About: Evaluation of Probabilistic Transformations for Evidential Data Association

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Evaluation of Probabilistic Transformations for Evidential Data Association Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Evaluation of Probabilistic Transformations for Evidential Data Association
Creator	Boumediene, Mohammed Dezert, Jean
source	PMC
abstract	Data association is one of the main tasks to achieve in perception applications. Its aim is to match the sensor detections to the known objects. To treat such issue, recent research focus on the evidential approach using belief functions, which are interpreted as an extension of the probabilistic model for reasoning about uncertainty. The data fusion process begins by quantifying sensor data by belief masses. Thereafter, these masses are combined in order to provide more accurate information. Finally, a probabilistic approximation of these combined masses is done to make-decision on associations. Several probabilistic transformations have been proposed in the literature. However, to the best of our knowledge, these transformations have been evaluated only on simulated examples. For this reason, the objective of this paper is to benchmark most of interesting probabilistic transformations on real-data in order to evaluate their performances for the autonomous vehicle perception problematic.
has issue date	2020-05-15(xsd:dateTime)
bibo:doi	10.1007/978-3-030-50143-3_24
has license	no-cc
sha1sum (hex)	d67b69718d53a8948267721cf8db8e32a45a30f0
schema:url	https://doi.org/10.1007/978-3-030-50143-3_24
resource representing a document's title	Evaluation of Probabilistic Transformations for Evidential Data Association
has PubMed Central identifier	PMC7274716
schema:publication	Information Processing and Management of Uncertainty in Knowledge-Based Systems
resource representing a document's body	covid:d67b69718d53a8948267721cf8db8e32a45a30f0#body_text
is schema:about of	named entity 'However' named entity 'process' named entity 'Evaluation' named entity 'LITERATURE' named entity 'ASSOCIATIONS' named entity 'ORDER' named entity 'ASSOCIATION' named entity 'RECENT' named entity 'AUTONOMOUS VEHICLE' named entity 'FUNCTIONS' named entity 'EXTENSION OF' named entity 'THESE' named entity 'APPLICATIONS' named entity 'PERCEPTION' named entity 'PROPOSED' named entity 'PROBLEMATIC' named entity 'problematic' named entity 'uncertainty' named entity 'masses' named entity 'masses' named entity 'probabilistic model' named entity 'sensor' named entity 'Evidential' named entity 'probabilistic model' named entity 'autonomous vehicle' named entity 'Euclidean distance' named entity 'set of all subsets' named entity 'Kalman' named entity 'data fusion' named entity 'global optimization' named entity 'Bayesian theory' named entity 'bounding box' named entity 'cardinality' named entity 'probability' named entity 'belief functions' named entity 'Probability' named entity 'Nearest Neighbor' named entity '0.9' named entity 'data source' named entity 'optimization strategy' named entity 'standard deviation' named entity 'theoretical framework' named entity 'cardinality' named entity 'Probability' named entity 'belief functions' named entity 'standard deviation' named entity 'weighted average' named entity 'autonomous vehicle' named entity 'Bayesian' named entity 'Probability' named entity 'frame of discernment' named entity 'bba' named entity 'standard deviation' named entity 'prior knowledge' named entity 'autonomous vehicle' named entity 'data fusion' named entity 'algorithm' named entity 'basic belief' named entity 'autonomous vehicle' named entity 'JPP' named entity 'probability measure' named entity 'standard deviation' named entity 'global optimization' named entity 'sensor' named entity 'epistemic uncertainty' named entity 'decision-making' named entity 'probability measure' named entity 'standard deviation' named entity 'subset' named entity 'probability measure' named entity 'bba' named entity 'decision-making' named entity 'public database' named entity 'computational time' named entity 'disjunction' named entity 'Dempster's rule of combination' named entity 'make a decision' named entity 'Bayesian theory' named entity 'belief functions' named entity 'index of similarity' named entity 'H j' named entity 'probability'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software