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基于道路事故风险图分析和车辆遥测技术的智能驾驶辅助系统。

Intelligent Driving Assistant Based on Road Accident Risk Map Analysis and Vehicle Telemetry.

机构信息

Department of Electrical and Electronics Engineering, Universidad del Norte, Barranquilla 081007, Colombia.

出版信息

Sensors (Basel). 2020 Mar 22;20(6):1763. doi: 10.3390/s20061763.

DOI:10.3390/s20061763
PMID:32235783
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7147716/
Abstract

Through the application of intelligent systems in driver assistance systems, the experience of traveling by road has become much more comfortable and safe. In this sense, this paper then reports the development of an intelligent driving assistant, based on vehicle telemetry and road accident risk map analysis, whose responsibility is to alert the driver in order to avoid risky situations that may cause traffic accidents. In performance evaluations using real cars in a real environment, the on-board intelligent assistant reproduced real-time audio-visual alerts according to information obtained from both telemetry and road accident risk map analysis. As a result, an intelligent assistance agent based on fuzzy reasoning was obtained, which supported the driver correctly in real-time according to the telemetry data, the vehicle environment and the principles of secure driving practices and transportation regulation laws. Experimental results and conclusions emphasizing the advantages of the proposed intelligent driving assistant in the improvement of the driving task are presented.

摘要

通过在驾驶员辅助系统中应用智能系统，道路行驶的体验变得更加舒适和安全。有鉴于此，本文报告了一种基于车辆遥测和道路事故风险图分析的智能驾驶辅助系统的开发，其职责是提醒驾驶员以避免可能导致交通事故的危险情况。在使用真实环境中的真实汽车进行的性能评估中，车载智能助手根据从遥测和道路事故风险图分析中获得的信息实时再现了视听警报。结果，得到了一个基于模糊推理的智能辅助代理，根据遥测数据、车辆环境以及安全驾驶实践和交通法规的原则，实时为驾驶员提供支持。本文呈现了强调所提出的智能驾驶辅助在改善驾驶任务方面的优势的实验结果和结论。

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