- 2023.05.07 Improve the occpancy baseline by enlarging the input size and using long-term temporal fusion.
- 2023.04.28 Support task of occupancy prediction .
- 2023.04.27 Equip BEVDet with stereo depth estimation.
- 2023.04.10 Use single head for multi-class prediction.
- 2023.01.12 Support TensorRT-INT8.
- 2022.11.24 A new branch of bevdet codebase, dubbed dev2.0, is released. dev2.0 includes the following features:
- support BEVPoolv2, whose inference speed is up to 15.1 times the previous fastest implementation of Lift-Splat-Shoot view transformer. It is also far less memory consumption.
- use the origin of ego coordinate system as the center of the receptive field instead of the Lidar's.
- support conversion of BEVDet from pytorch to TensorRT.
- use the long term temporal fusion as SOLOFusion.
- train models with ema and without CBGS by default.
- use key frame for temporal fusion.
- 2022.08.26 A blog in chinese for code explanation. BEVDet系列源码解读
- 2022.08.15 Support FP16 training for BEVDet series that with image view backbone type of ResNet.
- 2022.07.29 Support BEVDepth.
- 2022.07.26 Add configs and pretrained models of bevdet-r50 and bevdet4d-r50.
- 2022.07.13 Support bev-pool proposed in BEVFusion, which will speed up the training process of bevdet-tiny by +25%.
- 2022.07.08 Support visualization remotely! Please refer to Get Started for usage.
- 2022.06.29 Support acceleration of the Lift-Splat-Shoot view transformer! Please refer to [Technical Report] for detailed introduction and Get Started for testing BEVDet with acceleration.
- 2022.06.01 We release the code and models of both BEVDet and BEVDet4D!
- 2022.04.01 We propose BEVDet4D to lift the scalable BEVDet paradigm from the spatial-only 3D space to the spatial-temporal 4D space. Technical report is released on arixv. [BEVDet4D].
- 2022.04.01 We upgrade the BEVDet paradigm with some modifications to improve its performance and inference speed. Thchnical report of BEVDet has been updated. [BEVDetv1].
- 2021.12.23 BEVDet is now on arxiv. [BEVDet].