The Design and Simulation of Collision Avoidance System Based on Dual-Mode Collaborative

Shuo Chen; Ji Ming Yu; Yan Liu

doi:10.4028/www.scientific.net/AMR.936.2352

Paper Titles

Application of Traditional Chinese Decorative Patterns in Ceramics Design
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Packaging Material Barriers Faced by Foods and Agricultural Products Export of China and Countermeasures
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Safeguard System on the Quality of Excellent Engineers Training
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Design Methodologies of Ship General Arrangements - A Review
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The Design and Simulation of Collision Avoidance System Based on Dual-Mode Collaborative
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Quantitative Risk Assessment and Early Warning for pH Value of Disqualified Imported Textile
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Discussions of Resource Utilization of Coal Gangue
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Research on Modes of Recycling and Remanufacturing with Considering the Carbon Footprint
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Spatiotemporal Distribution of Rainfall Erosivity in the Bailong River Basin, Gansu Province
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 936The Design and Simulation of Collision Avoidance...

The Design and Simulation of Collision Avoidance System Based on Dual-Mode Collaborative

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.

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Periodical:

Advanced Materials Research (Volume 936)

Pages:

2352-2357

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.936.2352

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Online since:

June 2014

Authors:

Shuo Chen, Ji Ming Yu, Yan Liu

Keywords:

BP Artificial Neural Network, Driving Path Planning, Obstacle, Simulation, Vehicle Collision Avoidance

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