![]() By default, NVIDIA Jetson TK1 is preinstalled with Ubuntu 14.04 operating system.Ī 12 V AC / DC adapter is used to power the microcomputer. NVIDIA Jetson TK1 internal memory is represented by a 16 GB eMMC module. More details about all the features of the platform can be found here. As stated on the official pageThe processor allows you to run on the board any demanding graphics tasks, such as face recognition, augmented reality, and even computer vision tasks for unmanned vehicles. The mobile Tegra K1 processor has very similar properties and architecture to the desktop GPU, which allows it to withstand heavy loads with minimal power consumption. NVIDIA Jetson boasts a 4-core ARM Cortex-A15 CPU with 2.3 GHz, has the same components as the Raspberry Pi (HDMI, USB 2.0 and 3.0, Ethernet), as well as PC-specific modules: SATA, mini-PCIe. NVIDIA Jetson TK1 is an NVIDIA microcomputer based on Tegra K1 SOC (CPU + GPU on a single chip with CUDA support). To begin, consider the NVIDIA Jetson TK1 platform. After installing all the necessary, we will connect and try to strealabs ZED stereo camera. In this article I will deviate a little from the topic and talk about setting up and working with ROS on an NVIDIA Jetson TK1 microcomputer. We see more and more developers use the ZED, so don’t forget to send us feedback and updates about your work! And follow us on Twitter for news and updates.Good afternoon, dear readers! In the last articles, I talked about popular SLAM methods and visual odometry that have support in ROS. Check out this video to see how we combined the ZED, NVIDIA Jetson TX1 and a DJI Matrice 100 to build the first live scanning drone!Īlso, we’re preparing a new release of the ZED SDK for NVDIA Tegra X1, along with very cool things that we will release after CES 2016. If you’re following us on Twitter, you should have seen that we’re working in close collaboration with NVIDIA on its next-generation Jetson TX1 platform. Lastly, now that Windows 10 is rolling out, we’ve added full support for the new OS in 0.9.2. This allows you to have full control over your camera parameters and still benefit from the ZED SDK advanced features. In this update, we introduce the possibility to calibrate your ZED and input your own calibration parameters in the Settings control panel. We’ve received many requests for advanced customization options from our experts users. In 0.9.2, we have dramatically reduced aliasing artifacts, so if you’re using 0.9, we strongly suggest you upgrade to the new ZED SDK! New Advanced Calibration Features While 0.9 introduced major changes in the SDK architecture, it impacted image quality. ![]() Depth is now 40% faster, so make sure to update to the latest ZED SDK for Jetson. Specifically optimized for the ARM platform, the ZED depth computation engine includes substantial performance improvements. Also, don’t forget to regularly check our GitHub page for updates!Ġ.9.2 includes a brand-new release of the ZED SDK for Jetson TK1. A complete tutorial is available on our blog, along with source code. You can now use the ZED to live stream 3D video to Oculus Rift, either for AR / VR applications or 3D FPV. This release adds support for Oculus Rift, substantial performance improvements for NVIDIA Jetson TK1, and much more.Īs part of 0.9.2, we have introduced support for Oculus Rift DK2. We’re excited to announce the release of the ZED SDK 0.9.2 for Windows and Linux. New ZED SDK 0.9.2 Brings Support for Oculus Rift ![]()
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