https://github.com/rishikesh-jadhav/birds-eye-view-trajectory-prediction-for-autonomous-driving
This repository contains our work on a comprehensive investigation on motion prediction for Autonomous Vehicles using the PowerBEV framework and a Multi-Camera setup. Validated trajectory forecasting capabilities on the NuScenes, Woven and Argoverse datasets and identified challenges in model generalization across these datasets.
https://github.com/rishikesh-jadhav/birds-eye-view-trajectory-prediction-for-autonomous-driving
analysis argoverse computer-vision deep-learning instance-prediction machine-learning motion-planning nuscenes pytorch trajectory-prediction
Last synced: 7 months ago
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This repository contains our work on a comprehensive investigation on motion prediction for Autonomous Vehicles using the PowerBEV framework and a Multi-Camera setup. Validated trajectory forecasting capabilities on the NuScenes, Woven and Argoverse datasets and identified challenges in model generalization across these datasets.
- Host: GitHub
- URL: https://github.com/rishikesh-jadhav/birds-eye-view-trajectory-prediction-for-autonomous-driving
- Owner: Rishikesh-Jadhav
- License: other
- Created: 2023-12-11T00:19:09.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-05T20:19:14.000Z (over 1 year ago)
- Last Synced: 2025-04-12T14:53:13.071Z (7 months ago)
- Topics: analysis, argoverse, computer-vision, deep-learning, instance-prediction, machine-learning, motion-planning, nuscenes, pytorch, trajectory-prediction
- Language: Python
- Homepage:
- Size: 120 MB
- Stars: 8
- Watchers: 1
- Forks: 2
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff