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.
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© 2016 Springer Science+Business Media Singapore
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Zheng, Z., Li, P., Hu, M., Zhang, W., Li, Y. (2016). Drivers’ Lane-Changing Maneuvers Detection in Highway. In: Long, S., Dhillon, B. (eds) Man-Machine-Environment System Engineering. MMESE 2016. Lecture Notes in Electrical Engineering, vol 406. Springer, Singapore. https://doi.org/10.1007/978-981-10-2323-1_3
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DOI: https://doi.org/10.1007/978-981-10-2323-1_3
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