GPU-accelerated real-time stixel computation
October 13, 2016 Β· Declared Dead Β· π IEEE Workshop/Winter Conference on Applications of Computer Vision
"No code URL or promise found in abstract"
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Authors
Daniel Hernandez-Juarez, Antonio Espinosa, David VΓ‘zquez, Antonio Manuel LΓ³pez, Juan Carlos Moure
arXiv ID
1610.04124
Category
cs.CV: Computer Vision
Citations
17
Venue
IEEE Workshop/Winter Conference on Applications of Computer Vision
Last Checked
3 months ago
Abstract
The Stixel World is a medium-level, compact representation of road scenes that abstracts millions of disparity pixels into hundreds or thousands of stixels. The goal of this work is to implement and evaluate a complete multi-stixel estimation pipeline on an embedded, energy-efficient, GPU-accelerated device. This work presents a full GPU-accelerated implementation of stixel estimation that produces reliable results at 26 frames per second (real-time) on the Tegra X1 for disparity images of 1024x440 pixels and stixel widths of 5 pixels, and achieves more than 400 frames per second on a high-end Titan X GPU card.
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