关于自主停车系统的概述:战略,挑战和未来方向
Javier Santiago Olmos Medina1, Jessica Gissella Maradey Lázaro1, Anton Rassõlkin2
1Program of Mechatronic Engineering, Universidad Autónoma de Bucaramanga, Bucaramanga 680003, Colombia.
Sensors (Basel, Switzerland)
|July 30, 2025
概括
自动停车系统 (APS) 提供了方便和安全,但也面临着挑战. 未来的研究必须解决技术差距和用户信任,以便广泛采用这些先进的驾驶辅助系统.
科学领域:
- 机器人和人工智能 机器人和人工智能
- 汽车工程 汽车工程
- 计算机科学 计算机科学
背景情况:
- 自动停车系统 (APS) 正在迅速发展,提高了车辆的便利性,安全性和效率.
- 目前的APS开发利用深度学习和传感器融合来提高性能.
研究的目的:
- 批判性地审查目前在APS感知,路径规划和车辆控制方面的策略.
- 检查系统层面的方面,包括集成,验证和安全.
- 确定APS技术中持续存在的挑战和局限性.
主要方法:
- 对现有的APS研究和开发进行了全面的文献审查.
- 分析计算成本与实时性能之间的权衡.
- 检查验证非决定性AI组件的挑战.
主要成果:
- 在APS方面取得了重大进展,但在现实世界部署方面仍然存在重大挑战.
- 困难包括在各种环境条件下确保稳定性和验证AI.
- 目前技术的局限性,安全保证,成本和用户信任受到重视.
结论:
- 实现APS的全部潜力需要通过创新的解决方案来解决技术差距.
- 社会技术方面,包括用户信任和安全保证,对于成功实施APS至关重要.
- 未来的研究必须集中在技术进步和人-系统集成上,以实现强大的自动停车.
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