基于分布式数据库与多模感知的实时车车协同控制系统，提升城市十字路口通行安全。
Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System through Distributed Database and Multimodal Perception: Demonstrated in Crossroads
- 在单车和中心服务器中部署分布式数据库，实现车辆间实时信息共享。
- 通过多目标跟踪与雷达感知，在真实十字路口实现零碰撞交通协调。
- 适合智能网联汽车、自动驾驶系统研发者参考应用。
自动驾驶产业快速发展，车对车（V2V）通信系统成为提升道路安全与交通效率的关键。本文提出一种基于实时车车通信的网络协同控制系统（VVCCS），旨在革新自动驾驶中的宏观交通规划与碰撞规避。系统部署于Quanser Car（Qcar）硬件平台，将分布式数据库集成至各自动驾驶车辆及可选中央服务器，并开发了包含多目标追踪与雷达感知的综合多模态感知系统。通过在真实十字路口环境中的演示，验证了该系统在复杂拥堵城市场景下的应用潜力。
原文摘要 · Abstract (English)
The autonomous driving industry is rapidly advancing, with Vehicle-to-Vehicle (V2V) communication systems highlighting as a key component of enhanced road safety and traffic efficiency. This paper introduces a novel Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System (VVCCS), designed to revolutionize macro-scope traffic planning and collision avoidance in autonomous driving. Implemented on Quanser Car (Qcar) hardware platform, our system integrates the distributed databases into individual autonomous vehicles and an optional central server. We also developed a comprehensive multi-modal perception system with multi-objective tracking and radar sensing. Through a demonstration within a physical crossroad environment, our system showcases its potential to be applied in congested and complex urban environments.
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