Nicholasli1995/EgoNet
Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"
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.
Stars
184
Forks
21
Language
Python
License
MIT
Category
Last pushed
Apr 25, 2022
Commits (30d)
0
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