|
| Room |
Lomond Suite |
| 08:50 |
Opening Remarks |
| 09:00-10:00 |
Plenary speaker |
|
Dr. Andrew Blake, Deputy Managing Director at the Microsoft Research, Microsoft , UK |
| Room |
Tinto |
Moorfoot |
Kilsyth |
Harris 1 & 2 |
Carrick 1 & 2 |
Carrick 3 |
Ochill 1 & 2 |
Ochill 3 |
| 10:30 -12:10 |
Finite set statistics / PHD filter I |
Multiple target tracking |
Tracking applications I (RF) |
Belief functions I |
Networks: Tracking/localisations I |
Detection and signal processing |
Multistatic Tracking I |
|
| 13:10-14:50 |
Finite set statistics / PHD filter II |
Track fusion and out-of-sequence measurements |
Tracking applications II (bearings only) |
Recognition and prediction of intent |
Networks: Tracking/localisations II |
Classification and learning |
Multistatic Tracking II |
|
| 15:20 -16:40 |
Finite set statistics / PHD filter III |
Distributed fusion and tracking |
Tracking applications III (passive sensors) |
Situation assessment and anomaly detection |
Networks: Registration/denoising |
Classification and automatic target recognition |
Multistatic Tracking III |
|
|
| Room |
Lomond Suite |
| 09:00-10:00 |
Uncertainty Forum
Session Objective: Describe options for representation of uncertainty in open-world situations with hard (physics-based) and soft (human-based) sensors tracking hard and soft targets
Chairs:
Simon Maskell, QinetiQ, UK & John Lavery, US Army Research Office, USA
Speakers:
Jean Dézert, French Aerospace Lab, France, Peter Gill, University of Liverpool, UK, Simon Godsill, University of Cambridge, UK, Arnaud Martin, Ensieta, France, David Mercier, University of Artois, France |
| Room |
Tinto |
Moorfoot |
Kilsyth |
Harris 1 & 2 |
Carrick 1 & 2 |
Carrick 3 |
Ochill 1 & 2 |
Ochill 3 |
| 10:30 -12:10 |
Particle filters I |
Multi-model / multi-hypothesis tracking |
Applications IV (navigation) |
Allocation and resource management |
Networks: Distributed fusion |
Hybrid techniques for robust data fusion |
Derivative free methods I |
Data mining and decision analysis |
| 13:10-14:50 |
Particle filters II |
Performance evaluation I (multiple target tracking) |
Applications V (multilateration & ground moving target indication tracking) |
Defence / intelligence applications I |
Networks: Theory/management |
Advances and applications of DSmT for information Fusion |
Derivative free methods II |
Multidisciplinary research in hard and soft information fusion I |
| 15:20-17:00 |
Nonlinear estimation |
Performance evaluation II (fusion) |
Image detection and tracking |
Belief functions II |
|
Analysis and prediction of human behaviour by sensor networks |
Search planning and operations |
Multidisciplinary research in hard and soft information fusion II |
|
| Room |
Lomond Suite |
| 09:00-10:00 |
Plenary speaker |
|
Dr. Paul Newman, Reader in Engineering Science, Head of the Mobile Robotics Group, Dept. Engineering Science, University of Oxford , UK |
| Room |
Tinto |
Moorfoot |
Kilsyth |
Harris 1 & 2 |
Carrick 1 & 2 |
Carrick 3 (30) |
Ochill 1 & 2 |
Ochill 3 |
| 10:30 -12:10 |
Estimator developments I |
Data association |
Image fusion |
Trust / confidence / knowledge representation |
Chemical, biological, radiological, nuclear and explosive (CBRNE) detection/classification I |
Extended object and group tracking I |
Advances in high-level information fusion design I |
Issues and challenges in higher level fusion: Threat/impact assessment and intent modeling |
| 13:10-14:50 |
Estimator developments II |
Intelligent systems for context-based information fusion I |
Applications VI: including localisation |
Fusion/theory developments |
Chemical, biological, radiological, nuclear and explosive (CBRNE) detection/classification II |
Extended object and group tracking II |
Advances in high-level information fusion design II |
|
| 15:20-17:00 |
Object recognition and tracking in asymmetric scenarios: From physical to non-physical in both target type and sensing node |
Intelligent systems for context-based information fusion I |
Applications VII: including vehicle tracking |
Defence / intelligence applications II |
Information fusion by imprecise probabilities |
Transport and logistics |
Environmental and medical |
|
