Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
-
Updated
Sep 17, 2023 - Python
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!
Python tools for working with KITTI data.
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
Surfel-based Mapping for 3d Laser Range Data (SuMa)
A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.
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)
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
KITTI data processing and 3D CNN for Vehicle Detection
Tutorial for using Kitti dataset easily
[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors
Convert between visual object detection datasets
Visualising LIDAR data from KITTI dataset.
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
Single Image Depth Estimation with Feature Pyramid Network
3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)
Efficient monocular visual odometry for ground vehicles on ARM processors
Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)
Build a CNN network to predict 3D bounding box of car from 2D image.
Add a description, image, and links to the kitti-dataset topic page so that developers can more easily learn about it.
To associate your repository with the kitti-dataset topic, visit your repo's landing page and select "manage topics."