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Record W3140806113

3 - Le projet VAHM (Véhicule Autonome pour Handicapés Moteur): la localisation

2000· article· fr· W3140806113 on OpenAlexvenueno aff
Courcelle, Kreutner

Bibliographic record

VenueTraitement du signal · 2000
Typearticle
Languagefr
FieldComputer Science
TopicGaze Tracking and Assistive Technology
Canadian institutionsnot available
Fundersnot available
KeywordsWheelchairOdometryComputer scienceOrientation (vector space)Disabled peopleMatching (statistics)Ultrasonic sensorPosition (finance)GridSimulationComputer visionArtificial intelligenceEngineeringControl engineeringMobile robotRobotPhysical medicine and rehabilitationMathematicsCerebral palsyAcoustics
DOInot available

Abstract

fetched live from OpenAlex

This paper describes an autonomous powered wheelchair localization method in the VAHM (Autonomous Vehicle for People with Motor Disabilities) project framework. This project aims at releasing people with heavy motor disabilities from driving wheelchair constraints by bring possibility of autonomous displacements. The wheelchair autonomy requires the achievement of localization procedure which uses the ultrasonic sensors and is split into two functions according to the state of the wheelchair: when stopped or in movement. When stopped the position of the wheelchair is searched by matching of occupancy grids. The global grid describes the environment and the local grid, built from ultrasonic data, represents the free space around the wheelchair. During the movement the ultrasonic measures are used to refine the position of the wheelchair estimated with the odometry. The tests achieved in real conditions show that the two approaches are appropriate for our application. But in dynamic location, the accuracy of the orientation is not good enough, we then give the procedure using the vision developed to improve this accuracy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.761
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.235
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2000
Admission routes1
Has abstractyes

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