Learning and Inferring a Driver's Braking Action in Car-Following Scenarios
نویسندگان
چکیده
منابع مشابه
Learning and Inferring a Driver's Braking Action in Car-Following Scenarios
Accurately predicting and inferring a driver’s decision to brake is critical for designing warning systems and avoiding collisions. In this paper we focus on predicting a driver’s intent to brake in car-following scenarios from a perceptiondecision-action perspective according to his/her driving history. A learning-based inference method, using onboard data from CANBus, radar and cameras as exp...
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This paper presents recent results of on-going research to build new maps of driver performance in car-following situations. The novel performance map is comprised of four driving states: low risk, conflict, near crash, and crash imminent – which correspond to advisory warning, crash imminent warning, and crash mitigation countermeasures. The paper addresses two questions dealing with the appro...
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ژورنال
عنوان ژورنال: IEEE Transactions on Vehicular Technology
سال: 2018
ISSN: 0018-9545,1939-9359
DOI: 10.1109/tvt.2018.2793889