A Study On Power Reduction Strategies In Cmos Image Sensors For Automotive Applications

• doi: 10.1109/ITC-CSCC62988.2024.10628260
• title: A Study on Power Reduction Strategies in CMOS Image Sensors for Automotive Applications
• publisher: IEEE
• isbn: 979-8-3503-7906-8
• issn: 2997-7401
• rank: 944
• access_type: LOCKED
• content_type: Conferences
• abstract: With the increasing demand for autonomous driving and electric vehicles, vehicle semiconductors have seen a notable increase in both types and quantities. The CMOS Image Sensor(CIS) plays a vital role in autonomous systems but faces challenges in reducing power usage due to increased demands, resolution, and frame rates. Additionally, advancements in the manufacturing process have led to challenges associated with leakage current, especially at high temperatures. This study proposes an integrated method to reduce power consumption by tailoring conventional approaches based on the onboard temperature sensor and operational conditions, using simulation results as a reference. The results of each existing technique show that Body Biasing can achieve an average power reduction of 10%, whereas employing Power Gating on inactive modules yields an average power savings of 60% (the actual value may vary depending on the ratio of power-gated modules). Additionally, Clock Gating and Scaling techniques demonstrate an average power reduction ranging from 1% to 10%, depending on the temperature and frame rate. In contrast to individually applying these techniques, this study offers an integrated approach that effectively minimizes CIS power consumption, thereby enhancing the efficiency of the entire vehicle vision system.
• article_number: 10628260
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10628260
• html_url: https://ieeexplore.ieee.org/document/10628260/
• abstract_url: https://ieeexplore.ieee.org/document/10628260/
• publication_title: 2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)
• conference_location: Okinawa, Japan
• conference_dates: 2-5 July 2024
• publication_number: 10628105
• is_number: 10628121
• publication_year: 2024
• publication_date: 2-5 July 2024
• start_page: 1
• end_page: 5
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 207
• insert_date: 20240822
• index_terms:
  • ieee_terms:
    • Temperature sensors
    • Temperature distribution
    • Temperature dependence
    • Power demand
    • Process control
    • Computer architecture
    • CMOS image sensors
  • author_terms:
    • CMOS Image Sensor
    • Automotive
    • Power Reduction
    • Adaptive Control
    • Temperature
    • Frame Rate
  • dynamic_index_terms:
    • Reduction Strategies
    • Reduction Scheme
    • Reduction In Power
    • Automotive Applications
    • Energy Conservation
    • Energy-saving
    • Power Consumption
    • Electric Vehicles
    • Frame Rate
    • Increase In Type
    • Temperature Conditions
    • Operation Mode
    • Transit Time
    • Reduction Method
    • Threshold Voltage
    • High Dynamic Range
    • High Frame Rate
    • Idle Time
    • Dynamic Power
    • Gate Bias
    • Total Power Consumption
    • Frames Per Second
    • Dynamic Power Consumption
    • Idle Period
    • Voltage Scaling
    • Cyclic Redundancy Check
    • Lower Frame
    • Low Frame Rate
    • Voltage Ratio
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 979-8-3503-7906-8, isbnType: New-2005
  • format: Electronic ISBN, value: 979-8-3503-7905-1, isbnType: New-2005
• authors:
  • Author Name: Sejun Kim
    Affiliation: Department of Electrical and Electronic Eng, Yonsei University, Seoul, South Korea
    Author URL: https://ieeexplore.ieee.org/author/37089720588
    ID: 37089720588
    Order: 1
    Author Affiliations:
    • Department of Electrical and Electronic Eng, Yonsei University, Seoul, South Korea
    • System LSI Division, Samsung Electronics, Gyeonggi-do, South Korea
  • Author Name: Eui-Young Chung
    Affiliation: Department of Electrical and Electronic Eng, Yonsei University, Seoul, South Korea
    Author URL: https://ieeexplore.ieee.org/author/37286237800
    ID: 37286237800
    Order: 2
    Author Affiliations:
    • Department of Electrical and Electronic Eng, Yonsei University, Seoul, South Korea

Image Sensor

• sensor_type: CMOS
• resolution: 1.2 Megapixels
• 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

• frame_rate: 30, 60, 15 FPS

Applications & Benefits

• cell_imaging: Automotive applications, particularly in autonomous driving systems and providing visual information for situational awareness.
• benefits: Enhancing energy efficiency and performance in automotive CIS applications.

Supporting Organizations

• supported_by: Samsung Electronics, Yonsei University

Manuscript Details

• publication_date: 2-5 July 2024

Relevancy Score

• score: 10
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • temporal noise
  • fixed-pattern noise
  • analog-to-digital conversion
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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