Vulnerable Road User Trajectory Prediction for Autonomous Driving Using a Data-Driven Integrated Approach
Author:
Affiliation:
1. School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China
2. School of Mechanical Engineering and the MoE Key Laboratory of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China
Funder
Key Special Projects for International Cooperation in Science and Technology Innovation
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10175858/10077199.pdf?arnumber=10077199
Reference46 articles.
1. Pedestrian Path Prediction with Recursive Bayesian Filters: A Comparative Study
2. No-Reference Quality Assessment for Screen Content Images Using Visual Edge Model and AdaBoosting Neural Network
3. Human motion trajectory prediction: a survey
4. Prediction of flooding in the downstream of the Three Gorges Reservoir based on a back propagation neural network optimized using the AdaBoost algorithm
5. Simulation of pedestrian behavior during the flashing green signal using a modified social force model
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