XijunKe's repositories
argoverse-api
Official GitHub repository for Argoverse dataset
BEVDet
Official code base of the BEVDet series .
BEVPerception-Survey-Recipe
Awesome BEV perception papers and cookbook for achieving SOTA results
cartographer
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
CenterPoint
3D检测与跟踪
Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
End-to-end-Autonomous-Driving
All you need for End-to-end Autonomous Driving
Lanelet2
Map handling framework for automated driving
maptracker
Code for paper "MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping"
MapUncertaintyPrediction
[CVPR 2024 Oral] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
neural_map_prior
The official implementation of the CVPR2023 paper titled “Neural Map Prior for Autonomous Driving”.
nuscenes-devkit
The devkit of the nuScenes dataset.
OccNet
[ICCV 2023] OccNet: Scene as Occupancy
OpenLane-V2
[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving
OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
OpenScene
3D Occupancy Prediction Benchmark in Autonomous Driving
OverlapPredator
[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
sparse-gslam
Code for paper Efficient 2D Graph SLAM for Sparse Sensing
SparseOcc
Fully Sparse 3D Occupancy Prediction & RayIoU Evaluation Metric
SuMa
Surfel-based Mapping for 3d Laser Range Data (SuMa)
ThinkTwice
[CVPR 2023] Pytorch implementation of ThinkTwice, a SOTA Decoder for End-to-end Autonomous Driving under BEV.
transfuser
[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
ViDAR
[CVPR 2024 Highlight] Visual Point Cloud Forecasting