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
article
Accurate lateral positioning from map data and road marking detection
Abstract
Abstract We are witnessing the clash of two industries and the remaking of in-car market order, as the world of digital knowledge recently made a significant move toward the automotive industry. Mobile operating system providers are battling between each other to take over the in-vehicle entertainment and information systems, while car makers either line up behind their technology or try to keep control over the in-car experience. What is at stake is the map content and location-based services, two key enabling technologies of self-driving cars and future automotive safety systems. These content-based augmented geographic information systems (GIS) as well as Advanced Driver Assistance Systems (ADAS) require an accurate, robust, and reliable estimation of road scene attributes. Accurate localization of the vehicle is a challenging and critical task that natural GPS or classical filter (EKF) cannot reach. This paper proposes a new approach allowing us to give a first answer to the issue of accurate lateral positioning. The proposed approach is based on the fusion of 4 types of data: a GPS, a set of INS/odometer sensors, a road marking detection, and an accurate road marking map. The lateral road markings detection is done with the processing of two lateral cameras and provides an assessment of the lateral distance between the vehicle and the road borders. These information coupled with an accurate digital map of the road markings provide an efficient and reliable way to dramatically improve the localization obtained from only classical way (GPS/INS/Odometer). Moreover, the use of the road marking detection can be done only when the confidence is sufficiently high (punctual use). In fact, the vision processing and the map data can be used punctually only in order to update the classical localization algorithm. The temporary lack of vision data does not affect the quality of lateral positioning. In order to evaluate and validate this approach, a real test scenario was performed on Satory’s test track with real embedded sensors. It shows that the lateral estimation of the ego-vehicle positioning is performed with a sub-decimeter accuracy, high enough to be used in autonomous lane keeping, and land-based mobile mapping.
Topics
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