Human-Centered Risk Assessment of an Automated Vehicle Using Vehicular Wireless Communication
- Authors
- Shin, Donghoon; Kim, Beomjun; Yi, Kyongsu; Carvalho, Ashwin; Borrelli, Francesco
- Issue Date
- Feb-2019
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Risk assessment; vehicular communication (V2V communication); advanced driver assistance systems (ADAS); collision avoidance; human-machine systems; automated drive
- Citation
- IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v.20, no.2, pp 667 - 681
- Pages
- 15
- Journal Title
- IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Volume
- 20
- Number
- 2
- Start Page
- 667
- End Page
- 681
- URI
- https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/146897
- DOI
- 10.1109/TITS.2018.2823744
- ISSN
- 1524-9050
1558-0016
- Abstract
- This paper presents a human-centered risk assessment algorithm using vehicular communication for application to an automated driving vehicle. Vehicle-to-vehicle (V2V) wireless communication has been implemented and fused with a radar sensor to obtain the prediction of the remote vehicle's motion. Based on the predicted behavior of remote vehicles, a collision risk and a human reaction time are determined for a human-centered active safety control intervention moment. The human-centered risk assessment algorithm has been incorporated into a collision avoidance algorithm to monitor threat vehicles ahead and to find the best intervention point. Effects of the vehicular communication on a perception and a control performance are investigated. The performance of the proposed algorithm has been investigated via computer simulations and vehicle tests. It has been shown from both simulations and vehicle tests that the proposed human-centered risk assessment algorithm with V2V communication decides a proper active safety intervention moment by reducing the chances of over/underestimate of a conventional radar-only system.
- Files in This Item
-
Go to Link
- Appears in
Collections - 공과대학 > 기계시스템학부 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.