Abstract
This article establish a model to give a detailed analysis of road vehicle collision avoidance systems according to the angle between vehicle and obstacle, and raise a vehicle collision avoidance detecting mechanism based on location mapping and distance detecting; furthermore, The authors combined this mechanism and BP artificial neural network to establish a new vehicle collision avoidance systems which is based on the collaboration between precise distance angle model and BP artificial neural network. We called this mechanism as BP artificial neural network vehicle collision avoidance model, the abbreviation is BP collision model. The convergence simulation of such model present that this model can resolve problem of collision avoidance and plan driving Path very well.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.