Using Visual and Vehicular Sensors for Driver Behavior Analysis: A
  Survey
Bikram Adhikari
Risky drivers account for 70% of fatal accidents in the United States. With
recent advances in sensors and intelligent vehicular systems, there has been
significant research on assessing driver behavior to improve driving
experiences and road safety. This paper examines the various techniques used to
analyze driver behavior using visual and vehicular data, providing an overview
of the latest research in this field. The paper also discusses the challenges
and open problems in the field and offers potential recommendations for future
research. The survey concludes that integrating vision and vehicular
information can significantly enhance the accuracy and effectiveness of driver
behavior analysis, leading to improved safety measures and reduced traffic
accidents.