GithubHelp home page GithubHelp logo

yashsriram / drive Goto Github PK

View Code? Open in Web Editor NEW
3.0 1.0 0.0 9.78 MB

Real-time algorithms for following a given path while avoiding initially unknown static obstacles.

Home Page: https://yashsriram.github.io/drive

License: MIT License

CMake 3.41% C++ 93.09% HTML 3.50%
rrt-star visibility-graph configuration-space a-star path-planning differential-drive bicycle-model real-time ros rviz intersections

drive's Introduction

drive

code

  • The project is a typical ROS project.
  • src/ contains all source code.

usage

  • Open a terminal at project root (the directory containing this file).
  • roscore
  • rviz
  • source devel/setup.bash
  • catkin_make && rosrun plan plan_node

demonstration

  • Common legend
Object Description
White circle Agent's circumcircle
Black line on agent Agent's orientation
Yellow path Given path
Corresponding pink paths Padding obstacles in configuration space
Faint green circle around agent Sensing region
Inner pink rectangles Physical obstacle bounding boxes
Outer pink obstacles Configuration space obstacle bounding boxes
Green path Output path
Red circle Local target position of agent after path optimization
  • RRT* legend
Object Description
Cyan rectangle Sampling region
White tree The RRT* tree
  • Visibility graph legend
Object Description
White lines Visibility graph
  • Straight path with 2 points.
RRT* Visibility graph
  • Straight path with 3 points.
RRT* Visibility graph
  • Straigh path with 5 points.
RRT* Visibility graph
  • Perpendicular turn with 3 points.
RRT* Visibility graph
  • Perpendicular turn with 5 points.
RRT* Visibility graph
  • Obstacles.
RRT* Visibility graph
  • Obstacles over points on given path.
RRT* Visibility graph
  • Complete block.
RRT* Visibility graph
  • Small passage.
RRT* Visibility graph
  • Shielding final point.
RRT* Visibility graph
  • Arc.
RRT* Visibility graph
  • Arbitrary path (top down view).
RRT* Visibility graph
  • Arbitrary path (side view).

  • RRT* planning frequency vs number of sensed obstacles.

  • Visibility graph planning frequency vs number of sensed obstacles.

  • RRT* planning frequency vs number of sampled nodes.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.