A Real-Time Preceding Vehicle Detection System and Road Signs Detection System Implemented on FPGA

碩士 === 國立臺灣科技大學 === 電機工程系 === 105 === Recently, intelligent transportation systems have been grown rapidly and become a very popular topic. With the enhancement of the living quality, the safety driving becomes more and more important. The safety driving of intelligent vehicles plays an important ro...

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Bibliographic Details
Main Authors: Kuo-Hao Chung, 鐘國豪
Other Authors: Nai-Jian Wang
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/ytc935
Description
Summary:碩士 === 國立臺灣科技大學 === 電機工程系 === 105 === Recently, intelligent transportation systems have been grown rapidly and become a very popular topic. With the enhancement of the living quality, the safety driving becomes more and more important. The safety driving of intelligent vehicles plays an important role and draws lots of attention in the intelligent transportation system. Many researches are proposed to provide information concerning the safety driving to the driver and decrease the dangerous driving accidents. In this thesis, we proposed a real-time preceding vehicle detection and road signs detection system implemented on hardware design. Our system is composed of two parts: (1)Preceding vehicle detection system, (2)Road signs detection system. There are six steps in preceding vehicle detection system: (1)Image cropped, (2)Shadow detection, (3)Morphology, (4)Labeling, (5)Vehicle extraction, (6)Location. There are six steps in road signs detection system: (1)Image cropped, (2)Road signs color detection, (3)Morphology, (4)Labeling, (5)Filterings, (6)Location. Each step is designed by a hardware circuit module written in Verilog HDL. Finally, the proposed hardware architecture is implemented in the Altera DE2-70 development board to test the feasibility of our hardware design. Experimental results show that our system is achievable by 39,872 logic elements and 694.33mW in power dissipation. The detection rate of the preceding vehicle detection system is 90% and that of road signs detection system is 87%. It can operate in real-time at a frame rate of 30fps.