https://scholars.lib.ntu.edu.tw/handle/123456789/350301
標題: | A portable vision-based real-time lane departure warning system: Day and night | 作者: | Hsiao, P.-Y. Yeh, C.-W. Huang, S.-S. LI-CHEN FU |
關鍵字: | Computer vision; Embedded real-time system; Lane departure warning system (LDWS); Lane detection; Smart vehicle; Vanishing point | 公開日期: | 2009 | 卷: | 58 | 期: | 4 | 起(迄)頁: | 2089 - 2094 | 來源出版物: | IEEE Transactions on Vehicular Technology | 摘要: | Lane departure warning systems (LDWS) are an important element in improving driving safety. In this paper, we propose an embedded Advanced RISC Machines (ARM)-based real-time LDWS. As for software development, an improved lane detection algorithm based on peak finding for feature extraction is used to successfully detect lane boundaries. Then, a spatiotemporal mechanism using the detected lane boundaries is designed to generate appropriate warning signals. As for hardware implementation, a 1-D Gaussian smoother and a global edge detector are adopted to reduce noise effects in the images. By using the developed data transfer channel (DTC) in the reconfigurable field-programmable gate array (FPGA) module, the data transfer rate among the complementary metal-oxide-semiconductor (CMOS) imager module, liquid-crystal display (LCD) display module, and central processing unit (CPU) bus is about 25 frame/s for an image size of 256 × 256. In addition, the proposed departure warning algorithm based on spatial and temporal mechanisms is successfully executed on the presented ARM-based platform. The effectiveness of our system concludes that the lane detection rate is 99.57% during the day and 98.88% at night in a highway environment. The proposed departure mechanisms effectively generate effective warning signals and avoid most false warnings. © 2008 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-66149149884&doi=10.1109%2fTVT.2008.2006618&partnerID=40&md5=9146f7522b0fbf9dc8bbece93462a57f http://scholars.lib.ntu.edu.tw/handle/123456789/350301 |
ISSN: | 00189545 | DOI: | 10.1109/TVT.2008.2006618 | SDG/關鍵字: | Embedded real-time system; Lane departure warning system (LDWS); Lane detection; Smart vehicle; Vanishing point; Alarm systems; Atmospheric radiation; Computer vision; Data transfer; Data transfer rates; Detectors; Edge detection; Feature extraction; Field programmable gate arrays (FPGA); Hardware; Liquid crystal displays; Metal recovery; Real time systems; Signal detection |
顯示於: | 資訊工程學系 |
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