基于FPGA的车道检测系统，实时处理图像并自适应环境光照与温度。
FPGA-based Lane Detection System incorporating Temperature and Light Control Units
- 采用Sobel算法在FPGA上实现车道边缘检测
- 150MHz下每1.17毫秒输出一次车道信息
- 集成光温和控模块，提升复杂环境适应性
智能汽车是全球自动化趋势的重要成果，无论在城市道路还是机器人路径中，车道路径检测都至关重要。本文提出一种基于FPGA的车道检测车辆系统（LDV），利用Sobel算法进行边缘检测。系统在416×416图像分辨率和150MHz时钟频率下，每1.17毫秒生成一次有效输出，内容包括当前存在的车道数量、车道索引以及左右边界。此外，系统内置自动光控与温控单元，增强了对周围环境条件的适应能力。
原文摘要 · Abstract (English)
Intelligent vehicles are one of the most important outcomes gained from the world tendency toward automation. Applications of IVs, whether in urban roads or robot tracks, do prioritize lane path detection. This paper proposes an FPGA-based Lane Detector Vehicle LDV architecture that relies on the Sobel algorithm for edge detection. Operating on 416 x 416 images and 150 MHz, the system can generate a valid output every 1.17 ms. The valid output consists of the number of present lanes, the current lane index, as well as its right and left boundaries. Additionally, the automated light and temperature control units in the proposed system enhance its adaptability to the surrounding environmental conditions.
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