MS-We-D-39
Optimization techniques in target tracking and multi-sensor information fusion

Date: August 12
Time: 13:30--15:30
Room: 302B

(Note: Click title to show the abstract.)

Organizer:
Shen, Xiaojing (Sichuan Univ.)

Abstract: Target tracking and multi-sensor information fusion have benefited from a surge of research in recent years, due in part to intense research in optimization theory and the connections made between the three fields. In this minisymposium, we present some progress in target tracking and multi-sensor information fusion including 1) minimized Euclidean error data association and tracking; 2) target tracking with constrained target motion; 3) robust optimization techniques in hypothesis testing problems; 4) decentralized detection/estimation fusion in multi-sensor networks. The new algorithms developed in this talk lead to improvement over standard approaches in target tracking and sensor network applications.


MS-We-D-39-1
13:30--14:00
Minimized Euclidean Error Data Association for Multi-Target and Multisensor Uncertain Dynamic Systems
Shen, Xiaojing (Sichuan Univ.)


MS-We-D-39-2
14:00--14:30
Constrained Target Motion Analysis, Modeling and Tracking
Duan, Zhansheng (Xi'an Jiaotong Univ.)


MS-We-D-39-3
14:30--15:00
Robust Hypothesis Testing without a Symmetry Assumption of Nominal Densities under a Relative Entropy Tolerance
Song, Enbin (Sichuan Univ.)


MS-We-D-39-4
15:00--15:30
Majorization minimization technqiues for sparse signal recovery
Fang, Jun (Univ. of Electronic Sci. & Tech. of China)

Return


Footnote:
Code: Type-Date-Time-Room No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:30-9:30, B=10:00-11:00, C=11:10-12:10, BC=10:00-12:10, D=13:30-15:30, E=16:00-18:00, F=19:00-20:00, G=12:10-13:30, H=15:30-16:00
Room No.: TBA