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Mobile Networks and Applications
Erschienen in: Mobile Networks and Applications 1/2023

30.05.2022

A Novel Approach to Enhance Safety on Drowsy Driving in Self-Driving Car

verfasst von: Md. Motaharul Islam, Ibna Kowsar, Mashfiq Shahriar Zaman, Md. Fahmidur Rahman Sakib, Nazmus Saquib, Syed Md. Shamsul Alam

Erschienen in: Mobile Networks and Applications | Ausgabe 1/2023

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Abstract

Drowsy driving centric accidents are increasing at a frightening rate. Needless to say that the state-of-the-art technologies only have competencies in detecting drowsiness and alerting the drowsy driver. Existing methods have some remarkable hindrances in the domain of handling the distressed situation. Therefore these methodologies are ineffective to take additional safety measures if the driver is not proficient enough to operate the vehicle even though an alarm is given. Consequently, after evaluating the existing methodologies and the growth of autonomous vehicles, we have proposed an innovative approach that detects driver drowsiness in real-time. Our suggested model can locate a nearest available safe parking space and reach the parking location after initiating the autonomous driving mode to ensure safety. The proposed methodology has achieved an accuracy of 98%.
Vorheriger Artikel Component-Centric Mobile Cloud Architecture Performance Evaluation: an Analytical Approach for Unified Models and Component Compatibility with Next Generation Evolving Technologies
Nächster Artikel SCMA Joint Coding and Decoding Algorithm Based on Code Reliability

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Metadaten
Titel
A Novel Approach to Enhance Safety on Drowsy Driving in Self-Driving Car
verfasst von
Md. Motaharul Islam
Ibna Kowsar
Mashfiq Shahriar Zaman
Md. Fahmidur Rahman Sakib
Nazmus Saquib
Syed Md. Shamsul Alam
Publikationsdatum
30.05.2022
Verlag
Springer US
Erschienen in
Mobile Networks and Applications / Ausgabe 1/2023
Print ISSN: 1383-469X
Elektronische ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-022-01932-8

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