Portfolio item number 1
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portfolio
P2V (Pedestrian-To-Vehicle) Warning
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publications
Prediction of pedestrian crossing intentions at intersections based on long short-term memory recurrent neural network
Published in Transportation Research Record, 2019
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Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network
Published in Accident Analysis and Prevention, 2020
This paper uses a long short-term memory (LSTM) neural network to predict pedestrians’ dangerous situations.
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Prediction of Pedestrians’ Near-accident Events at Signalized Intersections Using Gated Recurrent Unit (GRU)
Published in Accident Analysis and Prevention, 2020
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Pedestrian Crossing Intention Prediction at Red-Light Using Pose Estimation
Published in IEEE Transactions on Intelligient Transportation Systems, 2021
This paper predicts pedestrians’ redlight crossings using computer visoon technique (pose estimation).
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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