People | Locations | Statistics |
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Ziakopoulos, Apostolos | Athens |
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Vigliani, Alessandro | Turin |
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Catani, Jacopo | Rome |
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Statheros, Thomas | Stevenage |
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Utriainen, Roni | Tampere |
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Guglieri, Giorgio | Turin |
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Martínez Sánchez, Joaquín |
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Tobolar, Jakub |
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Volodarets, M. |
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Piwowar, Piotr |
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Tennoy, Aud | Oslo |
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Matos, Ana Rita |
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Cicevic, Svetlana |
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Sommer, Carsten | Kassel |
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Liu, Meiqi |
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Pirdavani, Ali | Hasselt |
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Niklaß, Malte |
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Lima, Pedro | Braga |
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Turunen, Anu W. |
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Antunes, Carlos Henggeler |
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Krasnov, Oleg A. |
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Lopes, Joao P. |
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Turan, Osman |
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Lučanin, Vojkan | Belgrade |
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Tanaskovic, Jovan |
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Belaroussi, Rachid
Université Gustave Eiffel
in Cooperation with on an Cooperation-Score of 37%
Topics
- perception
- mobility pattern
- computer science
- city
- estimate
- traveller
- agent-based modeling
- simulation
- behavior
- decision support system
- implementation
- design
- intelligence
- artificial intelligence
- experiment
- travel
- neighborhood
- image processing
- transport demand
- managerial personnel
- multi-agent transport simulation
- multi-agent system
- future mobility
- data
- planning
- modeling
- train consist
- employed
- chain
- synthetic
- constraint
- bottleneck
- travel time
- education
- travel distance
- trip length
- choice model
- shopping
- restaurant
- census
- activity choice
- driver
- driving behavior
- road
- learning
- deep learning
- demand-modeling
- physics
- engineering
- city planning
- base line
- shopping facility
- layout
- urban development
- construction project
- suburb
- assessment
- driving
- algorithm
- safety
- estimating
- vision
- automobile industry
- road marking
- submarine
- filter
- geographic information system
- driver support system
- market
- camera
- positioning
- sensor
- position fixing
- digital map
- modernization
- test track
- autonomous automobile
- odometer
- computer operating system
- lateral placement
- theory
- tracking system
- abstract
- intelligent vehicle
- computer vision
- global positioning system
- lane line
- radar
- autonomous vehicle
- industry
- control device
- visualisation
- map
- traffic lane
- machinery
- architecture
- face
- law
- interface
- electronic control
- reconstruction
- real time control
- electronic controller
- embedded system
- library
- machine vision
- crash
- fog
- weather condition
- traffic speed
- visibility
- traffic sign
- detector
- vehicle
- density
- highway safety
- highway
- hazard
- software
- security
- information system
- computer security
- data fusion
- speeding
- dead reckoning
- noise
- database
- weather
- additive
- sight distance
- laser
- video
- validation
- supervisor
- scanner
- definition
- intersection
- connectivity
- tangent
- human being
- lighting
- skin
- ellipse
- reconnaissance
- vehicle dynamic
- snow
- case study
- vehicle safety
- signalisation
- radial
- symmetry
- automobile
- cartography
- optimisation
- triangle
- circle
- pedestrian
- crosswalk
- show 128 more
Publications (25/25 displayed)
- 2021Multi-Agent Activity-Based Simulation of a Future Neighborhood
- 2021Modeling Activity-Time to Build Realistic Plannings in Population Synthesis in a Suburban Areacitations
- 2020Analysis of Road-User Interaction by Extraction of Driver Behavior Features Using Deep Learningcitations
- 2020Activity-Based Demand Modeling for a Future Urban Districtcitations
- 2016Accurate lateral positioning from map data and road marking detection
- 2016Multi-Hypotheses Tracking using the Dempster-Shafer Theory. Application to ambiguous road context.
- 2015Accurate lateral positioning from map data and road marking detectioncitations
- 2015PerSEE: a Central Fusion Sensors Electronic Control Unit for the development of perception-based ADAScitations
- 2015Road Sign-Aided Estimation of Visibility Conditionscitations
- 2015Convergence of a Traffic Signs-based Fog Density Model
- 2014How to manage conflict and ambiguities in localization and map matchingcitations
- 2014Map-Aided Localization with Lateral Perception
- 2014Impact of Reduced Visibility from Fog on Traffic Sign Detection
- 2014How to Manage Conflict and Ambiguities in Localization and Map Matching?
- 2013Target-to-Track Collaborative Association Combining a Laser Scanner and a Cameracitations
- 2013Vehicle detection and tracking by collaborative fusion between laser scanner and camera
- 2012Robust 2D Location of Interest Points by Accumulation
- 2012A comparative study on face detection and tracking algorithms
- 2011Vehicle Attitude Estimation in Adverse Weather Conditions using a Camera, a GPS and a 3D road Map
- 2010Road Sign Detection in Images : A Case Study
- 2010Assistance à la navigation automobile par temps de brouillard, In Projet DIVAS
- 2010Modèle géométrique du sommet et de la bissectrice d'un angle pour la détection de panneaux triangulaires
- 2010Détection des panneaux de signalisation routière par accumulation bivariée
- 2009A Real-Time Road Sign Detection Using Bilateral Chinese Transform
- 2009Angle Vertex and Bisector Geometric Model for Triangular Road Sign Detection
Places of action
document
Assistance à la navigation automobile par temps de brouillard, In Projet DIVAS
Abstract
Par temps de brouillard, la conduite est problématique à cause de la distance de visibilité qui se trouve fortement réduite. Pour assister le conducteur, nous travaillons sur des méthodes d'estimation de la distance de visibilité météorologique par caméra embarquée. Cela permet d'adapter la vitesse du véhicule, mais également de construire des aides à la navigation. Dans une première partie, nous montrons comment estimer la distance de visibilité atmosphérique et détecter la chaussée devant le véhicule pour estimer ce que l'on appelle l'espace navigable. Dans une deuxième partie, nous montrons comment projeter, dans les images, une cartographie 3D préexistante de la route dans l'image pour obtenir directement l'espace navigable grâce à une estimation en ligne de la transformation géométrique entre le repère de la scène et celui de l'image. Under foggy weather, driving is problematic due to a reduced visibility distance. To help the driver, we have developed methods to estimate the meteorological visibility distance thanks to the processing of images grabbed by an onboard camera. This allows adapting the speed of the vehicle, but also building new driver assistances. In a first part, we show how to estimate the meteorological visibility distance and to detect the road in front in the vehicle, so as to segment the free space area. In a second part, we show how to project, on images, an existing 3D cartography of the road thanks to an online estimation of the geometric transformation between the world frame and the camera frame.
Topics
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