remains under-explored. We present the first approach to integrate un-certainty awareness into online extrinsic calibration, com-bining Monte Carlo Dropout ...
Mathieu Cocheteux +2 more
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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
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