Using a Intel Realsense T265 to build an occupancy grid and autonomously navigate around using move_base
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Updated
May 17, 2021 - C++
Using a Intel Realsense T265 to build an occupancy grid and autonomously navigate around using move_base
Simple implementation of positional tracking for Oculus Go
This project provides a feasible framework for the stereo camera positioning and autonomous flight of the Z410B UAV
Python code to evaluate Intel RealSense T265 tracking camera.
ROS node, use launch file to start the node with odometry input
Realsense module Based on Apollo Cyber RT
a ros node to publish depth from stereo block matching using the Realsense T265 Tracking Camera
Genom3 component used to get pose and images asynchronously from Intel RealSense T265 sensor. Pose is published at 200Hz. Processing on images can be enabled to detect AprilTags and output the desired parameters (corners, center, pose, message,...)
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