A Review of Computer Vision and Algorithmic Advancements in Autonomous Vehicle Technology

EasyChair Preprint 10439

Abstract

Self-driving cars are emerging fast and will be a bright reality soon. For large companies and companies willing to search, years of integrated and comprehensive lists have been devoted. This is the ability to work in the future. While the utopian dreamer searches for the path to this imagined future. As driving has evolved dramatically, the development of computer vision algorithms and combined driving has led to the creation of comprehensive teams to train this information. In this review, we provide a brief look at research trends in the intersectional fields of autonomous vehicles and computer vision. In addition, advanced algorithms for solving common challenges faced by autonomous systems, including object detection and semantic landscape segmentation, are discussed.

Keyphrases: human interaction., objects tracking, scene segmentation

@booklet{EasyChair:10439,
  author    = {Saad Shalbi and Ali Aboria},
  title     = {A Review of Computer Vision and Algorithmic Advancements in Autonomous Vehicle Technology},
  howpublished = {EasyChair Preprint 10439},
  year      = {EasyChair, 2023}}