{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/gpu-accelerated-real-time-stixel-computation","title":"GPU-accelerated real-time stixel computation","arxiv_id":"1610.04124","date":"2016-10-13","proceeding":null,"authors":["Daniel Hernandez-Juarez","Antonio Espinosa","David Vázquez","Antonio Manuel López","Juan Carlos Moure"],"abstract":"The Stixel World is a medium-level, compact representation of road scenes\nthat abstracts millions of disparity pixels into hundreds or thousands of\nstixels. The goal of this work is to implement and evaluate a complete\nmulti-stixel estimation pipeline on an embedded, energy-efficient,\nGPU-accelerated device. This work presents a full GPU-accelerated\nimplementation of stixel estimation that produces reliable results at 26 frames\nper second (real-time) on the Tegra X1 for disparity images of 1024x440 pixels\nand stixel widths of 5 pixels, and achieves more than 400 frames per second on\na high-end Titan X GPU card.","url_abs":"http://arxiv.org/abs/1610.04124v1","url_pdf":"http://arxiv.org/pdf/1610.04124v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"gpu-accelerated-real-time-stixel-computation","repo_url":"https://github.com/dhernandez0/stixels","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":null,"task_name":"GPU"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}