Design And Implementation Of Pavement Crack Detection System Based On Fpga

• doi: 10.1109/CCDC.2015.7161872
• title: Design and implementation of pavement crack detection system based on FPGA
• publisher: IEEE
• isbn: 978-1-4799-7016-2
• issn: 1948-9447
• rank: 2130
• access_type: LOCKED
• content_type: Conferences
• abstract: With the rapid development of highway construction and gradual improvement of road network construction in China, road maintenance work has been paid more and more attention. The research for pavement cracks automatic detection and recognition is particularly urgent. This thesis designs a pavement crack detection system based on FPGA. The system uses Altera's DE2 development board as the hardware platform, a CMOS image sensor to collect pavement crack materials, and uses hardware and software co-design approach to image gray-scale transformation, image enhancement, adaptive filtering, image segmentation and thinning process and so on. based on the characteristics of various types of cracks resulting image analysis, feature extraction values and based on the eigenvalues of BP neural network to classify. Finally, we calculate the geometric characteristics of fractures, and fractures of the damage evaluation. Tests show that the system achieve better pavement crack detection function. System, image acquisition, image caching, and image display three modules Verilog hardware description language to write, crack detection module built SOPC, using the C programming language processing implementation in Nios II IDE environment.
• article_number: 7161872
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7161872
• html_url: https://ieeexplore.ieee.org/document/7161872/
• abstract_url: https://ieeexplore.ieee.org/document/7161872/
• publication_title: The 27th Chinese Control and Decision Conference (2015 CCDC)
• conference_location: Qingdao, China
• conference_dates: 23-25 May 2015
• publication_number: 7140653
• is_number: 7161655
• publication_year: 2015
• publication_date: 23-25 May 2015
• start_page: 5936
• end_page: 5941
• citing_paper_count: 3
• citing_patent_count: 0
• download_count: 291
• insert_date: 20150720
• index_terms:
  • ieee_terms:
    • Field programmable gate arrays
    • SDRAM
    • CMOS integrated circuits
    • Hardware design languages
    • Hardware
    • Electronic mail
    • Roads
  • author_terms:
    • Pavement Crack
    • BP Neural Network
    • FPGA
  • dynamic_index_terms:
    • Crack Detection
    • Pavement Crack
    • Pavement Crack Detection
    • Image Segmentation
    • Adaptive Filter
    • Caching
    • China Construction
    • Various Types Of Features
    • Characteristics Of Various Types
• isbn_formats:
  • format: CD, value: 978-1-4799-7016-2, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4799-7017-9, isbnType: New-2005
• authors:
  • Author Name: Li Jinghong
    Affiliation: Northeastern University, Shenyang, Liaoning, CN
    Author URL: https://ieeexplore.ieee.org/author/37659628400
    ID: 37659628400
    Order: 1
    Author Affiliations:
    • Northeastern University, Shenyang, Liaoning, CN
  • Author Name: Zhang Yang
    Affiliation: Northeastern University, Shenyang, Liaoning, CN
    Author URL: https://ieeexplore.ieee.org/author/37085491206
    ID: 37085491206
    Order: 2
    Author Affiliations:
    • Northeastern University, Shenyang, Liaoning, CN
  • Author Name: Wang Li
    Affiliation: Northeastern University, Shenyang, Liaoning, CN
    Author URL: https://ieeexplore.ieee.org/author/37089554522
    ID: 37089554522
    Order: 3
    Author Affiliations:
    • Northeastern University, Shenyang, Liaoning, CN

Image Sensor

• sensor_type: CMOS
• resolution: Not specified
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

Applications & Benefits

• cell_imaging: Not specified
• benefits: Not specified

Supporting Organizations

• supported_by: Not specified

Manuscript Details

• publication_date: 23-25 May 2015

Relevancy Score

• score: 6
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • cell_imaging
  • benefits
  • supported_by

Processed JSON Filename

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