Popular GitHub Repositories for Kitti Dataset

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

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

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)

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

Convert between visual object detection datasets

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

This is the offical implementation of the paper "MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving"

Hierarchical Attentive Recurrent Tracking

3d bounding box estimation from monocular image based on 2d bounding box

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

Reproduction of the CVPR 2020 paper - Self-supervised monocular trained depth estimation using self-attention and discrete disparity volume

PyTorch Lightning based training of Semantic Segmentation models

Caffe implementation for "Guided Optical Flow Learning"

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

TensorFlow implementation for "Guided Optical Flow Learning"

Unofficial PyTorch Implementation of PIXOR: Real-time 3D Object Detection from Point Clouds

A course project for road segmentation using a U-Net Convolutional Neural Network on the KITTI ROAD 2013 dataset