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Beijing Jiaotong University
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[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
A visual-inertial SLAM framework integrated deep learning features
pySLAM contains a Visual Odometry (VO) pipeline in Python for monocular, stereo and RGBD cameras. It supports many modern local features based on Deep Learning.
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Code for the paper "Low Latency Automotive Vision with Event Cameras", published in Nature
[ICCV 2019] Monocular depth estimation from a single image
Python tools for working with KITTI data.
DINO-Mix: Enhancing Visual Place Recognition with Foundational Vision Model and Feature Mixing
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing
A python version of the KF-GINS
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Google Smartphone Decimeter Challenge 2022: Using machine learning (ML) based adaptive positioning approach to estimate the positions of the smartphone.
GNSS/INS/Camera Integrated Navigation Library
我的导航学习笔记,内容涵盖导航定位开源程序的源码解读 ( 包括:RTKLIB、GAMP、GINav、Ginan、PSINS、SoftGNSS、KF-GINS、GICI-Lib 等)、开源项目梳理、书籍讲义、博客翻译、教程讲座推荐;本仓库会长期更新,分享出来,既是跟大家做个交流,也激励着自己坚持学下去;所有内容都可以随意转载,原始文件都放在这了,欢迎在我的基础上整理出自己的一套笔记。
Python package for the evaluation of odometry and SLAM
This repository contains the codebase and all the relevant information for our IJCV paper on VPR-Bench: An open-source Visual Place Recognition Evaluation Framework
This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.
[CVPR 2024 Highlight] Map-Relative Pose Regression for Visual Re-Localization
Mapillary Street-level Sequences Dataset
Official repository for the CVPR 2024 paper "CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition".
A light and fast implementation of hloc with TensorRT