Open-Box Target for Extrinsic Calibration of LiDAR, Camera and Industrial Robot

التفاصيل البيبلوغرافية
العنوان: Open-Box Target for Extrinsic Calibration of LiDAR, Camera and Industrial Robot
المؤلفون: Matthias Putz, Wolfram Hardt, Aquib Rashd, Alexey Kolker, Mohamad Bdiwi
بيانات النشر: Zenodo, 2022.
سنة النشر: 2022
مصطلحات موضوعية: Speedup, LiDAR, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, 01 natural sciences, Human–robot interaction, law.invention, Industrial robot, law, Open-box, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Calibration, Computer vision, 010306 general physics, business.industry, Plane constraint, Automation, Extrinsic-calibration, Lidar, Robot, Industrial Robot, 020201 artificial intelligence & image processing, Artificial intelligence, White box, Camera, business
الوصف: Low cost 3D LiDAR complements cameras in perception algorithms for various robotic applications. Safe and efficient human robot collaboration requires easy and accurate extrinsic calibration of sensors with an industrial robot. This work presents an efficient and accurate method for extrinsic calibration between LiDAR, camera and an industrial robot. Open-box target mounted on robot enables parameter estimation by constraining sensor data to multiple planes, which constitute the target planner surface. The method enables extraction of eight correspondences between the sensors and the robot in each data sample. The method enables speedup in sensor setup and drastically reduces efforts required for data collection through automation. The results have been evaluated for a simulated and real environment.
اللغة: English
DOI: 10.5281/zenodo.7298288
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b3152e9fa65c96c783337342e0591d7
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....6b3152e9fa65c96c783337342e0591d7
قاعدة البيانات: OpenAIRE