系统梳理自动驾驶自适应巡航技术挑战与未来方向
Adaptive Cruise Control in Autonomous Vehicles: Challenges, Gaps, Comprehensive Review, and, Future Directions
- 从技术瓶颈到系统韧性，全面分析自适应巡航现存问题
- 指出现有研究在安全与鲁棒性上的关键缺口
- 适合关注智能驾驶系统设计的研究者与工程师
自动驾驶车辆（AVs）的发展通过消除驾驶中的人为干预，重新定义了交通方式。这一变革由自适应巡航控制（ACC）的快速进步所推动，使自动驾驶车辆能够感知环境并作出智能响应。尽管自动驾驶在安全性与交通效率方面具有显著优势，但仍面临诸多挑战亟待解决。现有综述论文往往缺乏对这些挑战及其潜在解决方案的全面分析。本文通过精准识别当前ACC研究中的关键空白，提出具有影响力的未来研究方向，以指导下一代ACC系统的设计。本综述提供了一项详尽且系统的回顾，弥补了先前研究的局限性，并提出了实现可持续、故障容错型城市交通的创新方法。
原文摘要 · Abstract (English)
The development of Autonomous Vehicles (AVs) has redefined the way of transportation by eliminating the need for human intervention in driving. This revolution is fueled by rapid advancements in adaptive cruise control (ACC), which make AVs capable of interpreting their surroundings and responding intelligently. While AVs offer significant advantages, such as enhanced safety and improved traffic efficiency, they also face several challenges that need to be addressed. Existing survey papers often lack a comprehensive analysis of these challenges and their potential solutions. Our paper stands out by meticulously identifying these gaps in current ACC research and offering impactful future directions to guide researchers in designing next-generation ACC systems. Our survey provides a detailed and systematic review, addressing the limitations of previous studies and proposing innovative approaches to achieve sustainable and fault-resilient urban transportation.
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