Human-Machine Interaction in Advanced Driver Assistant Systems: Design and Evaluation

Year : 2024 | Volume :11 | Issue : 01 | Page : 1-8
By

Shravani Akude

Tejas Bhete

Sayali Gaikwad

Nilesh Bhaskar

  1. Student Department of Electronics and Telecommunication Engineering, Sinhgad College of Engineering, Pune Maharashtra India
  2. Student Department of Electronics and Telecommunication Engineering, Sinhgad College of Engineering, Pune Maharashtra India
  3. Student Department of Electronics and Telecommunication Engineering, Sinhgad College of Engineering, Pune Maharashtra India
  4. Professor Department of Electronics and Telecommunication Engineering, Sinhgad College of Engineering, Pune Maharashtra India

Abstract

An autonomous vehicle, also known as a self-driving car or self-driving car, is one that is equipped with sensors and cameras to monitor its environment and can operate independently without the need for human intervention. It recognizes objects in the immediate environment, such as people, animals, and barriers, using a combination of cameras and sensors. reducing fuel waste, improving mobility, safety, and customer pleasure, among other things. Cost savings is one advantage of owning an autonomous vehicle. There will be fewer injuries and accidents as well as lower insurance costs as a result of the safety benefits. The primary objective of Advanced Driver Assistance Systems (ADAS), a technological innovation in the automotive sector, is to enhance driving comfort and safety. Its primary goals are to assure uniform driving by recognizing lanes using computer vision, enhance traffic flow by detecting traffic signals, decrease crashes with radar and lidar-assisted protection, and promote cautious driving through detection. By fusing these functions, ADAS aims to revolutionize driving behavior, which will ultimately lower accident rates and make driving safer and more enjoyable. With the goal of having a major influence on the creation of intelligent and safe vehicles, ADAS has been positioned as a leader in the development of automotive technology.

Keywords: Traffic sign recognition, Lidar, Image processing, Vehicle safety, Driver assistance system

[This article belongs to Journal of Microelectronics and Solid State Devices(jomsd)]

How to cite this article: Shravani Akude, Tejas Bhete, Sayali Gaikwad, Nilesh Bhaskar. Human-Machine Interaction in Advanced Driver Assistant Systems: Design and Evaluation. Journal of Microelectronics and Solid State Devices. 2024; 11(01):1-8.
How to cite this URL: Shravani Akude, Tejas Bhete, Sayali Gaikwad, Nilesh Bhaskar. Human-Machine Interaction in Advanced Driver Assistant Systems: Design and Evaluation. Journal of Microelectronics and Solid State Devices. 2024; 11(01):1-8. Available from: https://journals.stmjournals.com/jomsd/article=2024/view=151470

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Regular Issue Subscription Original Research
Volume 11
Issue 01
Received May 1, 2024
Accepted May 15, 2024
Published May 28, 2024