JetsonHacks

Developing on NVIDIA® Jetson™ for AI on the Edge

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MIT Racecar 2015 Season
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 […]
One of the talks that I attended at the GPU Technology Conference was “Early Evaluation of the Jetson TK1 Development Board for Power and Performance” given by Jee Choi, a […]
The Keynotes from the GPU Technology Conference 2015 are now online. Opening Keynote – Jen-Hsun Huang NVIDIA CEO and co-founder Jen-Hsun Huang opened the show with some product announcements and […]
When STEREOLABS dropped by the NVIDIA booth, I was able to get a peek at their ZED Stereo Camera. At first glance, the camera looked to be ruggedly packaged and […]
There was a major emphasis on Tegra Automotive at the GPU Technology Conference (GTC) 2015. NVIDIA announced a new product, NVIDIA Drive PX, a $10,000 automotive development kit. The Drive […]

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