Microcontroller Based Neural Network Controlled Low Cost Autonomous Vehicle

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Provided by: International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE)
Topic: Mobility
Format: PDF
The hurdle distance is measured using four ultrasonic sensors which are equipped in vehicle. A low cost P89V51RD2-NP microcontroller is used in which a GPS receiver, a GSM modem and a RAM memory is interfaced. A GPS receiver is used for receive the goal position information, a GSM modem is used for changing destination place on run time and data is stored in a non-volatile RAM. The information is acquired from the sensors which are processed by the microcontroller and it generates commands for robot motion based on neutral network. The neutral network is a multi layer feed forward network in which back-propagation training algorithm is used.
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