AlexGeControl/Sensor-Fusion

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Created about 4 years ago
Updated almost 4 years ago

AlexGeControl/Sensor-Fusion

AlexGeControl

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Sensor Fusion for Localization & Mapping

Sensor Fusion for Localization & Mapping

Reference solution to 多传感器融合定位/Sensor Fusion, Cohort 20201010.

Overview

This repo aims to reproduce main functional components for Lidar-based sensor fusion for localization & mapping. All the implementations are based on ROS melodic in Ubuntu 18.04.

Ubuntu Environment Setup

Before getting started, make sure you have access to native Ubuntu 18.04 environment. If not, please follow this guide to install one on your local PC.

Get Docker Environment

This project uses Docker to create a reproducible environment for fast functional module & algorithm prototyping. Please follow this guide to enable the Docker environment on your local PC.

Development Workspace

Click this link to explore the workspace.

Keep Learning & Keep Coding

3D-Point-Cloud-Analytics

Portfolio for 3D Point Cloud Processing from www.shenlanxueyuan.com China

Sensor-Fusion-for-Localization-Courseware

Multi-sensor fusion for localization courseware, 深蓝学院, China

Motion-Planning-for-Mobile-Robots

Course Assignment Solutions for Motion Planning for Mobile Robots

Visual-Inertial-Odometry

Visual Inertial Odometry from www.shenlanxueyuan.com

Auto-Car-04-Planning-01-Trajectory-Planning-Robotics-Approach

Trajectory planning for highway situation with classic robotics approach.

Auto-Car-03-SLAM-00-Algorithms

Algorithm tutorial for visual SLAM

Multi-Sensor-Fusion-for-Perception

GNSS-INS-SIM-Extended

gnss-ins-sim extended for deterministic error simulation

Deep-Learning-Codebase

Codebase for fast prototyping of deep learning applications

Jupyter Notebook

Perception-for-Autonomous-Vehicles

Multi-sensor perception for autonomous vehicles

Coding-Interview-Prep

Repo for coding interview prep based on assignments from www.jiuzhang.com

3D-Point-Cloud-KITTI-Evaluation

KITTI evaluation toolkit for 3D Point Cloud Analytics

Auto-Car-02-Estimation-and-Control-04-PID-Steering-Control

Lane keeping through PID steering control

Emerging-Automotive-Technologies

Workspace for ChalmersX's Emerging Automotive Technologies MicroMaster from edX

Cloudera-Training-01-Hadoop-Administration

Hands on exercises from Hadoop Administration

Jupyter Notebook

Robotics-03-Perception-03-3D-Perception

3D perception for pick & place.

Image-Based-3D-Reconstruction

Reference solution to Image Based 3D Reconstruction, ShenLanXueYuan

Auto-Car-02-Estimation-and-Control-01-Extended-Kalman-Filter

Extended Kalman filter for radar & lidar sensor fusion.

MS-in-IOT-UMass-Amherest--ECE697-MIPS-Simulation

MIPS Simulation using CPP

Artificial-Intelligence-01-Graph-Search-02-Pacman

Graph search for UCB Pacman.

Auto-Car-01-Vision-03-Behavioral-Cloning

Behavioral cloning for end-to-end autonomous driving

Jupyter Notebook

Graph-Neural-Network

Sandbox for graph neural network learning.

Jupyter Notebook

Auto-Car-05-System-Integration-01-Udacity-Capstone

Udacity capstone project

Auto-Car-02-Estimation-and-Control-05-Model-Predictive-Control

Lane keeping through Model Predictive Control(MPC)

Auto-Car-02-Estimation-and-Control-02-Unscented-Kalman-Filter

Unscented Kalman filter for non-linear motion tracking.

ROS-Engineer

Workspace for ROS-Theory and Practice, 深蓝学院 and Robo Software Engineer, Udacity

Auto-Car-02-Estimation-and-Control-03-Particle-Filter-Localization

Localization through particle filter.

Artificial-Intelligence-01-Graph-Search-03-Random-Heuristics

Random search through simulated annealing & genetic algorithm.

Jupyter Notebook