Build OpenCV on the NVIDIA Jetson TX1
With the deprecation of OpenCV4Tegra in L4T 28.1, developers may want to build OpenCV from source for their applications. There is a script on the JetsonHacks Github account to help in the process....
View ArticleMobile Robot Navigation – Route Planning – Ariel Anders
At a recent MIT/Lincoln Labs 2017 Beaver Works Summer Institute Seminar, Ariel Anders gave a lecture on route planning with regards to mobile robot navigation. Looky here: Background There are many...
View ArticleOpenCV, Python, Onboard Camera – NVIDIA Jetson TX2
In this article, we build a simple demonstration of a Canny Edge Detector using OpenCV, Python, and the onboard camera of the NVIDIA Jetson TX2 Development Kit. Looky here: Background Back in 1986,...
View ArticleBuild TensorFlow on NVIDIA Jetson TX2 Development Kit
In this article, we will build and install TensorFlow v1.3.0 on the Jetson TX2 running L4T 28.1 from source. Looky here: Background TensorFlow is one of the major deep learning systems. Created at...
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Build TensorFlow on NVIDIA Jetson TX1 Development Kit
In this article, we will build TensorFlow v1.3.0 on the Jetson TX1 running L4T 28.1 from source, and then install it. Looky here: Background TensorFlow is one of the major deep learning systems....
View ArticleLow-Level Robot Vision – Sertac Karaman
At a recent MIT/Lincoln Labs 2017 Beaver Works Summer Institute Seminar, Sertac Karaman gave a lecture on low-level robot vision. Looky here: Background With the advent of the digital camera, vision...
View ArticleInstall TensorFlow for Python – NVIDIA Jetson TX Dev Kits
The last few articles we’ve been building TensorFlow packages which support Python. The packages are now in a Github repository, so we can install TensorFlow without having to build it from source....
View ArticleMobile Robot Navigation – Visual Servoing – Ariel Anders
At a recent MIT/Lincoln Labs 2017 Beaver Works Summer Institute Seminar, Ariel Anders gave a lecture on visual servoing control systems with regards to mobile robot navigation. Looky here: Background...
View ArticleQuick Tip: Use Camera SD Card in NVIDIA Jetson Development Kit
In this quick tip, we install a package so that we can read SD Cards that are formatted for cameras and Windows machines. Looky here: When you insert a SD Card in to a Jetson Development Kit, a Dialog...
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NVIDIA Jetson Developer Challenge – Win Fame and Fortune!
Okay, it’s on. As of this writing, you have 118 days to amaze your friends, and confuse your enemies. Jetson Developer Challenge The prize pool? Currently $42,800 USD. Big ideas, big money. Here’s the...
View ArticleInstall ttyACM Module – NVIDIA Jetson TX Development Kits
A USB ttyACM device cannot be accessed on a stock L4T 28.1 installation. In this article, we cover installation of a prebuilt cdc-acm module on the NVIDIA Jetson Dev Kits running L4T 28.1 to access...
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RACECAR/J Chassis Preparation
This is the first step of building a RACECAR/J. Here we prepare the chassis by removing parts we do not use, and upgrading the springs and bumper. Looky here: Background RACECAR/J is derived from the...
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State of JetsonHacks 2017
Thank you for reading and participating in the JetsonHacks community. Wishing everyone an absolutely great 2018! At this time of year, it is fun to recap some statistics about the website. A lot of...
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RACECAR/J Platform Preparation
RACECAR/J Platform Preparation is the second step of building RACECAR/J. In an earlier article we prepared the chassis, here we will be working on preparing the platform decks and adding some...
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TheRoboticsClub.org 72 Hour Self Driving Car Challenge
Let’s say that you are tired of fiddling around with scale cars and the idea of being confined where your car drives. Break out of that rut with TheRoboticsClub.org during a long weekend in Brisbane,...
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RACECAR/J Initial Assembly
In Part One and Part Two of the RACECAR/J Series, we built the chassis and platform decks. Now it’s time to put them together. Looky here: Introduction Building even a simple robot like RACECAR/J...
View ArticleDeep Learning for Self-Driving Cars
The course MIT 6.S094: Deep Learning for Self-Driving Cars is currently in session. Course instructor Dr. Lex Fridman states that “Our goal is to release 1 lecture every other day until all 20 lectures...
View ArticleRACECAR/J Software Install
In the previous article in our RACECAR/J Build Series, we finished the initial assembly of the base robot. Now it is time for the Software Install. Looky here: Background In the video, we install the...
View ArticleInstall USB to Serial Converter Kernel Modules – L4T 28.1
Have you experienced plugging in a USB device, and the Jetson not recognizing it? Sometimes all you need is the right USB to Serial Convert Kernel Module! Looky here: Background As we discovered in a...
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RACECAR/J – Programming the Electronic Speed Controller
Before we can run RACECAR/J, we need to program the electronic speed controller, called a VESC, for the motor and steering. Looky here: Background For RACECAR/J, we replace the stock TRAXXAS ESC with...
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