An Overview on Intelligent Vehicle Trajectory Prediction Based on DeepLearning

Journal Title: Automotive Digest - Year 2024, Vol 577, Issue 2

Abstract

n orderto fully understand the research methods and current status of deep learning-based trajectoryprediction of intelligent vehicles, through the analysis and summary of existing literature, the input representation, outputtypes, and prediction methods of deep learning- based trajectory prediction models are analyzed. The results show thattrajectory prediction methods based on deep learning demonstrate outstanding performance in long- term, multi- modalmotion and vehicle-road interaction scenarios.

Authors and Affiliations

Yang Rongmiao, Zhang Guozong

Keywords

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  • EP ID EP735962
  • DOI -
  • Views 29
  • Downloads 1

How To Cite

Yang Rongmiao, Zhang Guozong (2024). An Overview on Intelligent Vehicle Trajectory Prediction Based on DeepLearning. Automotive Digest, 577(2), -. https://europub.co.uk/articles/-A-735962