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DESCRIPTION:Extended Deadline for paper submission: August 26!\n\n16th Symp
 osium Sensor Data Fusion: Trends\, Solutions and Applications\n\n[]\nhttps
 ://www.fkie.fraunhofer.de/sdf2024\n\nNovember 25\, 2024 - November 27\, 20
 24\n\nBonn\, Germany\n\nCALL FOR PAPERS\n\nMotivation\n\nTo a degree never
  known before\, human decision makers or decision making systems have acce
 ss to a vast amount of data. Therefore\, real-time data streams must not o
 verwhelm the actors involved. On the contrary\, the data are to be fused t
 o high-quality information to provide a reliable decision support. Being a
  challenging exploitation technology at the common interface between senso
 rs\, command &amp; control systems\, data and information fusion has a large p
 otential for future security and ISR systems in defence and civilian appli
 cations.\n\nScope\n\nSensor Data Fusion techniques provide higher-level in
 formation by spatio-temporal data integration\, the exploitation of redund
 ant and complementary information\, and the available context. Important a
 pplications exist in logistics\, advanced driver assistance systems\, medi
 cal care\, public security\, defence\, aerospace\, robotics\, industrial p
 roduction\, precision agriculture\, traffic monitoring\, sensor positionin
 g\, and resource management.\n\nKeynote\n\n[]\n\nPlenary Talk: Daniel Crem
 ers - »3D Computer Vision for Dynamic Scene Understanding«\n\nKey Aspect
 s\n\n- Distributed sensor fusion in complex scenarios.\n- Fusion of hetero
 geneous sensor information\n- Exploitation of non-sensor context knowledge
 \n- Artificial Intelligence of autonomous systems\n- Risk analysis / data 
 driven sensor management\n\nContributions\n\nProspective authors are encou
 raged to submit high-quality full draft papers (6-8 pages\, IEEE format). 
 All submissions are subject to a peer-review process by the technical prog
 ram committee. Accepted and presented papers will be submitted to IEEE for
  publication. At least one of the authors of each accepted contribution is
  expected to register for the Symposium\, which will be held in Bonn\, Ger
 many\, to present he paper.\n\nDeadline: August 26\, 2024\n\nCo-sponsored 
 by: Fraunhofer FKIE\n\nSpeaker(s): \, Daniel Cremers\n\nBonn\, Nordrhein-W
 estfalen\, Germany
LOCATION:Bonn\, Nordrhein-Westfalen\, Germany
ORGANIZER:felix.govaers@fkie.fraunhofer.de
SEQUENCE:34
SUMMARY:16th Symposium Sensor Data Fusion: Trends\, Solutions and Applicati
 ons
URL;VALUE=URI:https://events.vtools.ieee.org/m/430001
X-ALT-DESC:Description: &lt;br /&gt;&lt;table id=&quot;m_984578463336218294table_0&quot;&gt;\n&lt;tb
 ody&gt;\n&lt;tr style=&quot;text-align: center\;&quot;&gt;\n&lt;td&gt;\n&lt;div&gt;\n&lt;h2 class=&quot;stage-hea
 ding fragment&quot;&gt;&lt;span style=&quot;color: rgb(224\, 62\, 45)\;&quot;&gt;Extended Deadline
  for paper submission: August 26!&lt;/span&gt;&lt;/h2&gt;\n&lt;h2 id=&quot;16th-Symposium-Sens
 or-Data-Fusion-Trends-Solutions-and-Applications&quot; class=&quot;stage-heading fra
 gment&quot;&gt;16th Symposium Sensor Data Fusion: Trends\, Solutions and Applicati
 ons&lt;/h2&gt;\n&lt;h1 style=&quot;text-align: center\;&quot;&gt;&lt;img src=&quot;https://enotice.vtool
 s.ieee.org/vtools_ui/media/display/b583297c-841c-4a60-ab65-a167147044a7&quot; a
 lt=&quot;&quot; width=&quot;400&quot; height=&quot;114&quot;&gt;&lt;br&gt;&lt;a href=&quot;https://www.fkie.fraunhofer.de
 /sdf2024&quot;&gt;https://www.fkie.fraunhofer.de/sdf2024&lt;/a&gt;&lt;/h1&gt;\n&lt;div class=&quot;tit
 le fhg-grid-1-1-1 text-h4&quot;&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;div class=&quot;content fhg-grid-2-1
 -1&quot;&gt;\n&lt;p&gt;&lt;strong&gt;November 25\, 2024 &amp;nbsp\;-&amp;nbsp\; November 27\, 2024&lt;/st
 rong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Bonn\, Germany&lt;/strong&gt;&lt;/p&gt;\n&lt;/div&gt;\n&lt;/div&gt;\n&lt;/td&gt;\n
 &lt;/tr&gt;\n&lt;tr style=&quot;text-align: center\;&quot;&gt;\n&lt;td&gt;\n&lt;div&gt;\n&lt;h1 style=&quot;text-ali
 gn: center\;&quot;&gt;CALL FOR PAPERS&lt;/h1&gt;\n&lt;/div&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr style=&quot;text-
 align: center\;&quot;&gt;\n&lt;td&gt;\n&lt;div&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;h4&gt;Motivation&lt;/h4&gt;\n&lt;p st
 yle=&quot;text-align: left\;&quot;&gt;To a degree never known before\, human decision m
 akers or decision making systems have access to a vast amount of data. The
 refore\, real-time data streams must not overwhelm the actors involved. On
  the contrary\, the data are to be fused to high-quality information to pr
 ovide a reliable decision support. Being a challenging exploitation techno
 logy at the common interface between sensors\, command &amp;amp\; control syst
 ems\, data and information fusion has a large potential for future securit
 y and ISR systems in defence and civilian applications.&lt;br&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;h
 4&gt;Scope&lt;/h4&gt;\n&lt;p style=&quot;text-align: left\;&quot;&gt;Sensor Data Fusion techniques 
 provide higher-level information by spatio-temporal data integration\, the
  exploitation of redundant and complementary information\, and the availab
 le context. Important applications exist in logistics\, advanced driver as
 sistance systems\, medical care\, public security\, defence\, aerospace\, 
 robotics\, industrial production\, precision agriculture\, traffic monitor
 ing\, sensor positioning\, and resource management.&lt;/p&gt;\n&lt;h4&gt;&lt;br&gt;Keynote&lt;/
 h4&gt;\n&lt;p&gt;&lt;strong&gt;&lt;img src=&quot;https://enotice.vtools.ieee.org/vtools_ui/media/
 display/3b2fc469-02d3-4da1-8737-d41a282dd8d6&quot; alt=&quot;&quot; width=&quot;50&quot; height=&quot;50
 &quot;&gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Plenary Talk:&lt;/strong&gt; Daniel Cremers - &amp;raquo
 \;3D Computer Vision for Dynamic Scene Understanding&amp;laquo\;&lt;/p&gt;\n&lt;h4&gt;Key 
 Aspects&lt;/h4&gt;\n&lt;ul&gt;\n&lt;li style=&quot;text-align: left\;&quot;&gt;Distributed sensor fusi
 on in complex scenarios.&lt;/li&gt;\n&lt;li style=&quot;text-align: left\;&quot;&gt;Fusion of he
 terogeneous sensor information&lt;/li&gt;\n&lt;li style=&quot;text-align: left\;&quot;&gt;Exploi
 tation of non-sensor context knowledge&lt;/li&gt;\n&lt;li style=&quot;text-align: left\;
 &quot;&gt;Artificial Intelligence of autonomous systems&lt;/li&gt;\n&lt;li style=&quot;text-alig
 n: left\;&quot;&gt;Risk analysis / data driven sensor management&lt;br&gt;&amp;nbsp\;&lt;/li&gt;\n
 &lt;/ul&gt;\n&lt;h4&gt;Contributions&lt;/h4&gt;\n&lt;p style=&quot;text-align: left\;&quot;&gt;Prospective a
 uthors are encouraged to submit high-quality full draft papers (6-8 pages\
 , IEEE format). All submissions are subject to a peer-review process by th
 e technical program committee. Accepted and presented papers will be submi
 tted to IEEE for publication. At least one of the authors of each accepted
  contribution is expected to register for the Symposium\, which will be he
 ld in Bonn\, Germany\, to present he paper.&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;/div&gt;\n&lt;
 /td&gt;\n&lt;/tr&gt;\n&lt;tr style=&quot;text-align: center\;&quot;&gt;\n&lt;td&gt;\n&lt;div&gt;\n&lt;h2&gt;&lt;span sty
 le=&quot;color: rgb(224\, 62\, 45)\;&quot;&gt;Deadline:&amp;nbsp\;&lt;strong&gt;August 26\, 2024&lt;
 /strong&gt;&lt;/span&gt;&lt;/h2&gt;\n&lt;/div&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;/tbody&gt;\n&lt;/table&gt;
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