Главная
Study mode:
on
1
Intro
2
Quick VIO Position Hold Demo
3
Building the MAVLink Cable
4
Building the MAVLink Cable
5
Top Down View of VIO Drone
6
Powering Jetson Nano from Drone
7
3D Printed Jetson Nano Mounts
8
3D Printed T265 Mount
9
Burning Jetson Nano Image
10
Auterion VIO Code
11
VIO Gist Shortcut
12
ROS Melodic and Dependency Installation
13
Install librealsense
14
Install Python Catkin Tools
15
QGroundControl Wireless Configuration
16
Verify MAVLink Data Comms
17
Review MAVROS Launch Files
18
PX4 EKF2 Params for VIO
19
Launching VIO
20
Begin VIO Flight Test
21
VIO Altitude Flight Mode
22
VIO Position Flight Mode
23
VIO Yawing
24
Conclusion
Description:
Learn how to set up Visual Inertial Odometry (VIO) on a Pixhawk-based drone using a Jetson Nano and Intel T265 Realsense camera for indoor vision positioning. Follow this comprehensive 29-minute tutorial that covers hardware assembly, software installation, and configuration. Build a MAVLink cable, mount the Jetson Nano and T265 camera, install necessary software including ROS Melodic and dependencies, and configure QGroundControl for wireless communication. Explore PX4 EKF2 parameters for VIO and witness a live flight test demonstrating VIO altitude and position modes. Access provided resources, including a simplified software installation guide, 3D printing files for mounts, and links to relevant GitHub repositories.

PX4 VIO Setup with Jetson Nano and Intel T265 - Auterion VIO Fork

Dennis Baldwin
Add to list
0:00 / 0:00