PERCEPTION
Automated Robot (Car) using Artificial Intelligence
Satyam Mishra, Cao Sy Minh, Hoang Thi Chuc, Tran Viet Long
- Year
- 2022
- Citations
- 16
Abstract
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.
Keywords
Computer scienceRobotArtificial intelligenceArtificial neural networkComponent (thermodynamics)Object detectionComputer visionAgile software developmentObject (grammar)SMT placement equipment
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002