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

Browse Figures

References

  1. Felipe Jiménez, José Eugenio, Advanced Driver Assistance System for road environments to improve safety and efficiency, Transportation Research Procedia 14 (2016) 2245 – 2254.
  2. Anand, A. Manoj Kumar, Research Study on Advanced Driver-Assistance Systems(ADAS) – Global & Indian Automotive Scenario, e-ISSN: 2582-5208.
  3. Liyong Wang, Peng Sun, Advanced Driver- Assistance System (ADAS) for Intelligent Transportation Based on the Recognition of Traffic Cones, Advances in Civil Engineering Volume 2020, Article ID 8883639.
  4. Vipin Kumar Kukkala, Jordan Tunnell, Advanced Driver-Assistance Systems A path toward autonomous vehicles, DOI: 10.1109/MCE.2018.2828440.
  5. Adam Ziebinski, Rafal Cupek, Review of Advanced Driver Assistance Systems (ADAS), DOI 10.1063/1.5012394.
  6. Rachid Lghoul, Al Akhawayn University, Advanced Driver Assistance Systems Using AI, in Proc. 5th WSEAS ISPRA, 2006, pp. 295–300.
  7. Biondi FN, Getty D, McCarty MM, Goethe RM, Cooper JM, Strayer DL. The challenge of advanced driver assistance systems assessment: A scale for the assessment of the human–machine interface of advanced driver assistance technology. Transportation research record. 2018 Dec;2672(37):113-22.
  8. Takada Y, Boer ER, Sawaragi T. Driver assist system for human–machine interaction. Cognition, Technology & Work. 2017 Nov;19(4):819-36.
  9. Mendoza PA, Angelelli A, Lindgren A. Ecological interface design inspired human machine interface for advanced driver assistance systems. IET Intelligent Transport Systems. 2011 Mar 1;5(1):53-9.
  10. Albers D, Radlmayr J, Loew A, Hergeth S, Naujoks F, Keinath A, Bengler K. Usability evaluation—advances in experimental design in the context of automated driving human–machine interfaces. Information. 2020 Apr 28;11(5):240.
  11. Tan Z, Dai N, Su Y, Zhang R, Li Y, Wu D, Li S. Human–machine interaction in intelligent and connected vehicles: a review of status quo, issues, and opportunities. IEEE Transactions on Intelligent Transportation Systems. 2021 Nov 30;23(9):13954-75.

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