Drivers’ Lane-Changing Maneuvers Detection in Highway
Drivers’ Lane-Changing Maneuvers Detection in Highway
- New search for: Zheng, Zhixiao
- New search for: Li, Penghui
- New search for: Hu, Mengxia
- New search for: Zhang, Wenhui
- New search for: Li, Yibing
- New search for: Zheng, Zhixiao
- New search for: Li, Penghui
- New search for: Hu, Mengxia
- New search for: Zhang, Wenhui
- New search for: Li, Yibing
Abstract Three algorithms to detect driver’s lane-changing maneuvers are put forward there. Feature sets in different dimensions, several time windows and classifiers based on different theories are analyzed. Simulation result shows that the parameters including land departure amount, vehicle acceleration, steering angle, steering angle velocity, and steering torque can validly reflect the vehicle running status. The Random Forest (RF) Classifier based on decision-making tree theory presents the best detection result, where the lane-changing detection result reaches 94.92 % and the lane-changing maneuver can be detected 0.04 s after the onset of steering and 2.37 s before the vehicle totally crosses the desired lane line.
Document information
Drivers’ Lane-Changing Maneuvers Detection in Highway
Man-Machine-Environment System Engineering ; 1 ; 21-29
Lecture Notes in Electrical Engineering ; 406 , 1
2016-01-01
9 pages
Article/Chapter (Book)
Electronic Resource
English
Automotive engineering , Lane-changing maneuver detection , Driving simulation , Support vector machine , Random forest , K nearest neighbor Engineering , Robotics and Automation , Artificial Intelligence (incl. Robotics) , Human Physiology , Engineering Design , Aerospace Technology and Astronautics , Quality Control, Reliability, Safety and Risk
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