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Artificial Intelligence for Autonomous Vehicles
book

Artificial Intelligence for Autonomous Vehicles

by Sathiyaraj Rajendran, Munish Sabharwal, Yu-Chen Hu, Rajesh Kumar Dhanaraj, Balamurugan Balusamy
March 2024
Intermediate to advanced content levelIntermediate to advanced
272 pages
7h 45m
English
Wiley-Scrivener
Content preview from Artificial Intelligence for Autonomous Vehicles

7An Approach for Avoiding Collisions with Obstacles in Order to Enable Autonomous Cars to Travel Through Both Static and Moving Environments

T. Sivadharshan1*, K. Kalaivani1, N. Golden Stepha2, Rajitha Jasmine R.2, A. Jasmine Gilda2 and S. Godfrey3

1Vels Institute of Science, Technology & Advanced Studies, Tamil Nadu, India

2RMK Engineering College, Tamil Nadu, India

3SRM Institute of Science and Technology, Tamil Nadu, India

Abstract

Because it is aware of its surroundings and can, as a result, see them, an intelligent automobile is able to recognize any potential road hazards that it may encounter. In point of fact, an intelligent automobile has to be able to recognize both other automobiles and any possible obstructions in its route, such as pedestrians or bicycles. This is necessary in order for the vehicle to function properly. These next-generation driver assistance systems are designed to comprehend the circumstances in order to make the highway a safer place for everyone. It has been determined to be of the highest significance for intelligent autos to be able to identify obstacles that are located in the immediate proximity of a host vehicle and provide accurate forecasts of the locations and speeds of such obstacles. Within this framework, a vast number of systems have been designed to deal with the detection of obstacles in a variety of diverse contexts. These systems may be found in a wide range of settings. The locations in which one may find these systems are ...

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Publisher Resources

ISBN: 9781119847465Purchase Link