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

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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%.

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Authors and Affiliations

  1. Computer Science and Engineering, United International University, Dhaka, Bangladesh

    Md. Motaharul Islam

  2. BRAC University, Dhaka, Bangladesh

    Ibna Kowsar, Mashfiq Shahriar Zaman, Md. Fahmidur Rahman Sakib, Nazmus Saquib & Syed Md. Shamsul Alam

Authors
  1. Md. Motaharul Islam
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  2. Ibna Kowsar
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  3. Mashfiq Shahriar Zaman
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  4. Md. Fahmidur Rahman Sakib
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  5. Nazmus Saquib
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  6. Syed Md. Shamsul Alam
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Correspondence to Md. Motaharul Islam.

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Islam, M.M., Kowsar, I., Zaman, M.S. et al. A Novel Approach to Enhance Safety on Drowsy Driving in Self-Driving Car. Mobile Netw Appl 28, 272–284 (2023). https://doi.org/10.1007/s11036-022-01932-8

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  • DOI: https://doi.org/10.1007/s11036-022-01932-8

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