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A Novel Visible Light Positioning System With Event-Based Neuromorphic Vision Sensor

Chen, Guang (author)
Tongji Univ, Sch Automot Studies, Shanghai 201804, Peoples R China.;Tech Univ Munich, Chair Robot Artificial Intelligence & Real Time S, D-85748 Munich, Germany.
Chen, Wenkai (author)
Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China.
Yang, Qianyi (author)
Tongji Univ, Sch Automot Studies, Shanghai 201804, Peoples R China.
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Xu, Zhongcong (author)
Tongji Univ, Sch Automot Studies, Shanghai 201804, Peoples R China.
Yang, Longyu (author)
Tongji Univ, Sch Automot Studies, Shanghai 201804, Peoples R China.
Conradt, Jörg (author)
KTH,Beräkningsvetenskap och beräkningsteknik (CST)
Knoll, Alois (author)
Tech Univ Munich, Chair Robot Artificial Intelligence & Real Time S, D-85748 Munich, Germany.
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Tongji Univ, Sch Automot Studies, Shanghai 201804, Peoples R China;Tech Univ Munich, Chair Robot Artificial Intelligence & Real Time S, D-85748 Munich, Germany. Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China. (creator_code:org_t)
Institute of Electrical and Electronics Engineers (IEEE), 2020
2020
English.
In: IEEE Sensors Journal. - : Institute of Electrical and Electronics Engineers (IEEE). - 1530-437X .- 1558-1748. ; 20:17, s. 10211-10219
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • With the advanced development of image processing technology, visible light positioning (VLP) system based on image sensors has attracted more and more attention. However, as a commonly used light receiver, traditional CMOS camera has limited dynamic range and high latency, which is susceptible to various lighting and environmental factors. Moreover, high computational cost from image processing is unavoidable for most of visible light positioning systems. In our work, a novel VLP system using an event-based neuromorphic vision sensor (event camera) as the light receiver is proposed. Due to the low latency and microsecond-level temporal resolution of the event camera, our VLP system is able to identify multiple high-frequency flickering LEDs in asynchronous events simultaneously leaving out the need for data association and traditional image processing methods. A multi-LED fusion method is applied and a high positioning accuracy of 3cm is achieved when the height between LEDs and the event camera is within 1m.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Keyword

Cameras
Light emitting diodes
Sensors
Radar tracking
Receivers
Satellite broadcasting
Visible light communication
Indoor localization
event camera
visible lighting positioning
GM-PHD filter

Publication and Content Type

ref (subject category)
art (subject category)

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