Forward collision warning system for motorcyclist using smart phone sensors based on time-to-collision and trajectory prediction
作者机构：Department of Engineering Product DevelopmentSingapore University of Technology and DesignSingaporeSingapore Department of Information Systems Technology and DesignSingapore University of Technology and DesignSingaporeSingapore
出 版 物：《Journal of Intelligent and Connected Vehicles》 (智能网联汽车（英文）)
年 卷 期：2021年第4卷第3期
页 面：93-103页
核心收录：
学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：Forward collision warning Time-to-collision Advanced driving assistance system Motorcycles
摘 要：Purpose–The purpose of this paper is to develop a proof-of-concept(POC)Forward Collision Warning(FWC)system for the motorcyclist,which determines a potential clash based on time-to-collision and trajectory of both the detected and ego vehicle(motorcycle).Design/methodology/approach–This comes in three ***,time-to-collision value is to be calculated based on low-cost camera video ***,the trajectory of the detected vehicle is predicted based on video data in the 2 D pixel ***,the trajectory of the ego vehicle is predicted via the lean direction of the motorcycle from a low-cost inertial measurement unit ***–This encompasses a comprehensive Advanced FWC system which is an amalgamation of the three approaches mentioned ***,to predict time-to-collision,nested Kalmanfilter and vehicle detection is used to convert image pixel matrix to relative distance,velocity and time-to-collision ***,for trajectory prediction of detected vehicles,a few algorithms were compared,and it was found that long short-term memory performs the best on the data *** lastfinding is that to determine the leaning direction of the ego vehicle,it is better to use lean angle measurement compared to riding pattern classifi***/value–The value of this paper is that it provides a POC FWC system that considers time-to-collision and trajectory of both detected and ego vehicle(motorcycle).
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