Lowpower Optical Sensor For Traffic Detection

• doi: 10.1109/LSENS.2020.2983561
• title: Low-Power Optical Sensor for Traffic Detection
• publisher: IEEE
• isbn:
• issn: 2475-1472
• rank: 2941
• access_type: LOCKED
• content_type: Journals
• abstract: A CMOS sensor chip was used, together with an Arduino microcontroller, to create and verify a low-power low-cost optical motion detector for use in traffic detection under dark and daylight conditions. The chip can sense object features with very high dynamic range. On-chip near sensor image processing was used to reduce the data to be transferred to a host computer. A method using local extrema point detection was used to estimate motion through time-to-impact (TTI). Sensor data from the headlights of an approaching/passing car were used to extract TTI values similar to estimations from distance and speed of the object. The method can be used for detection of approaching objects to switch on streetlights (dark conditions) or sensors for traffic lights instead of magnetic sensors in the streets or conventional cameras (dark and daylight conditions). A sensor with a microcontroller operating at low clock frequency will consume less than 30 mW in this application.
• article_number: 9050911
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9050911
• html_url: https://ieeexplore.ieee.org/document/9050911/
• abstract_url: https://ieeexplore.ieee.org/document/9050911/
• publication_title: IEEE Sensors Letters
• conference_location:
• conference_dates:
• publication_number: 7782634
• is_number: 9079728
• publication_year: 2020
• publication_date: May 2020
• start_page: 1
• end_page: 4
• citing_paper_count: 7
• citing_patent_count: 0
• download_count: 749
• insert_date: 20200330
• index_terms:
  • ieee_terms:
    • Cameras
    • Magnetic sensors
    • Image processing
    • Optical sensors
    • Optical switches
  • author_terms:
    • Sensor applications
    • CMOS
    • image processing
    • low power
    • microcontroller
    • sensor
    • traffic
    • time-to-impact (TTI)
  • dynamic_index_terms:
    • Traffic Detection
    • Low-power Sensors
    • Image Processing
    • Dark Conditions
    • Standard Light
    • Street Lighting
    • Traffic Light
    • High Dynamic Range
    • High-dynamic-range
    • Clock Frequency
    • Daylight Conditions
    • Conventional Camera
    • Speed Of The Object
    • Light Source
    • Endurance
    • Borosilicate Glass
    • Power Consumption
    • Focal Length
    • Focal Lengths
    • Focal Distance
    • Central Line
    • Optical Flow
    • Expansion Rate
    • Camera Lens
    • Camera Lenses
    • Pinhole Camera
    • Pinhole Camera Model
    • Pinhole Projection
• authors:
  • Author Name: Ted Johansson
    Affiliation: Department of Electrical Engineering, Linköping University, Linköping, Sweden
    Author URL: https://ieeexplore.ieee.org/author/37268124700
    ID: 37268124700
    Order: 1
    Author Affiliations:
    • Department of Electrical Engineering, Linköping University, Linköping, Sweden
  • Author Name: Robert Forchheimer
    Affiliation: Department of Electrical Engineering, Linköping University, Linköping, Sweden
    Author URL: https://ieeexplore.ieee.org/author/37372692200
    ID: 37372692200
    Order: 2
    Author Affiliations:
    • Department of Electrical Engineering, Linköping University, Linköping, Sweden
  • Author Name: Anders Åström
    Affiliation: Department of Chemistry and Technology, Swedish National Forensic Center, Linköping, Sweden
    Author URL: https://ieeexplore.ieee.org/author/37347375800
    ID: 37347375800
    Order: 3
    Author Affiliations:
    • Department of Chemistry and Technology, Swedish National Forensic Center, Linköping, Sweden

Image Sensor

• sensor_type: CMOS
• resolution: 128 pixels (linear array)
• dynamic_range: High dynamic range for outdoor applications
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: 24 mm
• aperture: Not specified
• field_of_view: Limited angle-of-view due to small sensor size
• distortion: Not specified

Performance Metrics

• frame_rate: 100 frames/s under dark conditions
• power_consumption: Less than 30 mW for the microcontroller and sensor combined (20 mW for sensor)

Applications & Benefits

• cell_imaging: Not specified
• benefits: Detection of approaching vehicles under dark and daylight conditions, potential use in traffic lights instead of magnetic sensors or conventional cameras.

Supporting Organizations

• supported_by: Linköping University, Swedish National Forensic Center

Manuscript Details

• publication_date: May 2020

Relevancy Score

• score: 9
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • temporal noise
  • fixed-pattern noise
  • analog-to-digital conversion techniques
  • use of microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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