GitHub / 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.
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PURL: pkg:github/Rishikesh-Jadhav/Birds-Eye-View-Trajectory-Prediction-for-Autonomous-Driving
Stars: 9
Forks: 2
Open issues: 1
License: other
Language: Python
Size: 120 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 2 months ago
Pushed at: about 1 year ago
Last synced at: about 2 months ago
Topics: analysis, argoverse, computer-vision, deep-learning, instance-prediction, machine-learning, motion-planning, nuscenes, pytorch, trajectory-prediction