There are 33 repositories under kitti-dataset topic.
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)
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.
3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)
[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors
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)
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
Visualising LIDAR data from KITTI dataset.
Convert between visual object detection datasets
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)
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
Efficient monocular visual odometry for ground vehicles on ARM processors
Build a CNN network to predict 3D bounding box of car from 2D image.
[CVPR 2021] Monocular depth estimation using wavelets for efficiency
[IROS2025]This is the offical implementation of the paper "MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving"
YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10
Monocular multi-object tracking using simple and complementary 3D and 2D cues (ICRA 2018)
Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud
[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.
A toolkit for Waymo Open Dataset <-> KITTI conversions
Easy description to run and evaluate Lego-LOAM with KITTI-data
3d bounding box estimation from monocular image based on 2d bounding box
PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]