Road accidents are one of the leading causes of death in India. These road accidents are often caused by rash driving while intoxicated, drowsy or fatigued drivers, road conditions and many more. There are many works and literature for detection systems that aim to mitigate these issues but these systems often fail to be integrated on a large scale either due to high installation/maintenance costs or due to poor reliability because of the high complexity of these systems. This chapter aims to review current existing technologies for the detection of driver drowsiness, alcohol intake, overspeeding/reckless driving etc., by carefully examining their advantages, disadvantages, and methodologies. From this information, we propose a conceptual system that is aimed to overcome the limitations of these currently existing systems and is specially tailored to be effective in the Indian context and for other developing countries.

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A Survey on Driver’s Unusual Behaviour Detection

  • Baibhab Adhikari,
  • Debargho Chatterjee Ganguly,
  • Bodhi Chakraborty,
  • Gayatree Parbat,
  • Biswajit Gope

摘要

Road accidents are one of the leading causes of death in India. These road accidents are often caused by rash driving while intoxicated, drowsy or fatigued drivers, road conditions and many more. There are many works and literature for detection systems that aim to mitigate these issues but these systems often fail to be integrated on a large scale either due to high installation/maintenance costs or due to poor reliability because of the high complexity of these systems. This chapter aims to review current existing technologies for the detection of driver drowsiness, alcohol intake, overspeeding/reckless driving etc., by carefully examining their advantages, disadvantages, and methodologies. From this information, we propose a conceptual system that is aimed to overcome the limitations of these currently existing systems and is specially tailored to be effective in the Indian context and for other developing countries.