协作感知-实现完全自动驾驶的缺失部分
Sumbal Malik1,2, Muhammad Jalal Khan1,2, Manzoor Ahmed Khan1,2
1College of Information Technology, United Arab Emirates University, Abu Dhabi 15551, United Arab Emirates.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
协作感知 (CP) 通过使车辆和基础设施能够共享数据来提高驾驶自动化,克服单车系统的局限性. 这项研究回顾了CP CP.
科学领域:
- 智能运输系统 (ITS) 是一种智能运输系统.
- 自动驾驶 (AD) 是一种自动驾驶技术.
背景情况:
- 单车感知系统面临由于视野受限和屏蔽的限制.
- 协作感知 (CP) 作为一种解决方案,可以在复杂的交通环境中增强情境意识.
研究的目的:
- 为先进的驾驶自动化,全面审查从经典感知到协作感知的过渡.
- 突出需要进化的CP来应对阻碍5级AD使用案例的挑战.
主要方法:
- 在车辆和基础设施层面审查知觉策略.
- 对通信技术和CP信息共享模型的分析.
- 基于数据准确性和通信带宽权衡的CP模型的比较.
主要成果:
- CP利用V2V和V2I通信来扩展感知,超越视线和视野.
- 在不同的CP模型中,确定了数据准确性和通信带宽之间的权衡.
- 突出了CP的现有挑战和未来研究方向.
结论:
- 协作感知对于实现更高水平的驾驶自动化至关重要.
- 需要进行进一步的研究,以克服自动驾驶汽车广泛采用CP的挑战.
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