How to use this Arducam Stereo Camera Package for ROS?
In the video:
In the documentations:
Using Arducam Camarray on ROS
Depth Mapping with ROS and Jetson Nano 1.Install Driver Please refer to this page to follow the driver installation. Follow this tutorial to install ROS: Installation 3.Create ROS Workspace Follow this tutorial to create a ROS workspace: Create a ROS Workspace 4.Dependent Installation 5.Install arducam_stereo_camera package Copy the arducam_stereo_camera folder to the src folder of the ROS […]
Why are we releasing this ROS package?
What is ROS?
The Robot Operating System (ROS) is a set of software libraries and tools that help you build robot applications. From drivers to state-of-the-art algorithms, and with powerful developer tools, ROS has what you need for your next robotics project. And it’s all open source.
ROS used on Raspberry Pi and Jetson Platforms
ROS + Raspberry Pi is such a powerful combination to create smart robots, with a somehow low cost, and very small electronic board embedded in the robot.The Jetson Nano is designed for autonomous machines, it is a tiny, low power and affordable platform with a high level of computing power allowing to perform real time computer vision and mobile-level deep learning operations on the edge.
Arducam Stereo Camera Solution and ROS
The solution to the stereo camera – Arducam Camarray
Camarray is the 2nd generation of Arducam multi-camera solution which aggregates multiple camera inputs into a side-by-side style image output.The Camarray solution allows you to connect up to 4 MIPI cameras over a single MIPI CSI-2 interface, using I2C broadcasting and oscillator sharing, the output image is fully synchronized.
What are the Arducam Camarray products that can be used with this package?
The Camarray solution comes with 3 different styles: the stereo camera module, the stereo camera HAT and the Quad camera HAT.
1. Stereo Camera Module
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[Discontinued] Arducam 2MP*2 Stereo Camera for Raspberry Pi, Nvidia Jetson Nano/Xavier NX, Dual OV2311 Monochrome Global Shutter Camera Module
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[Discontinued] Arducam 1MP*2 Stereo Camera for Raspberry Pi, NVIDIA® Jetson Nano/Xavier NX/AGX Orin/Orin Nano/Orin NX, Dual OV9281 Monochrome Global Shutter Camera Module
The stereo camera module is designed for binocular applications like robots, depth sensing. It has a fixed baseline between two cameras, and a standard 15pins CSI-2 FPC cable connection to the backend processor. Camera driver and tutorial documents are available for popular embedded systems like Raspberry Pi and Jetson Nano.
2. Stereo Camera HAT
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1MP*2 OV9281 Global Shutter Monochrome Stereoscopic Camera Bundle Kit for Raspberry Pi, NVIDIA® Jetson Nano/Xavier NX/AGX Orin/Orin Nano/Orin NX
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Arducam 12MP*2 Synchronized Stereo Camera Bundle Kit for NVIDIA® Jetson Nano/Xavier NX/AGX Orin/Orin Nano/Orin NX, Two 12.3MP 477P Camera Modules with CS Lens and Camarray Stereo Camera HAT
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Arducam 12MP*2 Synchronized Stereo Camera Bundle Kit for Raspberry Pi and Pi zero, Two 12.3MP 477P Camera Modules with CS Lens and Camarray Stereo Camera HAT
The stereo camera HAT is an upgrade version from its ancestor, that merge two camera inputs and output the same resolution image to cheat the backend processor as if there is only one camera connected. Now it supports the new 12MP HQ camera IMX477, and keeps the same FOV as the input image by changing the output image display ratio.
3. Quad Camera HAT
The quad camera HAT is designed for more advanced usecase which requires more cameras and synchronization. Incorporating with different color filters, the user can create multi spectrum images more easily.
What can you do with Arducam Stereo Camera and ROS?
ROS visual SLAM (Simultaneous Localization and Mapping) and avoidance is a typical usecase for the stereo camera. It can be used to know where the robot is and which direction it heads to. And camarray is an ideal solution for such an application. Arducam has both stereo camera hardware, device driver, and tutorial document for ROS on the Jetson platform, accelerating the stereo camera integration into your current robotic system.
