Situation assessment: an end-to-end process for the detection of objects of interest - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Aerospace and Electronic Systems Année : 2012

Situation assessment: an end-to-end process for the detection of objects of interest

Résumé

In this article, semi-automatic approaches are developed for wide area situation assessment in near-real-time. The two-step method consists of two granularity levels. The first entity assessment uses a new multi-target tracking algorithm (hybridization of GM-CPHD filter and MHT with road constraints) on GMTI data. The situation is then assessed by detecting objects of interest such as convoys with other data types (SAR, video). These detections are based on Bayesian networks and their credibilistic counterpart.
Fichier principal
Vignette du fichier
mainRR_double_column.pdf (1.08 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-00763715 , version 1 (11-12-2012)
hal-00763715 , version 2 (08-01-2014)

Identifiants

  • HAL Id : hal-00763715 , version 1

Citer

Evangeline Pollard, Michèle Rombaut, Benjamin Pannetier. Situation assessment: an end-to-end process for the detection of objects of interest. IEEE Transactions on Aerospace and Electronic Systems, 2012, 49 (4), pp.2195-2210. ⟨hal-00763715v1⟩

Collections

ONERA
294 Consultations
704 Téléchargements

Partager

Gmail Facebook X LinkedIn More