The Robotic Perception Group is part of the Australian Center For Robotics (ACFR) within the University of Sydney.
The group focuses on researching robust solutions to sensing, estimation, mapping and planning in dynamic environments. For more information on the research we and the ACFR do, see our website.
Offical code release for DynoSAM: Dynamic Object Smoothing And Mapping [Submitted TRO Visual SLAM SI]. A visual SLAM framework and pipeline for Dynamic environements, estimating for the motion/pose of objects and their structure, as well as the camera odometry and static map.
Quick-start guides, helper code, tips and tricks for use in MTRX5700 @ The University of Sydney. Copyright.
This repository provides a workflow for 3D reconstruction using TagSLAM and Metashape, integrating AprilTag-based SLAM for accurate camera pose estimation.
Code release for "The Importance of Coordinate Frames in Dynamic SLAM", ICRA 2024
ROS driver for DJI/Ryze Tello drones - updated for Noetic/Python3 for MTRX5700
This organization has no public members. You must be a member to see who’s a part of this organization.
Loading…
Loading…
