Ziyan Zhou


  • SLAM Visualization for Player: Final Report

    Introduction
    This project is an attempt to implement a 3D visualization of simultaneous localization and mapping (SLAM) based on raw sensor data provided by the Player robotics framework.
    This project is useful for both research and application purposes. Visualization of SLAM in research can help robotists better debug their robots. It can also provide much more information [...]

  • SLAM Visualization for Player: Midquarter Update

    Midquarter Update
    What’s Been Done So Far
    The SLAM tutorial papers have been investigated. A cheap/fast version of SLAM has been developed that calculates the robot’s current position based on previous estimates and built probabilistic map using Markov-based localization. Basically, it evaluates a bunch of random points around the previous location and score each location candidate by [...]

  • SLAM Visualization for Player

    Project Proposal
    Summary
    This project is an attempt to implement a 3D visualization of simultaneous localization and mapping (SLAM) based on raw sensor data provided by the Player robotics framework.
    This project, once built, will be extremely useful for both research and application propurses. Visualization of SLAM in research can help robotists better debug their robots. It can [...]

TAG / RITCG2SLAM

TAGS / A CLOUD OF THEM

FRESH / LATEST POSTS

Feeds