On Vehicle Aggressive Driving Behavior Detection Using Visual Information

Date

2015-05-19

Author

Kumtepe, Omurcan
Akar, Gözde
Yuncu, Enes

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Most of the traffic accidents are caused by human related factors. One of the most important human related factor in terms of traffic accident risk is aggressive driving behavior. Although driver aggressiveness is related with psychological reasons, it can be detected by observation of driving behavior using different sensing devices. This work presents a driver aggressiveness detection method exploiting the visual data obtained by on vehicle camera. The proposed method uses this visual data in order to extract features such as lane departure rate and possible collision time by detection of road lines and vehicles on the road. These features are used to train a classifier which decides on whether an aggressive behavior is performed in related driving session. According to conducted tests the proposed method is observed to achieve 90% correct detection rate of aggressive driving behavior.

Subject Keywords

Vehicle detection, Lane detection, Collision detection, Intelligent driving systems, Driving behavior, Driver aggressiveness, Road safety

URI

https://hdl.handle.net/11511/54274

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

O. Kumtepe, G. Akar, and E. Yuncu, “On Vehicle Aggressive Driving Behavior Detection Using Visual Information,” 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54274.