BR-GAN: A Pedestrian Trajectory Prediction Model Combined With Behavior Recognition

Author:

Pang Shu Min1ORCID,Cao Jin Xin1ORCID,Jian Mei Ying2,Lai Jian3,Yan Zhen Ying4ORCID

Affiliation:

1. School of Mathematical Sciences, Inner Mongolia University, Hohhot, China

2. Institute of Transportation Engineering, Inner Mongolia University, Hohhot, China

3. School of Electronic and Information Engineering, Harbin Institute of Technology, Harbin, China

4. Inner Mongolia Academy of Science and Technology, Hohhot, China

Funder

National Natural Science Foundation of China

Key Technology Research Plan of Inner Mongolia Autonomous Region

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Reference42 articles.

1. Generative adversarial nets;goodfellow;Proc Adv Neural Inf Process Syst,2014

2. Pedestrian Motion Trajectory Prediction With Stereo-Based 3D Deep Pose Estimation and Trajectory Learning

3. SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction

4. Show, attend and tell: Neural image caption generation with visual attention;xu;Proc Int Conf Mach Learn,2015

5. Encoding Crowd Interaction with Deep Neural Network for Pedestrian Trajectory Prediction

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