Driver Drowsiness Detection and Adaptive Braking System

Road accidents due to driver fatigue account for a significant percentage of incidents. This paper introduces a Driver Drowsiness Detection and Adaptive Braking System aimed at improving road safety through drowsiness detection, lane keeping, and adaptive braking. By integrating computer vision, fuzzy logic, and multi-sensor fusion, the system ensures timely alerts, smooth braking, and seamless transitions between manual and autonomous driving modes. It also addresses challenges in existing systems, offering economic and environmental benefits through reduced accidents and emissions.

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Publication Details

Published
2025-06-18
DOI
https://doi.org/10.1109/gcon65540.2025.11173295
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
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article

Driver Drowsiness Detection and Adaptive Braking System

Askar H. Choudhury, N. Chouhan, Prasenjit Barman, Chanakya Borgohain et al.
Sleep and Work-Related Fatigue
article

Driver Drowsiness Detection and Adaptive Braking System

Askar H. Choudhury, N. Chouhan, Prasenjit Barman, Chanakya Borgohain, Subungsa Boro, Niranjan Jyoti Borah
article en

Abstract

Road accidents due to driver fatigue account for a significant percentage of incidents. This paper introduces a Driver Drowsiness Detection and Adaptive Braking System aimed at improving road safety through drowsiness detection, lane keeping, and adaptive braking. By integrating computer vision, fuzzy logic, and multi-sensor fusion, the system ensures timely alerts, smooth braking, and seamless transitions between manual and autonomous driving modes. It also addresses challenges in existing systems, offering economic and environmental benefits through reduced accidents and emissions.

Indian Institute of Information Technology Guwahati (IN)
Openalex Percentile: Top 73%
Sleep and Work-Related Fatigue
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