自动驾驶汽车 (远程) 驾驶员面临的人为因素的挑战
Anat Meir1, Einat Grimberg2, Oren Musicant3
1Faculty of Industrial Engineering and Technology Management, HIT Holon Institute of Technology, Holon, Israel.
Ergonomics
|May 2, 2024
概括
远程远程驾驶员 (TED) 在自动驾驶汽车 (AV) 系统中面临着独特的挑战,影响安全. 本研究绘制了这些挑战的地图,并提出了技术解决方案,以实现更安全的远程操作.
科学领域:
- 人与计算机的交互
- 机器人技术 机器人技术 机器人技术
- 运输工程 运输工程
背景情况:
- 自动驾驶汽车 (AV) 技术旨在提高安全性和效率.
- 对于复杂的场景,仍然需要人类干预,远程操作使之成为可能.
- 在自动化失败时,远程驾驶员 (TED) 远程操作自动化设备.
研究的目的:
- 为了全面地绘制出远程驾驶员 (TED) 面临的挑战.
- 为了比较TED与车载驾驶员 (IVD) 的挑战.
- 探索对TED挑战的技术对策.
主要方法:
- 文献综述和对现有关于远程驾驶的研究进行分析.
- 对TED和IVD面临的挑战进行比较评估.
- 识别和分类独特的TED挑战.
主要成果:
- 演讲者面临着独特的挑战,包括有限的情境意识,间接运动感知和通信延迟.
- 一些挑战与IVD共享,但具有不同的影响.
- 技术对策可以减轻TED的具体挑战.
结论:
- 了解TED挑战对于安全远程操作AVS至关重要.
- 需要进一步的研究来解决发现的知识差距.
- 设计和实施有效的远程驾驶系统存在实用意义.
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