Application Of Image Sensors In Autonomous Driving Systems

• doi: 10.1049/icp.2024.4059
• title: Application of image sensors in autonomous driving systems
• publisher: IET
• isbn: 978-1-83724-216-0
• issn:
• rank: 1664
• access_type: LOCKED
• content_type: Conferences
• abstract: In this paper, the author seeks to understand how image sensors are utilized in an ADS. Particularly, it focuses on the manner in which image sensors acquire the environmental information necessary for safe and efficient vehicular operation. The work contrasts the two prominent image sensors: the CCD and CMOS detectors, focusing on the shift from CCDs to CMOS in ADSs since the latter is less power hungry, works at a faster rate, and is easier to implement. The paper then goes further and compares new CMOS sensor technologies such as High Dynamic Range (HDR), Noise reduction and Event-driven Vision Sensors which enhance system performance under dynamic situations. Furthermore, the study also looks into the use of image sensors in the perception, decision-making, and control of ADS where the communication and integration with other sensors are brought up in creating a complete model of the surroundings. The paper concludes with a discussion on the use of image sensors in ADSs, particularly in enabling parking and navigating complex weather conditions.
• article_number: 10853815
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10853815
• html_url: https://ieeexplore.ieee.org/document/10853815/
• abstract_url: https://ieeexplore.ieee.org/document/10853815/
• publication_title: International Conference on Electrical Engineering and Intelligent Control (EEIC 2024)
• conference_location: Hybrid Conference, Singapore
• conference_dates: 11-13 Oct. 2024
• publication_number: 10853229
• is_number: 10853230
• publication_year: 2024
• publication_date: 11-13 Oct. 2024
• start_page: 647
• end_page: 650
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 9
• insert_date: 20250127
• index_terms:
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Autonomous Driving Systems
    • CCD Camera
    • Charge-coupled Device
    • Denoising
    • Noise Reduction
    • Use Of Sensors
    • High Dynamic Range
    • Convolutional Neural Network
    • Processing Speed
    • Psychomotor Speed
    • Dynamic Environment
    • Environmental Data
    • Autonomous Vehicles
    • Autonomous Driving
    • Path Planning
    • Motion Planning
    • Vehicle Position
    • Vehicle Location
    • Dynamic Scenarios
    • Safety Engineering
    • Safe Technology
    • Planned Behavior
    • Ultrasonic Sensors
    • Ultrasonic Detection
    • Advanced Driver Assistance Systems
    • Driver Assistance Systems
    • Scene Changes
    • High Dynamic Range Image
    • Slower Processing Speed
    • Lane Markings
    • Vehicle Distance
• isbn_formats:
  • format: Electronic ISBN, value: 978-1-83724-216-0, isbnType: New-2005
• authors:
  • Author Name: Ruitian Zhao
    Affiliation: Harbin No.9 High School, Harbin, 150000, People's Republic of China
    Author URL: https://ieeexplore.ieee.org/author/558304986124543
    ID: 558304986124543
    Order: 1
    Author Affiliations:
    • Harbin No.9 High School, Harbin, 150000, People's Republic of China

Image Sensor

• sensor_type: CMOS
• resolution: High resolution (exact resolution not specified)
• dynamic_range: High Dynamic Range (exact dB not specified)
• pixel_size: (exact size not specified)
• dark_current: (exact e-/s not specified)

Optical Data

• focal_length: (exact length not specified)
• aperture: (exact f-number not specified)
• field_of_view: (exact degrees not specified)
• distortion: (exact percentage not specified)

Performance Metrics

• frame_rate: (exact fps not specified)
• signal_to_noise_ratio: (exact dB not specified)
• sensitivity: (exact ISO not specified)
• shutter_speed: (exact speed not specified)
• power_consumption: (exact mW not specified)
• noise: (exact e- noise level not specified)

Applications & Benefits

• cell_imaging: (details not specified for cell imaging applications)
• benefits: Includes less power consumption, faster operation, and real-time processing capabilities.

Supporting Organizations

• supported_by: (no specific organizations mentioned)

Manuscript Details

• publication_date: 11-13 Oct. 2024

Relevancy Score

• score: 10
• missing_fields:
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

request_e8978e15-8ecc-435e-adf9-246e9c9b3daa-application_of_image_sensors_in_autonomous_driving_systems.json