Autonomous Ground Vehicle Navigation and Control Simulation Examples in Python

Overview

Autonomous Ground Vehicle Navigation and Control Simulation Examples in Python

THIS PROJECT IS CURRENTLY A WORK IN PROGRESS AND THUS THIS REPOSITORY IS INCOMPLETE

This is a repository of introductory autonomous ground vehicle (i.e., wheeled mobile robot) simulation examples in Python. The purpose of these examples is to provide easy-to-follow code that is illustrative of a number of fundamental mobile robot modelling, control, and navigation (localization, mapping) concepts. Motion planning problems lie beyond the scope of this example set. The focus here is on ground vehicles, although the presented techniques are also applicable more broadly. This code was initially developed to supplement topics covered in the course ELEC 845 Autonomous Vehicle Control & Navigation in the Department of Electrical & Computer Engineering at Queen's University.

MoBotPy Package

The repository also includes a supporting Python package MoBotPy (mobotpy) that contains some code that is used repeatedly. Code developed in the worked examples is subsequently added to MoBotPy.

Module Filename Description
integration.py Provides basic Runge-Kutta and Euler integration functions.
models.py Provides standard vehicle models, plotting, and animation methods.
graphics.py Provides some basic shape plotting functions (used by models.py).

Tables of Examples in this Repository

This section provides a list of the examples in this repository.

Introductory Linear System Examples

These examples provide a review of basic concepts from control systems engineering in preparation for more advanced methods.

Filename Description
oneD_kinematic.py Simulation of a linear 1D kinematic vehicle.
oneD_dynamic.py Simulation of a linear 1D dynamic vehicle.
oneD_kinematic_control.py Point stabilization of a linear 1D kinematic vehicle.
oneD_dynamic_control.py Point stabilization of a linear 1D dynamic vehicle.
oneD_discrete_control.py Point stabilization of a linear 1D dynamic vehicle in discrete time.
oneD_integral_control.py Example illustrating integral action for disturbance rejection.
oneD_dynamic_observer.py State estimation for a linear 1D dynamic vehicle.
oneD_combined_control.py Example illustrating control combined with a state estimator.

Vehicle Modelling Examples

These examples provide simple models for a variety of commonly used wheeled vehicles.

Filename Description
diffdrive_kinematic.py Simulation of a differential drive vehicle's kinematics.
tricycle_kinematic.py Simulation of a tricycle vehicle's kinematics.
ackermann_kinematic.py Simulation of an Ackermann steered (car-like) vehicle's kinematics.

Cite this Work

You may wish to cite this work in your publications.

Joshua A. Marshall, Autonomous Ground Vehicle Navigation and Control Simulation Examples in Python, 2021, URL: https://github.com/botprof/agv-examples.

You might also use the BibTeX entry below.

@misc{Marshall2021,
  author = {Marshall, Joshua A.},
  title = {Autonomous Ground Vehicle Navigation and Control Simulation Examples in Python},
  year = {2021},
  howpublished = {\url{https://github.com/botprof/agv-examples}}
}

Contact the Author

Joshua A. Marshall, PhD, PEng
Department of Electrical & Computer Engineering
Queen's University
Kingston, ON K7L 3N6 Canada
+1 (613) 533-2921
[email protected]

License

Source code examples in this notebook are subject to an MIT License.

You might also like...
ObjectDrawer-ToolBox: a graphical image annotation tool to generate ground plane masks for a 3D object reconstruction system
ObjectDrawer-ToolBox: a graphical image annotation tool to generate ground plane masks for a 3D object reconstruction system

ObjectDrawer-ToolBox is a graphical image annotation tool to generate ground plane masks for a 3D object reconstruction system, Object Drawer.

UAV-Networks-Routing is a Python simulator for experimenting routing algorithms and mac protocols on unmanned aerial vehicle networks.

UAV-Networks Simulator - Autonomous Networking - A.A. 20/21 UAV-Networks-Routing is a Python simulator for experimenting routing algorithms and mac pr

Episodic Transformer (E.T.) is a novel attention-based architecture for vision-and-language navigation. E.T. is based on a multimodal transformer that encodes language inputs and the full episode history of visual observations and actions.
Vehicle speed detection with python

Vehicle-speed-detection In the project simulate the tracker.py first then simulate the SpeedDetector.py. Finally, a new window pops up and the output

 Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences
Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences

Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences 1. Introduction This project is for paper Model-free Vehicle Tracking and St

Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))
Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))

Aerial Imagery dataset for fire detection: classification and segmentation using Unmanned Aerial Vehicle (UAV) Title FLAME (Fire Luminosity Airborne-b

Vehicle Detection Using Deep Learning and YOLO Algorithm
Vehicle Detection Using Deep Learning and YOLO Algorithm

VehicleDetection Vehicle Detection Using Deep Learning and YOLO Algorithm Dataset take or find vehicle images for create a special dataset for fine-tu

Vehicle direction identification consists of three module detection , tracking and direction recognization.

Vehicle-direction-identification Vehicle direction identification consists of three module detection , tracking and direction recognization. Algorithm

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

A Light and Fast Face Detector for Edge Devices Big News: LFD, which is a big update of LFFD, now is released (2021.03.09). It is strongly recommended

Releases(v0.4.2)
Owner
Joshua Marshall
Professor and engineering scientist in field and mobile robotics.
Joshua Marshall
Py-FEAT: Python Facial Expression Analysis Toolbox

Py-FEAT is a suite for facial expressions (FEX) research written in Python. This package includes tools to detect faces, extract emotional facial expressions (e.g., happiness, sadness, anger), facial

Computational Social Affective Neuroscience Laboratory 147 Jan 06, 2023
Contrastive Loss Gradient Attack (CLGA)

Contrastive Loss Gradient Attack (CLGA) Official implementation of Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation, WWW22 Bu

12 Dec 23, 2022
The MLOps platform for innovators 🚀

​ DS2.ai is an integrated AI operation solution that supports all stages from custom AI development to deployment. It is an AI-specialized platform service that collects data, builds a training datas

9 Jan 03, 2023
Code for paper: Towards Tokenized Human Dynamics Representation

Video Tokneization Codebase for video tokenization, based on our paper Towards Tokenized Human Dynamics Representation. Prerequisites (tested under Py

Kenneth Li 20 May 31, 2022
Meaningful titles for tabs and PDF downloads! Also supports tab search.

arxiv-utils If you are a researcher that reads a lot on ArXiv, you'll benefit a lot from this web extension. Renames the title of PDF page to the pape

Johnson 174 Dec 20, 2022
A multi-mode modulator for multi-domain few-shot classification (ICCV)

A multi-mode modulator for multi-domain few-shot classification (ICCV)

Yanbin Liu 8 Apr 28, 2022
This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".

A Memory-saving Training Framework for Transformers This is the official PyTorch implementation for Mesa: A Memory-saving Training Framework for Trans

Zhuang AI Group 105 Dec 06, 2022
This is a simple backtesting framework to help you test your crypto currency trading. It includes a way to download and store historical crypto data and to execute a trading strategy.

You can use this simple crypto backtesting script to ensure your trading strategy is successful Minimal setup required and works well with static TP a

Andrei 154 Sep 12, 2022
This repository contains the implementation of the following paper: Cross-Descriptor Visual Localization and Mapping

Cross-Descriptor Visual Localization and Mapping This repository contains the implementation of the following paper: "Cross-Descriptor Visual Localiza

Mihai Dusmanu 81 Oct 06, 2022
Buffon’s needle: one of the oldest problems in geometric probability

Buffon-s-Needle Buffon’s needle is one of the oldest problems in geometric proba

3 Feb 18, 2022
Probabilistic Gradient Boosting Machines

PGBM Probabilistic Gradient Boosting Machines (PGBM) is a probabilistic gradient boosting framework in Python based on PyTorch/Numba, developed by Air

Olivier Sprangers 112 Dec 28, 2022
A large dataset of 100k Google Satellite and matching Map images, resembling pix2pix's Google Maps dataset.

Larger Google Sat2Map dataset This dataset extends the aerial ⟷ Maps dataset used in pix2pix (Isola et al., CVPR17). The provide script download_sat2m

34 Dec 28, 2022
Contrastive Learning Inverts the Data Generating Process

Official code to reproduce the results and data presented in the paper Contrastive Learning Inverts the Data Generating Process.

71 Nov 25, 2022
[ICCV'2021] Image Inpainting via Conditional Texture and Structure Dual Generation

[ICCV'2021] Image Inpainting via Conditional Texture and Structure Dual Generation

Xiefan Guo 122 Dec 11, 2022
Implementation of OpenAI paper with Simple Noise Scale on Fastai V2

README Implementation of OpenAI paper "An Empirical Model of Large-Batch Training" for Fastai V2. The code is based on the batch size finder implement

13 Dec 10, 2021
Pointer networks Tensorflow2

Pointer networks Tensorflow2 原文:https://arxiv.org/abs/1506.03134 仅供参考与学习,内含代码备注 环境 tensorflow==2.6.0 tqdm matplotlib numpy 《pointer networks》阅读笔记 应用场景

HUANG HAO 7 Oct 27, 2022
Face Synthetics dataset is a collection of diverse synthetic face images with ground truth labels.

The Face Synthetics dataset Face Synthetics dataset is a collection of diverse synthetic face images with ground truth labels. It was introduced in ou

Microsoft 608 Jan 02, 2023
A TensorFlow implementation of FCN-8s

FCN-8s implementation in TensorFlow Contents Overview Examples and demo video Dependencies How to use it Download pre-trained VGG-16 Overview This is

Pierluigi Ferrari 50 Aug 08, 2022
nfelo: a power ranking, prediction, and betting model for the NFL

nfelo nfelo is a power ranking, prediction, and betting model for the NFL. Nfelo take's 538's Elo framework and further adapts it for the NFL, hence t

6 Nov 22, 2022
Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion" (NeurIPS 2021)

Density-aware Chamfer Distance This repository contains the official PyTorch implementation of our paper: Density-aware Chamfer Distance as a Comprehe

Tong WU 93 Dec 15, 2022