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An autonomous car is a vehicle that is capable of driving itself with minimum or no human involvement by sensing and understanding its environment. Self Driving Cars involve the use of sensors, actuators, complex algorithms, AI systems and powerful processors to execute software. Object Detection in autonomous vehicles is used to help understand and perceive the surroundings of the vehicle for its safe driving. These are few models that apply deep learning and mathemadical models for the functioning of autnomous cars.
Learn MoreYOLO V3 algorithm to detect objects, pedestrians and other cars
YOLO V4 algorithm to detect smaller objects, pedestrians and signs faster
Hough transformation algorithm to detect driving lanes accurately
Using color masking to distinctly identify different objects or sceneries
Steering angle prediction using behavioral cloning to drive accurately
Sentiment Analysis to understand the passengers emotion and respond accordingly
A range of potential benefits that could revolutionize driving for the better led to the idea of building autonomous vehicles. These are greater road safety, greater independence, more economical and more productivity.
BE - B
Computer Engineering
Pimpri Chinchwad College of Engineering
BE - B
Computer Engineering
Pimpri Chinchwad College of Engineering
BE - B
Computer Engineering
Pimpri Chinchwad College of Engineering
BE - B
Computer Engineering
Pimpri Chinchwad College of Engineering