A platform and algorithm for omnidirectional robot sensing

Computer vision and robot technology have been developed very fast in recent years. Although there are lots of algorithms and platforms to guarantee robots a robust perception now, most of them only focus on limited field of view. For example, they only focus on limited view angle in one direction....

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Main Author: Chen, Hongjin
Other Authors: Wang Dan Wei
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2021
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Online Access:https://hdl.handle.net/10356/152455
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1524552023-07-04T16:47:34Z A platform and algorithm for omnidirectional robot sensing Chen, Hongjin Wang Dan Wei School of Electrical and Electronic Engineering EDWWANG@ntu.edu.sg Engineering::Electrical and electronic engineering Computer vision and robot technology have been developed very fast in recent years. Although there are lots of algorithms and platforms to guarantee robots a robust perception now, most of them only focus on limited field of view. For example, they only focus on limited view angle in one direction. Therefore, when the light condition is not ideal, perception obtained from such algorithm and platforms may fail due to noisy input. To solve this problem, a new circle-ring platform is designed in this project. This platform is equipped with 8 monocular cameras aiming at different directions. These cameras are evenly distributed on the circle-ring platform and provide complementary information for each other. Two adjacent monocular cameras are paired to form a binocular camera to detect depth information of the photographed object. In addition to using stereo cameras to measure the depth of objects, LIDAR is also used in this project. Stereo cameras can get dense but relatively inaccurate depth information, while LIDAR can get accurate but relatively sparse depth information. Therefore, stereo cameras and LIDAR can complement each other in depth measurement of objects. In order to verify the fusion between sensors (stereo camera) and LIDAR, a binocular camera and a LIDAR are used for experiment. Master of Science (Computer Control and Automation) 2021-08-17T02:46:34Z 2021-08-17T02:46:34Z 2021 Thesis-Master by Coursework Chen, H. (2021). A platform and algorithm for omnidirectional robot sensing. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/152455 https://hdl.handle.net/10356/152455 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Chen, Hongjin
A platform and algorithm for omnidirectional robot sensing
description Computer vision and robot technology have been developed very fast in recent years. Although there are lots of algorithms and platforms to guarantee robots a robust perception now, most of them only focus on limited field of view. For example, they only focus on limited view angle in one direction. Therefore, when the light condition is not ideal, perception obtained from such algorithm and platforms may fail due to noisy input. To solve this problem, a new circle-ring platform is designed in this project. This platform is equipped with 8 monocular cameras aiming at different directions. These cameras are evenly distributed on the circle-ring platform and provide complementary information for each other. Two adjacent monocular cameras are paired to form a binocular camera to detect depth information of the photographed object. In addition to using stereo cameras to measure the depth of objects, LIDAR is also used in this project. Stereo cameras can get dense but relatively inaccurate depth information, while LIDAR can get accurate but relatively sparse depth information. Therefore, stereo cameras and LIDAR can complement each other in depth measurement of objects. In order to verify the fusion between sensors (stereo camera) and LIDAR, a binocular camera and a LIDAR are used for experiment.
author2 Wang Dan Wei
author_facet Wang Dan Wei
Chen, Hongjin
format Thesis-Master by Coursework
author Chen, Hongjin
author_sort Chen, Hongjin
title A platform and algorithm for omnidirectional robot sensing
title_short A platform and algorithm for omnidirectional robot sensing
title_full A platform and algorithm for omnidirectional robot sensing
title_fullStr A platform and algorithm for omnidirectional robot sensing
title_full_unstemmed A platform and algorithm for omnidirectional robot sensing
title_sort platform and algorithm for omnidirectional robot sensing
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/152455
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