research-article

Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data

Authors:

Feng ZhouAuthors Info & Claims

AutomotiveUI '22: Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Pages 139 - 149

https://doi.org/10.1145/3543174.3547117

Published: 17 September 2022 Publication History

Abstract

Advanced driver assistance systems (ADAS) are designed to improve vehicle safety. However, it is difficult to achieve such benefits without understanding the causes and limitations of the current ADAS and their possible solutions. This study 1) investigated the limitations and solutions of ADAS through a literature review, 2) identified the causes and effects of ADAS through consumer complaints using natural language processing models, and 3) compared the major differences between the two. These two lines of research identified similar categories of ADAS causes, including human factors, environmental factors, and vehicle factors. However, academic research focused more on human factors of ADAS issues and proposed advanced algorithms to mitigate such issues while drivers complained more of vehicle factors of ADAS failures, which led to associated top consequences. The findings from these two sources tend to complement each other and provide important implications for the improvement of ADAS in the future.

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AutomotiveUI '22: Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 2022

371 pages

ISBN:9781450394154

DOI:10.1145/3543174

General Chairs:
Yong Gu Ji
Yonsei University, South Korea
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Virginia Tech, USA

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AutomotiveUI '22: 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 17 - 20, 2022

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https://doi.org/10.4271/10-08-04-0029
Nicolae AȘtefan BIoan SBogdan SValentin DMihail M(2024)A short review of the ADAS progress in the last decade and the potential concept of Human-Machine Symbiosis (HMS)The Scientific Bulletin of Electrical Engineering Faculty10.2478/sbeef-2024-000724:1(41-45)Online publication date: 20-Jun-2024
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Mehta APadaria ABavisi DUkani VThakkar PGeddam RKotecha KAbraham A(2024)Securing the Future: A Comprehensive Review of Security Challenges and Solutions in Advanced Driver Assistance SystemsIEEE Access10.1109/ACCESS.2023.334720012(643-678)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2023.3347200
Ayoub JAvetisian LYang XZhou F(2023)Real-Time Trust Prediction in Conditionally Automated Driving Using Physiological MeasuresIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.329578324:12(14642-14650)Online publication date: 1-Aug-2023
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