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Prediction of Dangerous Driving Behavior Based on Vehicle Motion State and Passenger Feeling Using Cloud Model and Elman Neural Network.
Huaikun Xiang
Jiafeng Zhu
Guoyuan Liang
Yingjun Shen
Published in:
Frontiers Neurorobotics (2021)
Keyphrases
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cloud model
elman neural network
image sequences
prediction accuracy
autonomous driving
dangerous situations
motion estimation
prediction model
space time
motion model
human motion
pedestrian detection
machine learning
least squares
traffic accidents
artificial neural networks
fuel consumption