GithubHelp home page GithubHelp logo

siyuanwu99 / acl-mapping-px4 Goto Github PK

View Code? Open in Web Editor NEW

This project forked from smoggy-p/acl-mapping-px4

1.0 0.0 0.0 17.8 MB

Make mapping module of mit-acl-faster works on ROS noetic

License: BSD 3-Clause "New" or "Revised" License

Shell 0.02% C++ 95.77% Python 2.44% CMake 1.77%

acl-mapping-px4's Introduction

Sliding Mapper

Blue is unknown space, and orange is occupied-known space:

UAV Ground Robot
IROS 2019: FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments IROS 2019: FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments

If you find the code of this mapper helpful, please consider citing these papers:

Efficient Trajectory Planning for High Speed Flight in Unknown Environments (ICRA 2019) (pdf, video)

@inproceedings{ryll2019efficient,
  title={Efficient Trajectory Planning for High Speed Flight in Unknown Environments},
  author={Ryll, Markus and Ware, John and Carter, John and Roy, Nick},
  booktitle={2019 International Conference on Robotics and Automation (ICRA)},
  pages={732--738},
  year={2019},
  organization={IEEE}
}

FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments (IROS 2019) (conference paper, journal paper, video)

@inproceedings{tordesillas2019faster,
  title={{FASTER}: Fast and Safe Trajectory Planner for Flights in Unknown Environments},
  author={Tordesillas, Jesus and Lopez, Brett T and How, Jonathan P},
  booktitle={2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2019},
  organization={IEEE}
}

Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments (ICRA 2019) (pdf, video)

@article{tordesillas2018real,
  title={Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments},
  author={Tordesillas, Jesus and Lopez, Brett T and Carter, John and Ware, John and How, Jonathan P},
  journal={arXiv preprint arXiv:1810.01035},
  year={2018}
}

Commands:

roslaunch global_mapper_ros global_mapper_node.launch

Credits:

This mapper was developed mainly by John Ware and John Carter (Robust Robotics Group, MIT), so all the credit goes to them.

Jesus Tordesillas (ACL-MIT) did some minor modifications afterwards (in the branch dev)

acl-mapping-px4's People

Contributors

smoggy-p avatar

Stargazers

YangPH avatar

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.