GitZhaoo

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

ChatPaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

LVI-SAM

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

FAST-LIVO

A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).

limap

A toolbox for mapping and localization with line features.

OccNet

[ICCV 2023] OccNet: Scene as Occupancy

Awesome_Dynamic_SLAM

Dynamic SLAM, Life-long SLAM Research(Lidar, Visual, Sensor Fusion etc.)

ChatPaper2Xmind

论文XMind笔记生成工具，将论文pdf通过ChatGPT转换为带有图片和公式的简要XMind笔记，提高论文阅读效率。

dynablox

Real-time detection of diverse dynamic objects in complex environments.

awesome-state-of-depth-completion

Current state of supervised and unsupervised depth completion methods

MINS

An efficient and robust multisensor-aided inertial navigation system with online calibration that is capable of fusing IMU, camera, LiDAR, GPS/GNSS, and wheel sensors. Use cases: VINS/VIO, GPS-INS, LINS/LIO, multi-sensor fusion for localization and mapping (SLAM). This repository also provides multi-sensor simulation and data.

Point-SLAM

Point-SLAM: Dense Neural Point Cloud-based SLAM

self-driving-ish_computer_vision_system

This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT

OccNet-Course

国内首个占据栅格网络全栈课程《从BEV到Occupancy Network，算法原理与工程实践》，包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页：http://111.229.117.200:8100/ (作者独立搭建)

DiffusionDepth

PyTorch Implementation of introducing diffusion approach to 3D depth perception

OccDepth

Maybe the first academic open work on stereo 3D SSC method with vision-only input.

pop_up_slam

Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments

Remove_ROS_VINS

remove ROS from VINS

SG-SLAM

SG-SLAM: A Real-Time RGB-D Visual SLAM toward Dynamic Scenes with Semantic and Geometric Information

P3Depth

SP-SLAM

Point-Plane SLAM Using Supposed Planes for Indoor Environments

3D_Ground_Segmentation

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

avm-slam

A semantic visual SLAM with multi-sensor fusion in a bird’s eye view for automated valet parking

ov_maplab

Interface for OpenVINS with the maplab project

D-GLSNet

The code of Geo-localization with Transformer-based 2D-3D match Network

open_vins_mot

OpenVINS with Moving Object Tracking

MyG2O

This is an math lib for factor graph Bundle Adjustment, including point-, line-, plane- reprojection factors etc.

PEAC

Source code for 2014 ICRA paper "Fast Plane Extraction in Organized Point Clouds Using Agglomerative Hierarchical Clustering"

AVP-SLAM-PLUS-PLUS

An implementation of AVP-SLAM with loop closure and graph optimization.