Tutorials - Revision history

Faber at 10:47, 21 July 2016

2016-07-21T10:47:55Z

Faber at 09:03, 21 July 2016

2016-07-21T09:03:43Z

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Faber at 08:58, 21 July 2016

2016-07-21T08:58:35Z

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Faber at 08:55, 29 June 2016

2016-06-29T08:55:29Z

Faber at 12:06, 27 June 2016

2016-06-27T12:06:21Z

Faber at 12:04, 27 June 2016

2016-06-27T12:04:56Z

Faber at 12:04, 27 June 2016

2016-06-27T12:04:17Z

Faber at 10:33, 24 June 2016

2016-06-24T10:33:38Z

Faber at 14:28, 17 June 2016

2016-06-17T14:28:22Z

Faber at 14:14, 17 June 2016

2016-06-17T14:14:22Z

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-'''Presenter:''' [mailto:D.E.Clark@hw.ac.uk Daniel Clark], Emmanuel D. Delande, and Jérémie Houssineau<br />
+'''Presenter:''' [mailto:D.E.Clark@hw.ac.uk Daniel Clark], Emmanuel D. Delande, and Isabel Schlangen<br />
 '''Length:''' 3 hours<br />
 '''Brief description:''' ... This tutorial will highlight some basic mathematical concepts in multiobject estimation to enable researchers to better understand and contribute to innovations in this field. The goal of the presenters is to inspire participants to develop a broader mathematical perspective and explore the literature in spatial statistics and point processes to aid their research in sensor fusion. The presenters will highlight where new concepts to multiobject estimation in sensor fusion, such as regional variance for estimating population uncertainty, can be facilitated when considering a measuretheoretic point process perspective.<br />

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-[[File:Cd0b00_d92f75fa3e9445979ac32d86a85165bd.gif|112px|Conference Catalysts, LLC|link=http://www.conferencecatalysts.com/]][[File:Blank.png|link=]][[File:Congress-and-more_logo.png|congress and morecongress and more|link=http://congressandmore.de/]]
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 {| id="mp-left" style="width:100%; vertical-align:top; background:#fae6de;"
-| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#f9d6c9; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #f5946e; text-align:left; color:#000; padding:0.2em 0.4em;">T26 Multisensor Data Fusion in Wireless Sensor and Actuator Networks</h2>
+| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#f9d6c9; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #f5946e; text-align:left; color:#000; padding:0.2em 0.4em;"><span style="background:#cdcdcd"><s>T26 Multisensor Data Fusion in Wireless Sensor and Actuator Networks</s></span> - Withdrawn</h2>
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@@ Line 233: / Line 233: @@
 Probabilistic situation assessment for abnormal …<br />
 ''Regazzoni, Marcenaro''
-|style="text-align:center;background-color:#f7eff7;" | '''[[Tutorials#tutorial26| T26]]'''<br />
+|style="text-align:center;background-color:#cdcdcd;" | <s>'''[[Tutorials#tutorial26| T26]]'''<br />
 Multisensor Data Fusion in Wireless ... Networks<br />
-''Miceli de Farias''
+''Miceli de Farias''</s><br />
 |style="text-align:center;background-color:#cdcdcd;" | <s>'''[[Tutorials#tutorial22| T22]]'''<br />
 Multitarget tracking and sensor calibration in ... networks<br />

@@ Line 108: / Line 108: @@
 * [[Tutorials#tutorial24| T24 Introduction to Bayesian Filtering and Smoothing]]
 * [[Tutorials#tutorial25| T25 Sensor Fusion for Intelligent Vehicles]]
-* [[Tutorials#tutorial26| T26 Multisensor Data Fusion in Wireless Sensor and Actuator Networks]]
+* <span style="background:#cdcdcd">[[Tutorials#tutorial26|  <s>T26 Multisensor Data Fusion in Wireless Sensor and Actuator Networks]] </s></span> - Withdrawn
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@@ Line 96: / Line 96: @@
 * [[Tutorials#tutorial12| T12 Implementations of Random-Finite-Set-Based Multi-Target Filters]]
 * [[Tutorials#tutorial13| T13 Tracking and Sensor Data Fusion – Methodological Framework and Selected Applications]]
-* <span style="background:#cdcdcd">[[Tutorials#tutorial14| <s>T14 Multistatic Exploration – Introduction to Modern Passive Radar and Multistatic Tracking & Data Fusion</s>]]</span> - Withdrawn by presenter
+* <span style="background:#cdcdcd">[[Tutorials#tutorial14| <s>T14 Multistatic Exploration – Introduction to Modern Passive Radar and Multistatic Tracking & Data Fusion</s>]]</span> - Withdrawn
 * [[Tutorials#tutorial15| T15 Big Data Fusion and Analytics]]
 * [[Tutorials#tutorial16| T16 Object Tracking, Sensor Fusion and Situational Awareness for Assisted- and Self-Driving Vehicles: Problems, Solutions and Directions]]
@@ Line 104: / Line 104: @@
 * [[Tutorials#tutorial20| T20 Extended Object Tracking: Theory and Applications]]
 * [[Tutorials#tutorial21| T21 Probabilistic Situation Assessment for Abnormal Interaction Detection]]
-* <span style="background:#cdcdcd">[[Tutorials#tutorial22| <s>T22 Multitarget Tracking and Sensor Calibration in Centralized and Distributed Networks]]</s></span> - Withdrawn by presenter
+* <span style="background:#cdcdcd">[[Tutorials#tutorial22| <s>T22 Multitarget Tracking and Sensor Calibration in Centralized and Distributed Networks]]</s></span> - Withdrawn
 * [[Tutorials#tutorial23| T23 Information Fusion in Resource-Limited Camera Networks]]
 * [[Tutorials#tutorial24| T24 Introduction to Bayesian Filtering and Smoothing]]
@@ Line 167: / Line 167: @@
 Multistatic Exploration ... Modern Passive Radar …<br />
 ''Koch''</s><br />
-<small>Withdrawn by presenter</small>
+<small>Withdrawn</small>
 |-
 |style="width:7em;text-align:center;background-color:#e7deef;"| '''11:30–12:30'''
@@ Line 239: / Line 239: @@
 Multitarget tracking and sensor calibration in ... networks<br />
 ''Uney, Julier, Clark''</s><br />
-<small>Withdrawn by presenter</small>
+<small>Withdrawn</small>
 |-
 |style="width:7em;text-align:center;background-color:#e7deef;"| '''19:00–22:00'''
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 | style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#fff7bd; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #f2ea7e; text-align:left; color:#000; padding:0.2em 0.4em;">
-<span style="background:#cdcdcd"><s>T14 Multistatic Exploration – Introduction to Modern Passive Radar and Multistatic Tracking & Data Fusion</s></span> - Withdrawn by presenter</h2>
+<span style="background:#cdcdcd"><s>T14 Multistatic Exploration – Introduction to Modern Passive Radar and Multistatic Tracking & Data Fusion</s></span> - Withdrawn</h2>
 |-
 | style="color:#000;" | <div id="mp-tfa" style="padding:2px 5px">
@@ Line 667: / Line 667: @@
 {| id="mp-left" style="width:100%; vertical-align:top; background:#e7f7e76;"
-| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#ceecf2; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #a3babf; text-align:left; color:#000; padding:0.2em 0.4em;"><span style="background:#cdcdcd"><s>T22 Multitarget Tracking and Sensor Calibration in Centralized and Distributed Networks</s></span> - Withdrawn by presenter</h2>
+| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#ceecf2; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #a3babf; text-align:left; color:#000; padding:0.2em 0.4em;"><span style="background:#cdcdcd"><s>T22 Multitarget Tracking and Sensor Calibration in Centralized and Distributed Networks</s></span> - Withdrawn</h2>
 |-
 | style="color:#000;" | <div id="mp-tfa" style="padding:2px 5px">

@@ Line 182: / Line 182: @@
 ... random-finite-set-based multi-target filters<br />
 ''Vo, Vo''
 |style="text-align:center;background-color:#f7eff7;" | '''[[Tutorials#tutorial6| T6]]'''<br />
 Information Quality in Information Fusion …<br />
 ''Rogova''
 |style="text-align:center;background-color:#f7eff7;" | '''[[Tutorials#tutorial10| T10]]'''<br />
 Basic concepts in multi-object estimation<br />
@@ Line 221: / Line 221: @@
 Bayesian Multiple Target Tracking<br />
 ''Stone, Streit''
 |style="text-align:center;background-color:#f7eff7;" | '''[[Tutorials#tutorial18| T18B]]'''<br />
 Maneuvering Target Tracking ... Filtering Methods<br />
 ''Li, Jilkov''
 |style="text-align:center;background-color:#f7eff7;" | '''[[Tutorials#tutorial24| T24]]'''<br />
 Introduction to Bayesian Filtering and Smoothing<br />