SST
Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).
Detect 3D objects in LiDAR data for autonomous driving using this series of implemented algorithms.
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Free · no card · unsubscribe anytimeCode for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).
SST has 883 stars on GitHub. It has been forked 106 times. SST is written mainly in Python. It has been in active development since 2021. SST is available under the Apache-2.0 license. Its main topics are 3d-object-detection, autonomous-driving, pytorch.
What is SST?
Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).
Is SST open source?
SST is an open-source project. It is released under the Apache-2.0 license.
Is SST free?
Yes. SST is free and open source — you can use, modify and self-host it.
What license does SST use?
SST is available under the Apache-2.0 license.
What language is SST written in?
SST is written mainly in Python.
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