Mr. HU Fengqing, Mr. WANG Mingfeng, Dr. WU Jingda, and Dr. HUANG Chao from the Human-Oriented Intelligent Systems Lab (HOIS) achieved rank 2 and received 2nd prize in the 2023 IEEE ITSS Student Competition in Pedestrian Behavior Prediction.
The 2023 IEEE ITSS Student Competition in Pedestrian Behavior Prediction was organized by the IEEE Intelligent Transportation Systems Society (IEEE ITSS), Technical Committee on Human-Centered AI in Transportation (HAIT). This competition aimed at advancing the research field of pedestrian behavior prediction, which is one of the most critical challenges for fully automated driving in urban settings. Research teams in the field of intelligent transportation from worldwide renowned universities were involved.
The ISE team won the second prize with the project entitled “An Ensemble Multimodal-LSTM with Data Augmentation for Pedestrian Intention Prediction”, which was led by Mr. HU Fengqing and was supervised by Dr. HUANG Chao. The project aimed at producing more accurate and robust pedestrian behavior prediction methods based on deep neural networks to ensure the safety of both pedestrians and autonomous vehicles. Mr. HU Fengqing attended the award ceremony and presented the project at the 3rd Workshop on The Prediction of Pedestrian Behaviors for Automated Driving at ITSC 2023.
Mr. HU Fengqing is currently a Ph.D. student from the Department of ISE. He is supervised by Dr. HUANG Chao and is co-supervised by Prof. FU Xiaowen.
Mr. WANG Mingfeng is currently a MSc student from the Department of Applied Mathematics (AMA). He is working on his thesis with the Department of ISE on the topic of pedestrian intention.
Dr. WU Jingda is currently a Postdoc researcher in the Department of ISE. He received his Ph.D. degree from Nanyang Technological University (NTU). His research interest lies in the intersection between reinforcement learning (RL) and autonomous electrified vehicles.
Congratulations on their achievement, and we wish them further success on the future research road.
| Topics | Student Achievement |
|---|---|
| Department of Industrial and Systems Engineering |
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