TY - GEN
T1 - Dual-mode forward collision avoidance algorithm based on vehicle-to-vehicle (V2V) communication
AU - Yousef, Mohamed
AU - Hosny, Ahmed
AU - Gamil, Wessam
AU - Adel, Mohamed
AU - Fahmy, Hazem M.
AU - Saeed Darweesh, M.
AU - Mostafa, Hassan
N1 - KAUST Repository Item: Exported on 2022-06-30
Acknowledgements: This work was performed on a project at Institute of Aviation Engineering and Technology (IAET) funded by the Academy of Scientific Research and Technology (ASRT). This research was partially funded by ONE Lab at Cairo University, Zewail City of Science and Technology, and KAUST.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2019/1/24
Y1 - 2019/1/24
N2 - This paper proposes a Vehicle-to-Vehicle (V2V) communication-based forward collision avoidance algorithm by alarming the driver for the normal driver mode and controlling the driving wheel for the self-governed (autonomous) driving mode. The proposed algorithm benefits from the information exchange between the host vehicle and the leading vehicle to calculate the safe distance between host vehicle and leading vehicle to guarantee the avoidance of the collision. The proposed system gives advisory and imminent warnings according to the predicted accident levels, using a three different levels of collision avoidance for the driver mode. Also, in the autonomous driving mode, it follows an alternative optimal path to avoid the collision. The simulation results are implemented using Prescan and MATLAB. The simulation results show that the proposed collision avoidance system makes a composite analysis of the collision risk and provides an accurate real-time warning and an alternative path for dual driving modes.
AB - This paper proposes a Vehicle-to-Vehicle (V2V) communication-based forward collision avoidance algorithm by alarming the driver for the normal driver mode and controlling the driving wheel for the self-governed (autonomous) driving mode. The proposed algorithm benefits from the information exchange between the host vehicle and the leading vehicle to calculate the safe distance between host vehicle and leading vehicle to guarantee the avoidance of the collision. The proposed system gives advisory and imminent warnings according to the predicted accident levels, using a three different levels of collision avoidance for the driver mode. Also, in the autonomous driving mode, it follows an alternative optimal path to avoid the collision. The simulation results are implemented using Prescan and MATLAB. The simulation results show that the proposed collision avoidance system makes a composite analysis of the collision risk and provides an accurate real-time warning and an alternative path for dual driving modes.
UR - http://hdl.handle.net/10754/679451
UR - https://ieeexplore.ieee.org/document/8623896/
UR - http://www.scopus.com/inward/record.url?scp=85060256395&partnerID=8YFLogxK
U2 - 10.1109/MWSCAS.2018.8623896
DO - 10.1109/MWSCAS.2018.8623896
M3 - Conference contribution
SN - 9781538673928
SP - 739
EP - 742
BT - 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS)
PB - IEEE
ER -