Python tools for working with KITTI data.

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

Convert KITTI dataset to ROS bag file the easy way!

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.

Surfel-based Mapping for 3d Laser Range Data (SuMa)

3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.

Tutorial for using Kitti dataset easily

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

Single Image Depth Estimation with Feature Pyramid Network

Convert between visual object detection datasets

Visualising LIDAR data from KITTI dataset.

Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

KITTI data processing and 3D CNN for Vehicle Detection

This repository is an open-source PointPainting package which is easy to understand, deploy and run!

Official implementation of the paper: Behind the Scenes: Density Fields for Single View Reconstruction (CVPR 2023)