| Autor: |
Watcharapan Suwansantisuk, Surachate Chumpol, Masami Ikura, Pinit Kumhom, Teerasak Chotikawanid, Chanon Khongprasongsiri |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
2018 International Workshop on Advanced Image Technology (IWAIT). |
| DOI: |
10.1109/iwait.2018.8369730 |
| Popis: |
Lane detection plays an important role in advanced driving assistance systems (ADAS). In this paper, a hardware implementation of a real-time lane detection is developed using the Xilinx's Zynq-7000 APSoC platform. The proposed algorithm of lane detection uses the Hough transform, which is necessary in our implementation but causes a performance bottleneck. The overlapping pipeline architecture is adopted so that latency and stage memory are minimal. While running at 100 MHz, the implemented hardware can achieve a speed performance of 130 frames per second, for a frame resolution of 480×270. Video streams of actual street conditions are used to test the system. From the test results, accuracy of lane detection is found to be satisfactory. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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