Embodiments of this disclosure provide a deep learning model used for driving behavior recognition and training apparatus and method thereof. In recognition, the model performs feature extraction by using a plurality of consecutive input images obtained by capturing from a driving angle of view of a vehicle, and performs temporal and spatial fusion on extracted features by using a recursive neural network; furthermore, in training, as images obtained by capturing from a driving angle of view of a vehicle are easy to be acquired, the model may be relatively easily trained. Hence, the model may accurately recognize various classes of driving behaviors.
DEEP LEARNING MODEL USED FOR DRIVING BEHAVIOR RECOGNITION AND TRAINING APPARATUS AND METHOD THEREOF