https://github.com/rohanchandra30/TrackNPred

This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.
https://github.com/rohanchandra30/TrackNPred

cvpr deep-learning icra noisy-sensor-inputs prediction road-agents social-gan social-lstm tracking-algorithm trajectory-prediction traphic yolo

Last synced: 3 months ago
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This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.

• Host: GitHub
• URL: https://github.com/rohanchandra30/TrackNPred
• Owner: rohanchandra30
• Created: 2019-07-21T02:59:28.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-12-08T03:15:20.000Z (about 5 years ago)
• Last Synced: 2024-08-02T01:21:53.170Z (7 months ago)
• Topics: cvpr, deep-learning, icra, noisy-sensor-inputs, prediction, road-agents, social-gan, social-lstm, tracking-algorithm, trajectory-prediction, traphic, yolo
• Language: Python
• Homepage: https://arxiv.org/pdf/1907.08752.pdf
• Size: 140 MB
• Stars: 196
• Watchers: 7
• Forks: 63
• Open Issues: 14
• Metadata Files:
  • Readme: README.MD

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