JetsonHacks

Developing on NVIDIA® Jetson™ for AI on the Edge

Author: kangalow

Bosch BNO055 IMU
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
Deep learning was the theme of GTC 2015, and an idea being explored is “RGBD Occlusion Detection via Deep Convolutional Neural Networks” by a group of researchers at United Technologies […]

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