TY - GEN
T1 - Towards ITS vision assisted cooperative perception
AU - Farhat, Wajdi
AU - Rufino, Joao
AU - Fernandes, Bruno
AU - Almeida, Joao
AU - Alam, Muhammad
AU - Souani, Chokri
AU - Ferreira, Joaquim
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/20
Y1 - 2018/7/20
N2 - Undoubtedly ITS technologies are maturing as an everyday reality and vehicles are being introduced as information providers on a very complex multi-agent system. Consequently, legacy vehicles, without such capabilities, will become a hindrance to the market introduction phase and consequently a liability to the overall user safety. In this paper, we aim to help on mitigating this issue by presenting a cooperative awareness system that can be easily coupled with already available systems. The system is to be used by different agents since it detects road traffic obstacles. It also provides vehicle collision avoidance to rear- ended accidents by warning the driver of the potential risk. The information gathered is then broadcasted to alert the surrounding environment. The proposed algorithm was developed using Open- CV which provides an open source library for computer vision algorithms. The system operation is divided into three steps, firstly a smart-phone camera is used for car detection. Then, the distance to the vehicles is computed and the risk of collision is evaluated. Finally, the information is broadcasted notifying other vehicles of the presence of the proximity of the vehicle. The experimental and obtained results show the efficiency of the developed system in real-world scenarios. In terms of detection accuracy, the evaluations show a 91% precision rate.
AB - Undoubtedly ITS technologies are maturing as an everyday reality and vehicles are being introduced as information providers on a very complex multi-agent system. Consequently, legacy vehicles, without such capabilities, will become a hindrance to the market introduction phase and consequently a liability to the overall user safety. In this paper, we aim to help on mitigating this issue by presenting a cooperative awareness system that can be easily coupled with already available systems. The system is to be used by different agents since it detects road traffic obstacles. It also provides vehicle collision avoidance to rear- ended accidents by warning the driver of the potential risk. The information gathered is then broadcasted to alert the surrounding environment. The proposed algorithm was developed using Open- CV which provides an open source library for computer vision algorithms. The system operation is divided into three steps, firstly a smart-phone camera is used for car detection. Then, the distance to the vehicles is computed and the risk of collision is evaluated. Finally, the information is broadcasted notifying other vehicles of the presence of the proximity of the vehicle. The experimental and obtained results show the efficiency of the developed system in real-world scenarios. In terms of detection accuracy, the evaluations show a 91% precision rate.
UR - http://www.scopus.com/inward/record.url?scp=85050997237&partnerID=8YFLogxK
U2 - 10.1109/VTCSpring.2018.8417862
DO - 10.1109/VTCSpring.2018.8417862
M3 - Conference Proceeding
AN - SCOPUS:85050997237
T3 - IEEE Vehicular Technology Conference
SP - 1
EP - 4
BT - 2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 87th IEEE Vehicular Technology Conference, VTC Spring 2018
Y2 - 3 June 2018 through 6 June 2018
ER -