Nicholasli1995/EgoNet

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

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This project helps self-driving car engineers and researchers accurately determine the 3D orientation of vehicles (cars, pedestrians, cyclists) from a single camera image. It takes a standard RGB camera feed as input and outputs precise vehicle pose estimations. Anyone working on autonomous navigation, obstacle detection, or 3D scene understanding for automotive applications would find this useful.

184 stars. No commits in the last 6 months.

Use this if you need to understand the precise orientation of vehicles and other objects around your autonomous system using only a single monocular camera.

Not ideal if you have access to stereo cameras or LiDAR, which can provide more direct 3D perception.

autonomous-driving vehicle-perception robotics computer-vision 3d-object-pose
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

184

Forks

21

Language

Python

License

MIT

Last pushed

Apr 25, 2022

Commits (30d)

0

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