Development Of Compound Eye Camera System For Searching In Rubble

• doi: 10.1109/IROS.2004.1389390
• title: Development of compound eye camera system for searching in rubble
• publisher: IEEE
• isbn: 0-7803-8463-6
• issn:
• partnum: 04CH37566
• rank: 2263
• access_type: LOCKED
• content_type: Conferences
• abstract: The final goal of this research is to develop a mobile system to collect 3D information and panoramic image in rubble to search human bodies and situation in the rubble. This system has abilities to collect and deliver information and cooperate with other robots etc. As a part of this project, multiple CMOS cameras are integrated in a sensor head, and software for generating panorama image and distance information is developed.
• article_number: 1389390
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1389390
• html_url: https://ieeexplore.ieee.org/document/1389390/
• abstract_url: https://ieeexplore.ieee.org/document/1389390/
• publication_title: 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)
• conference_location: Sendai, Japan
• conference_dates: 28 Sept.-2 Oct. 2004
• publication_number: 9577
• is_number: 30275
• publication_year: 2004
• publication_date: 28 Sept.-2 Oct. 2004
• start_page: 431
• end_page: 436 vol.1
• citing_paper_count: 2
• citing_patent_count: 0
• download_count: 86
• insert_date: 20050214
• index_terms:
  • ieee_terms:
    • Cameras
    • CMOS image sensors
    • Humans
    • Gas detectors
    • Robot sensing systems
    • Image generation
    • Hardware
    • Circuit testing
    • System testing
    • Laboratories
  • dynamic_index_terms:
    • Compound Eyes
    • Eye Camera
    • Multiple Cameras
    • Panoramic Images
    • Imaging Data
    • Image Plane
    • Reference Image
    • Image Point
    • Firefighters
    • Bilinear Interpolation
    • Sum Of Squared Differences
    • Sum Of Squared Deviations
    • Translation Vector
    • Large-scale Disasters
• isbn_formats:
  • format: Print ISBN, value: 0-7803-8463-6, isbnType: Historical
• authors:
  • Author Name: S. Makita
    Affiliation: Kobe Laboratory, International Rescue System Institute, Kobe, Japan
    Author URL: https://ieeexplore.ieee.org/author/37940016800
    ID: 37940016800
    Order: 1
    Author Affiliations:
    • Kobe Laboratory, International Rescue System Institute, Kobe, Japan
  • Author Name: T. Kishima
    Affiliation: Department of Computer and Systems Engineering, Graduate School of Science and Technology, Kobe University, Kobe, Japan
    Author URL: https://ieeexplore.ieee.org/author/37088048443
    ID: 37088048443
    Order: 2
    Author Affiliations:
    • Department of Computer and Systems Engineering, Graduate School of Science and Technology, Kobe University, Kobe, Japan
  • Author Name: M. Minobe
    Affiliation: Department of Computer and Systems Engineering, Graduate School of Science and Technology, Kobe University, Kobe, Japan
    Author URL: https://ieeexplore.ieee.org/author/37088051893
    ID: 37088051893
    Order: 3
    Author Affiliations:
    • Department of Computer and Systems Engineering, Graduate School of Science and Technology, Kobe University, Kobe, Japan
  • Author Name: S. Tadokoro
    Affiliation: Department of Computer and Systems Engineering, Graduate School of Science and Technology, Kobe University, Kobe, Japan
    Author URL: https://ieeexplore.ieee.org/author/37296054300
    ID: 37296054300
    Order: 4
    Author Affiliations:
    • Department of Computer and Systems Engineering, Graduate School of Science and Technology, Kobe University, Kobe, Japan

Image Sensor

• sensor_type: CMOS
• resolution: 352x288
• 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: Advanced search and rescue operations in large-scale disasters.

Supporting Organizations

• supported_by: International Rescue System Institute, Kobe Laboratory, Kobe University

Manuscript Details

• publication_date: 28 Sept.-2 Oct. 2004

Relevancy Score

• score: 8
• missing_fields:
  • dynamic_range
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • cell_imaging
  • benefits

Processed JSON Filename

request_27827e1e-6e39-498a-b275-871abc8d6ea2-development_of_compound_eye_camera_system_for_searching_in_rubble.json