jbwang1997/OPUS
OPUS: Occupancy Prediction Using a Sparse Set
This project helps autonomous vehicles understand their surroundings by predicting which parts of a 3D environment are occupied. It takes sparse input data from vehicle sensors and efficiently generates a detailed map of occupied spaces and their semantic classes. This tool is designed for autonomous driving engineers and researchers working on real-time environmental perception.
151 stars.
Use this if you need to predict the occupancy status of a 3D environment from sparse sensor data with high accuracy and computational efficiency for autonomous driving applications.
Not ideal if your application does not involve 3D environmental occupancy prediction or requires a different type of sensor input.
Stars
151
Forks
8
Language
Python
License
MIT
Category
Last pushed
Jan 05, 2026
Commits (30d)
0
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