Review of Self-Driving Vehicles

M. A. Baballe; Amanatu K.; Khadija A. B.

doi:10.5281/zenodo.10363856

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JOURNAL ARTICLE

Review of Self-Driving Vehicles

M. A. Baballe Amanatu K.Khadija A. B.

Year: 2023 Journal: Zenodo (CERN European Organization for Nuclear Research) Publisher: European Organization for Nuclear Research

DOI: 10.5281/zenodo.10363856

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Abstract

In recent years, self-driving cars have drawn a lot of attention. One of the most important aspects of their perception system is real-time object detection. Accurate and timely object detection in a variety of intricate traffic situations is a major obstacle in the development of safe and effective self-driving cars.

Keywords:

Variety (cybernetics) Obstacle Object (grammar) Object detection Perception

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Topics

Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Vehicle License Plate Recognition

Physical Sciences → Engineering → Media Technology

Review of Self-Driving Vehicles

Abstract

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