As you know, the NVIDIA Jetson TK1 Development Kit is a development kit for the SoC Tegra K1. Now that chip is available from NVIDIA Partners individually. Here in the USA, the chip is available at Arrow.com. Read more about the Tegra K1 and find distribution partners in your part Read more …
There are several ways to connect the Inertial Measurement Unit (IMU) to the Jetson TK1 Development Kit. Here’s a demonstration of a very simple way. Looky here: Background For the IMU, the The Adafruit 10-DOF IMU Breakout is being used. Here’s a couple of pictures of the breakout board from Read more …
This blog entry is a little backwards, in that it is labeled Part II. Actually, it’s part III. If you looked at Inertial Measurement Unit (IMU) – Part I, you would expect to see how to hook up the IMU to the Jetson. Instead, I’ll show you what happens after Read more …
Here’s a little series on integrating an Inertial Measurement Unit (IMU) onto the I2C GPIO pins of the NVIDIA Jetson TK1. First, we’ll build an interface library, RTIMULib, to enable the IMU to talk to the Jetson. Looky here: Background As a child of the space age, I was always Read more …
For the next project, Qt Creator is needed. Here’s a little video showing the installation on a NVIDIA Jetson Tk1 Development Kit. Looky here: Nothing difficult here. Open up a Terminal and execute: sudo apt-get install build-essential qt5-default qtcreator -y which will load Qt Creator. Once Qt Creator is installed, Read more …
Back in January of 2015, MIT offered a class called RACECAR (Rapid Autonomous Complex-Environment Competing Ackermann-steering Robot). The class outline: We will design and implement perception and planning algorithms for cars that can quickly navigate through complex environments. The class will be divided into six teams. Each team will be Read more …
Mark Harris over on the NVIDIA PARALLEL FORALL blog just posted details about the “The new Low-Power Image Recognition Challenge (LPIRC)”. The blog entry is worth the read, it covers Mark Harris’ Jetson TK1 Deep Learning Setup. The Challenge! To motivate improved image recognition on low-power devices, Yung-Hsiang Lu, Associate Read more …
The research paper An Empirical Evaluation of Deep Learning on Highway Driving was recently published by researchers from Stanford University, Twitter, Texas Instruments and Baidu. One of the authors is Andrew Y. Ng, who gave one of the keynotes at GTC 2015. Here’s the abstract: Abstract—Numerous groups have applied a Read more …
At the GPU Technology Conference (GTC) 2015, there were a group of presentations, tutorials and posters centered around embedded computing using Tegra TK1 and the Jetson TK1 Development Kit. The Tegra TK1 is a System on a Chip (SoC) with built in GPU (192 CUDA cores) in one package. Since Read more …
There were some good talks and workshops centered around Googles’ Project Tango Tablet. The current Project Tango hardware has a Tegra K1 processor (the same processor as the Jetson Development Kit) which is built to be a computer vision platform. On the hardware side, the device is a standard Android Read more …
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