LSS_reproduction

Contribution

Based on the LSS (Lift, Splat, Shoot) algorithm, an extension was made to simultaneously detect vehicles, vehicle-road interactions, lane lines, and segmentation parts of the road, resulting in slightly improved performance compared to what was reported in the paper.

基于LSS (Lift, Splat, Shoot)算法，增加了同时检测车辆、道路与车辆、车道线、道路的分割部分。并获得了比论文中提到的稍好的效果。为个人本科毕业设计。

Quikly start

git clone https://github.com/byx020119/LSS_reproduction.git

cd LSS_reproduction

python main.py viz_model_preds mini --modelf=MODEL_ROOT --dataroot=NUSCENES_ROOT --map_folder=MAP_FOLDER_ROOT  --outC=CLASS_NUMBER --gpuid=GPU_ID

annotations: outC=class number

default:

• outC=1:vehicle
• outC=2:vehicle and road
• outC=3:vehicle, divider and road

Demo

Citation

@inproceedings{philion2020lift,
    title={Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D},
    author={Jonah Philion and Sanja Fidler},
    booktitle={Proceedings of the European Conference on Computer Vision},
    year={2020},
}