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Multi-sensor based vehicle autonomous navigation for vehicle infrastructure integration: Concept and simulation analysis

机译:基于多传感器的车辆自主导航,用于车辆基础设施:概念与仿真分析

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Vehicle autonomous navigation is crucial for the implementation of vehicle infrastructure integration, which is a prospective trend of intelligent transportation systems. The integration of multiple on-board sensors and even the support from V2V and V2I communication are critical to maximize each of their benefits. This paper discusses the concept of multi-sensor based vehicle autonomous navigation for vehicle infrastructure integration. Based on the present location relevant applications, functional and performance requirements of vehicle autonomous navigation system are summarized, the system structure and the vehicle dynamic model are designed, and issues of time-space synchronization and the employed filtering strategies are briefly investigated. Simulation and analyses indicate its potential of fulfilling the various performance requirements of vehicle infrastructure integration scheme by multi-sensor data fusion.
机译:车辆自主导航对于实施车辆基础设施集成至关重要,这是智能交通系统的前瞻性趋势。 多个板载传感器的集成甚至V2V和V2I通信的支持对于最大化它们的每个好处是至关重要的。 本文讨论了车辆基础设施基于多传感器自主导航的概念。 基于当前位置相关的应用,总结了车辆自主导航系统的功能和性能要求,设计了系统结构和车辆动态模型,并简要介绍了时间空间同步和采用的过滤策略的问题。 模拟和分析表明,通过多传感器数据融合实现了车辆基础设施集成方案的各种性能要求的潜力。

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