Microcontroller Based Neural Network Controlled Low Cost Autonomous Vehicle Working:

The Microcontroller we are chosen here is LPC2148 ARM controller. This ARM controller consists of two RS232 ports which is able to communicate with GPS and GSM modem at a time. The operating voltage of ARM is 3.3v which will be done in power circuit block. The target location values (Longitude & Latitude) are sent as message to GSM module which is connected to the Controller. The controller will analyze the current position values of the vehicle and comp [area it to destination position value and make the motors to rotate such that it reaches the Destination. When  going to the destination if there is any obstacle  it will be observed by using IR Transmitter and Receiver and make the vehicle to rotate and move to destination position. Once the vehicle reaches the destination the Buzzer will switches on.

SOFTWARE: Embedded ‘C’ programming Language

TOOLS:  Keil Software , Flash magic tool

TARGET DEVICE:  LPC2148Microcontroller

APPLICATIONS: Neural Network Controlled Low Cost Autonomous Vehicle

ADVANTAGES: Low Cost, Secure & reliable.

Other Devices Used:  POWER SUPPLY Cable, BUZZER, MOTOR DRIVE, IR TRANSMITTER,

IR RECEIVER, GSM, GPS, ARM CONTROLLER LPC 2148

Download Microcontroller Based Neural Network Controlled Low Cost Autonomous Vehicle Embedded System Final Year Project