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2017 Symposium on Sensor Data Fusion: Trends, Solutions, Applications (SDF) : Bonn, Germany, October 10-12, 2017

Author: IEEE Aerospace and Electronic Systems Society,; International Society of Information Fusion,; Institute of Electrical and Electronics Engineers,
Publisher: Piscataway, NJ : IEEE, [2017?] ©2017
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Summary:
Sensor Data Fusion techniques provide higher level information by spatio temporal data integration, the exploitation of redundant and complementary information, and the available context Important applications exist in logistics, advanced driver assistance systems, medical care, public security, defence, aerospace, robotics, industrial production, precision agriculture, traffic monitoring, sensor positioning, and  Read more...
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Details

Genre/Form: Conference papers and proceedings
Congresses
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: IEEE Aerospace and Electronic Systems Society,; International Society of Information Fusion,; Institute of Electrical and Electronics Engineers,
OCLC Number: 1023047952
Description: 1 online resource (various pagings) : illustrations
Other Titles: SDF 2017
2017 Sensor Data Fusion :
Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2017
Responsibility: technical co-sponsor and sponsor: AESS, International Society of Information Fusion.

Abstract:

Sensor Data Fusion techniques provide higher level information by spatio temporal data integration, the exploitation of redundant and complementary information, and the available context Important applications exist in logistics, advanced driver assistance systems, medical care, public security, defence, aerospace, robotics, industrial production, precision agriculture, traffic monitoring, sensor positioning, and resource management.

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Linked Data


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