Git Product home page Git Product logo

Comments (3)

kennyjchen avatar kennyjchen commented on July 17, 2024

Hi @danieldive -- thanks for your interest in our work. We use ROS convention (forward left up) as our coordinate system, as defined in REP 103 here: https://www.ros.org/reps/rep-0103.html#coordinate-frame-conventions

The output odometry is relative to the starting location, which is what we define as the origin. I may need more information on your specific setup, but it sounds like a transformation between the ROS convention and your desired coordinate system is needed, as you mentioned.

Let me know if that helps.

from direct_lidar_odometry.

danieldive avatar danieldive commented on July 17, 2024

Thank you @kennyjchen Sorry to resuscitate ! In which coordinate frame do you provide your FRD odometry to autopilot. I assume you've used px4 as a autopilot so did you enable external vision rotation to able to take off drone ? It seems that autopilot needs odometry in NED coordinate frame although px4 do FRD to NED transformation by choosing rotation external vision at the parameter section, do you have any other transformation in another module except in slam and autopilot software. I saw no drift your flight video but in reality especially when the slam algorithm exploring new places ( like when you pass an edge ) drift is beginning.

from direct_lidar_odometry.

kennyjchen avatar kennyjchen commented on July 17, 2024

Hi @danieldive -- we have a custom autopilot solution and use NWU, so we don't apply a transformation between odometry and our autopilot. It sounds like if another coordinate frame is needed, you can apply a transformation upstream of the autopilot. Alternatively, you could also try transforming the raw point cloud data (which is usually in ROS convention) into FRD to get the odometry into NED for your PX4.

from direct_lidar_odometry.

Related Issues (20)

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.