KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
翻译 - 基于3D LiDAR点云的超快速，准确的3D对象检测（PyTorch实现）
Convert KITTI dataset to ROS bag file the easy way!
#计算机科学#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
#计算机科学#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)
#计算机科学#A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
#计算机科学#📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
翻译 - Mobile MobileNetV3的PyTorch实现，用于实时语义分段，具有最先进的性能
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)