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Panoramic visual system for spherical mobile robots

Published online by Cambridge University Press:  05 February 2024

Muhammad Affan Arif Open the ORCID record for Muhammad Affan Arif [Opens in a new window] ,
Aibin Zhu ,
Han Mao  and
Yao Tu
Muhammad Affan Arif
Affiliation:
Institute of Robotics and Intelligent Systems, Xi’an Jiaotong University, Xi’an, 710049, China Shaanxi Key Laboratory of Intelligent Robots, Xi’an, 710049, China
Aibin Zhu*
Affiliation:
Institute of Robotics and Intelligent Systems, Xi’an Jiaotong University, Xi’an, 710049, China Shaanxi Key Laboratory of Intelligent Robots, Xi’an, 710049, China
Han Mao
Affiliation:
Institute of Robotics and Intelligent Systems, Xi’an Jiaotong University, Xi’an, 710049, China Shaanxi Key Laboratory of Intelligent Robots, Xi’an, 710049, China
Yao Tu
Affiliation:
Institute of Robotics and Intelligent Systems, Xi’an Jiaotong University, Xi’an, 710049, China Shaanxi Key Laboratory of Intelligent Robots, Xi’an, 710049, China
*
Corresponding author: Aibin Zhu; Email: abzhu@mail.xjtu.edu.cn
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Abstract

Aimed at the challenges of wide-angle mobile robot visual perception for diverse field applications, we present the spherical robot visual system that uses a 360° field of view (FOV) for realizing real-time object detection. The spherical robot image acquisition system model is developed with optimal parameters, including camera spacing, camera axis angle, and the distance of the target image plane. Two 180$^{\circ}$-wide panoramic FOVs, front and rear view, are formed using four on-board cameras. The speed of the SURF algorithm is increased for feature extraction and matching. For seamless fusion of the images, an improved fade-in and fade-out algorithm is used, which not only improves the seam quality but also improves object detection performance. The speed of the dynamic image stitching is significantly enhanced by using a cache-based sequential image fusion method. On top of the acquired panoramic wide FOVs, the YOLO algorithm is used for real-time object detection. The panoramic visual system for the spherical robot is then tested in real time, which outputs panoramic views of the scene at an average frame rate of 21.69 fps and panoramic views with object detection at an average of 15.39 fps.

Keywords

spherical robotimage stitchingpanoramic visionobject detection

Information

Type
Research Article
Information
Robotica , Volume 42 , Issue 7 , July 2024 , pp. 2089 - 2107
Copyright
© The Author(s), 2024. Published by Cambridge University Press

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