ai4ce/Occ4cast
Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting
This project helps autonomous vehicles understand their surroundings by taking sparse LiDAR sensor data and reconstructing a complete 3D picture of the environment, then predicting how that environment will change over time. It transforms limited sensor readings into a full, evolving 4D model of road occupancy. Autonomous driving engineers and researchers would use this to improve perception systems.
156 stars. No commits in the last 6 months.
Use this if you need to generate a dense, time-series prediction of all objects and spaces around an autonomous vehicle from incomplete LiDAR scans.
Not ideal if you are working with other sensor types (like cameras) or if your application doesn't require predicting future scene occupancy.
Stars
156
Forks
13
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 08, 2024
Commits (30d)
0
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