Collision avoidance using neural networks

[摘要] Now a days, accidents on roads are caused due to the negligence of drivers and pedestrians or due to unexpected obstacles that come into the vehicle's path. In this paper, a model (robot) is developed to assist drivers for a smooth travel without accidents. It reacts to the real time obstacles on the four critical sides of the vehicle and takes necessary action. The sensor used for detecting the obstacle was an IR proximity sensor. A single layer perceptron neural network is used to train and test all possible combinations of sensors result by using Matlab (offline). A microcontroller (ARM Cortex-M3 LPC1768) is used to control the vehicle through the output data which is received from Matlab via serial communication. Hence, the vehicle becomes capable of reacting to any combination of real time obstacles.

[发布机构] School of Electronics Engineering, VIT University, Vellore, Tamil Nadu; 632014, India^1

[效力级别] 工业技术

[关键词] ARM Cortex-M3;Ir proximity sensors;Offline;Output data;Real time;Serial communications;Single layer perceptron