@inproceedings{6059a2191d4f4f549df1f25ef4cef2fd,
title = "Collision avoidance system with cooperative adaptive cruise control in highway entrance ramp environment",
abstract = "Although efforts have been done to solve collision avoidance using either environment recognition sensors or vehicle-to-vehicle (V2V) communication information, it is still a challenging problem in some specific scene, e.g. highway entrance ramp. In this paper, we propose a new cooperative adaptive cruise control (CACC) method which combines information of environment recognition sensors and V2V communication. A collision detection system of CACC will work based on the information of V2V communication before environment recognition sensors detecting obstacles accurately. Co-simulation experiment using PreScan and Simulink is conducted. The experimental results show that the intelligent vehicle with our method can pass the freeway entrance ramp more safely.",
keywords = "Collision avoidance system, Cooperative adaptive cruise control (CACC), Highway entrance ramp, PreScan, V2V communication",
author = "Guangming Xiong and Hao Li and Yaying Jin and Jianwei Gong and Huiyan Chen",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 18th International Conference on Advanced Robotics, ICAR 2017 ; Conference date: 10-07-2017 Through 12-07-2017",
year = "2017",
month = aug,
day = "30",
doi = "10.1109/ICAR.2017.8023664",
language = "English",
series = "2017 18th International Conference on Advanced Robotics, ICAR 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "549--553",
booktitle = "2017 18th International Conference on Advanced Robotics, ICAR 2017",
address = "United States",
}