This paper discusses about researching an automated robot car using
artificial intelligence; training its neural network using AlexNet
model, using YOLO (you only look once algorithm) for object detection
phase and for practical deduction and judging component we have used
Open Neural Network Exchange (ONNX) format. Our Robot Car model is agile
and cost efficient. It detects objects efficiently in front of it and
movement of it is smooth. It moves through sensors in motors which makes
it different than other models in the world.