ROS 2 Perception Node Accelerated Application
by: Xilinx, Inc
The ROS 2 Perception Node accelerated application implements a subset of image_pipeline, which is one of the most popular packages in the ROS 2 ecosystem and a core piece of the ROS perception stack. It creates a simple computational graph consisting of two hardware accelerated nodes, resize & rectify, and leverages KRS framework for tracing and benchmarking.
Features:
- ROS 2 Perception stack acceleration
- Provides tracing and benchmarking capabilities
- Uses Gazebo for camera simulation
- Supports variety of ROS 2 cameras as image source
Hardware Needed:
- Kria™ KR260 Robotics Starter Kit
- Ethernet cable
- Update to Ubuntu 22.04 Workstation
- ROS 2 Camera module (optional)
Additional Tools and Resources
Frequently Asked Questions
No, the app does not require any experience in FPGA design.
This app is free of charge from AMD.
No, it is not mandatory to use a real camera for this application. This application by default uses Gazebo for camera simulation. Though it supports various ROS 2 cameras, using a real camera is optional.
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