Pinned Repositories
docu
some papers
hdl_localization
Real-time 3D localization using a (velodyne) 3D LIDAR
Map-based-Visual-Localization
A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.
micro-gps-cpp
Implementation of the paper "High-Precision Localization Using Ground Texture"
msckf_vio
Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight
PID-Control-For-Autonomous-Driving
PID controller in C++ to maneuver a vehicle around the track.
pix2pix-tensorflow
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
RoadLib
A lightweight library for instance-level visual road marking extraction, parameterization, mapping, etc.
rovio-standalone
This is the interface-modified rovio version which could be built without ROS.
StVO-PL
Stereo Visual Odometry by combining point and line segment features
zhangaigh's Repositories
zhangaigh/RoadLib
A lightweight library for instance-level visual road marking extraction, parameterization, mapping, etc.
zhangaigh/awesome-knowledge-driven-AD
A curated list of awesome knowledge-driven autonomous driving (continually updated)
zhangaigh/BEV-Planner
zhangaigh/direct_lidar_inertial_odometry
[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.
zhangaigh/Driving-with-LLMs
PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"
zhangaigh/dsol
DSOL: Direct Sparse Odometry Lite
zhangaigh/DynamicMap_Benchmark
[ITSC'23] Dynamic map benchmark, open-sourced all the methods and datasets in the paper.
zhangaigh/FAST_LIO_MULTI
Multi-LiDAR version of FAST-LIO2: A computationally efficient and robust LiDAR-inertial odometry (LIO) package
zhangaigh/glim
GLIM: versatile and extensible range-based 3D localization and mapping framework
zhangaigh/GPT4V-AD-Exploration
On the Road with GPT-4V(ision): Explorations of Utilizing Visual-Language Model as Autonomous Driving Agent
zhangaigh/Hough2Map
Iterative Event-based Hough Transform for High-Speed Railway Mapping
zhangaigh/i-octree
[ICRA2024] Implementation of A Fast, Lightweight, and Dynamic Octree for Proximity Search
zhangaigh/jackson_job_shop_scheduling
PyJackson:Implementation of a mathematical model in Python to solve an assignment problem in Job Shop environments. With its respective Gantt chart.
zhangaigh/Lie-plusplus
A C++ header-only Eigen-based Library for Lie group operations
zhangaigh/LMTrajectory
Official Code for "Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction (CVPR 2024)"
zhangaigh/MapClosures
Effectively Detecting Loop Closures using Point Cloud Density Maps
zhangaigh/MDPCalib
Automatic Target-Less Camera-LiDAR Calibration from Motion and Deep Point Correspondences
zhangaigh/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.
zhangaigh/Monlanemapping_C_version
zhangaigh/MonoLaneMapping
Online Monocular Lane Mapping Using Catmull-Rom Spline (IROS 2023)
zhangaigh/MultiSlam_DiffPose
zhangaigh/optaplanner
Midstream of https://github.com/apache/incubator-kie-optaplanner
zhangaigh/patchwork-plusplus-ros
ROS & ROS2 Implementation of Patchwork++
zhangaigh/pointcloud_compression
zhangaigh/RL-Job-Shop-Scheduling
Reinforcement learning approach for job shop scheduling
zhangaigh/SLAM-BOOK
这是一本关于SLAM的书稿,希望能清楚的介绍SLAM系统中的使用的几何方法和深度学习方法。书稿最后应该会达到200页左右,书稿每章对应的代码也会被整理出来。
zhangaigh/TEASER-plusplus
A fast and robust point cloud registration library
zhangaigh/TopoLogic
An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes
zhangaigh/wavemap
Fast, efficient and accurate multi-resolution, multi-sensor 3D occupancy mapping
zhangaigh/wheatley
Next-generation scheduling problem solver based on GNNs and Reinforcement Learning