Geo-trax is an end-to-end pipeline to extract and analyze georeferenced vehicle trajectories from quasi-stationary drone imagery.
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Updated
Jun 18, 2024 - Python
Geo-trax is an end-to-end pipeline to extract and analyze georeferenced vehicle trajectories from quasi-stationary drone imagery.
Transforming multiple vehicle-mounted camera images into a bird’s-eye view (BEV), this project employs deep learning, including a U-Net backbone for semantic segmentation and a spatial transformer module.
Perspective transformation (birds eye) tool, for easy experimenting and finding the right transformation values.
The code used by the team of the Hanze UAS during the Self Driving Challenge 2024
A dashboard for monitoring 1 meter social distancing for outdoor areas using computer vision
This repository is dedicated for 3D detection , sensor fusion and tracking using camera and LIDAR data
[ITSC 23] Official codebase for the paper 'Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion
Talk2BEV: Language-Enhanced Bird's Eye View Maps (Accepted to ICRA'24)
[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
[IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
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