Paper
7 September 2023 Early warning obstacle avoidance system for delivery vehicles
Ruwei Duan, Hongyan Xu, Huaqiong Liu
Author Affiliations +
Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127900A (2023) https://doi.org/10.1117/12.2690047
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China
Abstract
With the rapid development of the social economy, take-out food service has gradually developed and popularized. While take-out service provides dining convenience for the dining group, the over speed delivery behavior of take-out deliverers also brings traffic safety risks to society. In order to avoid the delivery in the process of over speed driving electric motorcycle crash or other traffic safety accidents, This paper designs a set of early warning and obstacle avoidance system for distribution vehicles from two aspects of automatic early warning and automatic obstacle avoidance. At the same time, the feasibility of early warning and obstacle avoidance is verified by the joint simulation of simulink software and carsim in matlab. When there is a dangerous situation in the delivery process, the system will give an early warning to extend the reaction time of the delivery workers, and realize the automatic obstacle avoidance function of the delivery vehicles through the automatic obstacle avoidance system to ensure the traffic safety in the delivery process.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruwei Duan, Hongyan Xu, and Huaqiong Liu "Early warning obstacle avoidance system for delivery vehicles", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127900A (7 September 2023); https://doi.org/10.1117/12.2690047
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Ultrasonics

Sensors

Safety

Artificial intelligence

Intelligence systems

LED displays

Roads

Back to Top