Research on collision avoidance system for four-wheeled robot based on multi-sensor fusion
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| Publicado en: | Journal of Physics: Conference Series vol. 2990, no. 1 (Apr 2025), p. 012029 |
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IOP Publishing
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| Acceso en línea: | Citation/Abstract Full Text - PDF |
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| 024 | 7 | |a 10.1088/1742-6596/2990/1/012029 |2 doi | |
| 035 | |a 3191138245 | ||
| 045 | 2 | |b d20250401 |b d20250430 | |
| 100 | 1 | |a Luo, Jingyi |u Guangxi Vocational Normal University , No. 17, Luowen Avenue, Xixiangtang District, Nanning, Guangxi, China; Key Laboratory of Application Technology of Intelligent Connected Vehicle ( Guangxi Vocational Normal University ), Education Department of Guangxi Zhuang Autonomous Region, Guangxi, China | |
| 245 | 1 | |a Research on collision avoidance system for four-wheeled robot based on multi-sensor fusion | |
| 260 | |b IOP Publishing |c Apr 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This paper investigates a collision avoidance system for four-wheeled robots based on multi-sensor fusion, aiming to improve the robustness of the robot in complex and variable environments. To address the problem of system performance degradation due to a single sensor’s failure, this paper adopts multi-sensor data fusion technology, which integrates multiple data sources such as visual sensors and LiDAR, to perceive the environment comprehensively. At the same time, the data processing and decision-making algorithms are optimized in conjunction with robust design techniques to ensure that the system can continue to operate stably in the face of uncertainty and unexpected situations. In this study, PreScan is used to conduct simulation and modeling experiments, and the results show that the system effectively enhances the fault tolerance and robustness of the four-wheeled robot, thus providing substantial support for the safe implementation of robotics. | |
| 653 | |a Robotics | ||
| 653 | |a Algorithms | ||
| 653 | |a Data integration | ||
| 653 | |a Robots | ||
| 653 | |a Collision avoidance | ||
| 653 | |a Data processing | ||
| 653 | |a Performance degradation | ||
| 653 | |a Robust design | ||
| 653 | |a Multisensor fusion | ||
| 653 | |a Fault tolerance | ||
| 700 | 1 | |a Zhang, Yongjie |u Guangxi Vocational Normal University , No. 17, Luowen Avenue, Xixiangtang District, Nanning, Guangxi, China; Key Laboratory of Application Technology of Intelligent Connected Vehicle ( Guangxi Vocational Normal University ), Education Department of Guangxi Zhuang Autonomous Region, Guangxi, China | |
| 773 | 0 | |t Journal of Physics: Conference Series |g vol. 2990, no. 1 (Apr 2025), p. 012029 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3191138245/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3191138245/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |