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LiDAR and Camera Calibration using Motion Estimated by Sensor Fusion Odometry
In this paper, we propose a method of targetless and automatic Camera-Li...
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Automatic Extrinsic Calibration for Lidar-Stereo Vehicle Sensor Setups
Sensor setups consisting of a combination of 3D range scanner lasers and...
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Heterogeneous Multi-sensor Calibration based on Graph Optimization
Many robotics and mapping systems contain multiple sensors to perceive t...
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Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Most sensor setups for onboard autonomous perception are composed of LiD...
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Hybrid calibration procedure for fringe projection profilometry based on stereo-vision and polynomial fitting
The key to accurate 3D shape measurement in Fringe Projection Profilomet...
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Road is Enough! Extrinsic Calibration of Non-overlapping Stereo Camera and LiDAR using Road Information
This paper presents a framework for the targetless extrinsic calibration...
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FastCal: Robust Online Self-Calibration for Robotic Systems
We propose a solution for sensor extrinsic self-calibration with very lo...
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Experimental Evaluation of 3D-LIDAR Camera Extrinsic Calibration
In this paper we perform an experimental comparison of three different target based 3D-LIDAR camera calibration algorithms. We briefly elucidate the mathematical background behind each method and provide insights into practical aspects like ease of data collection for all of them. We extensively evaluate these algorithms on a sensor suite which consists multiple cameras and LIDARs by assessing their robustness to random initialization and by using metrics like Mean Line Re-projection Error (MLRE) and Factory Stereo Calibration Error. We also show the effect of noisy sensor on the calibration result from all the algorithms and conclude with a note on which calibration algorithm should be used under what circumstances.
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