A Scalable Lane Detection Algorithm on COTSs with OpenCL
| Autor: | Jan Botsch, Nikhil Madduri, Kai Huang, Biao Hu, Alois Knoll |
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| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology Frame rate 020202 computer hardware & architecture Scalability 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Lane detection business Particle filter Algorithm Computer hardware |
| Zdroj: | DATE |
| Popis: | Road lane detection are classical requirements for advanced driving assistant systems. With new computer technologies, lane detection algorithms can be exploited on COTS platforms. This paper investigates the use of OpenCL and develop a particle-filter based lane detection algorithm that can tune the trade-off between detection accuracy and speed. Our algorithm is tested on 14 video streams from different data-sets with different scenarios on different COTS hardware. With an average deviation fewer than 5 pixels, the average frame rates for the 14 videos can reach about 400 fps on both GPU and FPGA. The peak frame rates for certain videos on GPU can reach almost 1000 fps. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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