GPU-accelerated real-time stixel computation

October 13, 2016 Β· Declared Dead Β· πŸ› IEEE Workshop/Winter Conference on Applications of Computer Vision

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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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