549 skills found · Page 1 of 19
MichaelGrupp / EvoPython package for the evaluation of odometry and SLAM
xinshuoweng / AB3DMOT(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
traveller59 / Second.pytorchSECOND for KITTI/NuScenes object detection
V2AI / Det3DWorld's first general purpose 3D object detection codebse.
utiasSTARS / PykittiPython tools for working with KITTI data.
kuixu / Kitti Object VisKITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
ClementPinard / SfmLearner PytorchPytorch version of SfmLearner from Tinghui Zhou et al.
eric-yyjau / Pytorch SuperpointSuperpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
MarvinTeichmann / KittiSegA Kitti Road Segmentation model implemented in tensorflow.
PRBonn / Semantic Kitti ApiSemanticKITTI API for visualizing dataset, processing data, and evaluating results.
zhulf0804 / PointPillarsA Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.
tomas789 / Kitti2bagConvert KITTI dataset to ROS bag file the easy way!
JiawangBian / SC SfMLearner ReleaseUnsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
mit-han-lab / Pvcnn[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
nianticlabs / Manydepth[CVPR 2021] Self-supervised depth estimation from short sequences
hailanyi / 3D Detection Tracking Viewer3D detection and tracking viewer (visualization) for kitti & waymo dataset
wvangansbeke / Sparse Depth CompletionPredict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]
alexklwong / Awesome State Of Depth CompletionCurrent state of supervised and unsupervised depth completion methods
HuangCongQing / 3D LIDAR Multi Object Tracking🔥3D-MOT(点云多目标检测和追踪C++) （2020 · 秋） 代码有详细注解
JOP-Lee / READAAAI2023，implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving", the experimental results are significantly better than Nerf-based methods
