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

机译:用于车辆基础设施集成的基于多传感器的车辆自主导航:概念和仿真分析

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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现车辆基础设施集成至关重要,这是智能交通系统的未来趋势。集成多个板载传感器,甚至来自V2V和V2I通信的支持,对于最大化其各自的优势都是至关重要的。本文讨论了用于车辆基础设施集成的基于多传感器的车辆自主导航的概念。基于目前的位置相关应用,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力学模型,并简要研究了时空同步问题和采用的滤波策略。仿真和分析表明,其具有通过多传感器数据融合满足车辆基础设施集成方案各种性能要求的潜力。

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