Stars
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
Easy and simple ROS 2 package to detect 3d boxes from lidar point clouds using PointPillars model implemented in PyTorch.
Effectively Detecting Loop Closures using Point Cloud Density Maps
A project for 3D multi-object tracking
OpenMMLab's next-generation platform for general 3D object detection.
Full-python LiDAR SLAM using ICP and Scan Context
[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
The official PyTorch Implementation of RTM3D and KM3D for Monocular 3D Object Detection
This repository contains unofficial pytorch implementations for SMOKE, MonoCon, GUPNet, MonoFlex and IDMS
[TPAMI 2024] Fast-ACV: Fast Attention Concatenation Volume for Accurate and Real-time Stereo Matching
Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).
Open source implementation of CVPR 2020 "Video to Events: Recycling Video Dataset for Event Cameras"
OpenMMLab Detection Toolbox and Benchmark
A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.
PetaVision is a C++ library for designing and deploying large-scale neurally-inspired computational models.
Current state of supervised and unsupervised depth completion methods
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
Each chapter of this (mini-)book guides you in programming one important software component for automated driving.
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, ben…
Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)