A Trapezoid Cmos Image Sensor With 2 Detection Accuracy For Traffic Monitoring

• doi: 10.1109/MWSCAS.2017.8053133
• title: A trapezoid CMOS image sensor with 2% detection accuracy for traffic monitoring
• publisher: IEEE
• isbn: 978-1-5090-6390-1
• issn: 1558-3899
• rank: 1334
• access_type: LOCKED
• content_type: Conferences
• abstract: In this paper, a new multi-resolution CMOS imager sensor with trapezoid pixel array, called TZOID, is presented. It was designed for traffic monitoring to detect the speed and location vehicles approaching a signized intersection. It composes of significantly less number of pixels than a comparable image sensor used in similar application. The unique trapezoid image sensor design eliminates computationally expensive coordinate mapping to extract necessary speed and location information. The TZOID imager approach simplifies the traffic monitoring camera system achieving lower communication bandwidth, low-power consumption and smaller frame memory. A prototype TZOID chip was fabricated in a 0.18μm CMOS process with a 40×152 multi-resolution trapezoid pixel array. The imager achieves 2% accuracy while extracting object location, length and speed information in scaled laboratory testbed.
• article_number: 8053133
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8053133
• html_url: https://ieeexplore.ieee.org/document/8053133/
• abstract_url: https://ieeexplore.ieee.org/document/8053133/
• publication_title: 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS)
• conference_location: Boston, MA, USA
• conference_dates: 6-9 Aug. 2017
• publication_number: 8039346
• is_number: 8052834
• publication_year: 2017
• publication_date: 6-9 Aug. 2017
• start_page: 1154
• end_page: 1158
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 170
• insert_date: 20171002
• index_terms:
  • ieee_terms:
    • Cameras
    • Image sensors
    • Image edge detection
    • Image resolution
    • Lenses
    • Monitoring
    • Roads
  • author_terms:
    • CMOS image sensor
    • trapezoid
    • TZOID
    • traffic monitoring
    • multiresolution image sensor
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Traffic Monitoring
    • Local Information
    • Object Location
    • Camera System
    • Pixel Array
    • Speed Information
    • High-resolution
    • Pixel Size
    • Pixel Resolution
    • Object Size
    • Tilt Angle
    • Stepper Motor
    • Camera Lens
    • Camera Lenses
    • Camera Calibration
    • Edges Of Objects
    • Pixel Width
    • Pixel Height
    • Height Of Each Pixel
    • Sensor Pixel
    • Speed Of The Object
    • Straightforward Mapping
    • Straightforward Function
    • Traffic Detection
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5090-6390-1, isbnType: New-2005
  • format: USB ISBN, value: 978-1-5090-6388-8, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-5090-6389-5, isbnType: New-2005
• authors:
  • Author Name: Bingxing Wu
    Affiliation: Electrical and Computer Engineering, University of Idaho, Moscow, ID, USA
    Author URL: https://ieeexplore.ieee.org/author/37085351480
    ID: 37085351480
    Order: 1
    Author Affiliations:
    • Electrical and Computer Engineering, University of Idaho, Moscow, ID, USA
  • Author Name: Ahmed Abdel-Rahim
    Affiliation: Civil Engineering Department, University of Idaho, Moscow, ID, USA
    Author URL: https://ieeexplore.ieee.org/author/38274042400
    ID: 38274042400
    Order: 2
    Author Affiliations:
    • Civil Engineering Department, University of Idaho, Moscow, ID, USA
  • Author Name: Suat U. Ay
    Affiliation: Electrical and Computer Engineering, University of Idaho, Moscow, ID, USA
    Author URL: https://ieeexplore.ieee.org/author/37326790500
    ID: 37326790500
    Order: 3
    Author Affiliations:
    • Electrical and Computer Engineering, University of Idaho, Moscow, ID, USA

Image Sensor

• sensor_type: CMOS
• resolution: 40x152
• dynamic_range: Not specified
• pixel_size: Minimum pixel size 3.4µm x 3.87µm
• dark_current: Not specified

Optical Data

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

Performance Metrics

• frame_rate: 120 FPS
• power_consumption: 0.730Mbytes/sec for data transmission

Applications & Benefits

• cell_imaging: Traffic monitoring, vehicle speed and location detection.
• benefits: Lower communication bandwidth, low power consumption, smaller frame memory, straightforward mapping for object detection.

Supporting Organizations

• supported_by: US Department of Transportation (DOT)

Manuscript Details

• publication_date: 6-9 Aug. 2017

Relevancy Score

• score: 9
• missing_fields:
  • dynamic_range
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • dark_current
  • noise

Processed JSON Filename

request_4166ae82-0979-47b0-b516-d084574e6e46-a_trapezoid_cmos_image_sensor_with_2_detection_accuracy_for_traffic_monitoring.json