RC-TL: Reinforcement Convolutional Transfer Learning for Large-scale Trajectory Prediction

Author:

Emami Negar1,Pacheco Lucas1,Di Maio Antonio1,Braun Torsten1

Affiliation:

1. University of Bern,Institute of Computer Science,Switzerland

Publisher

IEEE

Reference22 articles.

1. How Would Surround Vehicles Move? A Unified Framework for Maneuver Classification and Motion Prediction

2. When will it change the lane? A probabilistic regression approach for rarely occurring events

3. SVM Based Trajectory Predictions of Lane Changing Vehicles

4. Convolutional neural network for trajectory prediction;nikhil;Proceedings of the European Conference on Computer Vision (ECCV) Workshops,2018

5. Neural architecture search: A survey;elsken;J Mach Learn Res,2019

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1. An Intelligent Entity in 6G Networks for Advanced Mobility Management: Analyzing the Benefits and Accuracy Requirements;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05

2. A Distributed Aggregation Approach for Vehicular Federated Learning;IEEE Access;2024

3. INTRAFORCE: Intra-Cluster Reinforced Social Transformer for Trajectory Prediction;2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob);2022-10-10

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