Python package for the evaluation of odometry and SLAM

SECOND for KITTI/NuScenes object detection

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

World's first general purpose 3D object detection codebse.

Pytorch version of SfmLearner from Tinghui Zhou et al.

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)

Convert KITTI dataset to ROS bag file the easy way!

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

[CVPR 2021] Self-supervised depth estimation from short sequences

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]

AAAI2023，implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving", the experimental results are significantly better than Nerf-based methods

Current state of supervised and unsupervised depth completion methods

3D detection and tracking viewer (visualization) for kitti & waymo dataset

Tutorial for using Kitti dataset easily

🔥3D-MOT(点云多目标检测和追踪C++) （2020 · 秋） 代码有详细注解

Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask

A project for 3D multi-object tracking

Visualising LIDAR data from KITTI dataset.