In current years self-driving cars have come to be most of the maximum actively mentioned and researched topics. By all definitions, those systems as a robot revolution belong to the robotics discipline, in spite of the truth that humans normally assign them to a particular area of the car industry. Replicating the complicated assignment of human driving by autonomous systems poses limitless engineering challenges, concerning the broader discipline of robotics, along with surroundings perception, choice making and control. Here we discuss all the types of autonomous cars invented and their most important technology used in it. And most importantly we discuss Tesla technology and the way they develop self-driving cars with the help of machine learning and giving cameras a vision using open CV, deep learning, etc. Also find how cameras are best in place of Lidar in autonomous cars.
Self-Driving Car Using Machine Learning
Lect. Notes in Networks, Syst.
Emerging Technologies in Data Mining and Information Security ; Chapter : 69 ; 709-719
2022-09-29
11 pages
Article/Chapter (Book)
Electronic Resource
English
Autonomous car , Lidar , Artificial intelligence (AI) , Camera vision , Machine and deep learning , Neural network Engineering , Computational Intelligence , Information Storage and Retrieval , Computer Imaging, Vision, Pattern Recognition and Graphics , Data Structures and Information Theory , Artificial Intelligence
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