
Valeo Vision
Valeo Vision
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10 Projects, page 1 of 2
assignment_turned_in ProjectPartners:UCA, Laboratoire d'Ecologie, Systématique et Evolution, Valeo Vision, REGIENOV GIE, INRIA EMOTION +1 partnersUCA,Laboratoire d'Ecologie, Systématique et Evolution,Valeo Vision,REGIENOV GIE,INRIA EMOTION,CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE - DELEGATION REGIONALE NORD-PAS-DE-CALAIS ET PICARDIEFunder: French National Research Agency (ANR) Project Code: ANR-05-PDIT-0022LOVE : Logiciel d'Observation des Vulnérables. LOVe a pour objet le développement de logiciels fiables et sûrs pour l'observation (détection, localisation, classification, risque) des vulnérables en vue de leurs implémentation effective, par les industriels, dans une application d'assistance à visé sécuritaire.
more_vert Open Access Mandate for Publications assignment_turned_in Project2021 - 2025Partners:HYUNDAI MOTOR EUROPE TECHNICAL CENTER GMBH, VeDeCoM Institute, DLR, Robert Bosch (Germany), AUDI +38 partnersHYUNDAI MOTOR EUROPE TECHNICAL CENTER GMBH,VeDeCoM Institute,DLR,Robert Bosch (Germany),AUDI,BMW (Germany),BMW Group (Germany),Ford (Germany),Seat (Spain),BASt,ZENSEACT AB,DELPHI DE,FEV IO GMBH,Volvo Cars,RWTH,Valeo Vision,Goa University,TU Delft,SNF AS,CRF,University of Warwick,VOLVO TECHNOLOGY AB,VW AG,RENAULT SAS,EICT,Chalmers University of Technology,PTV Group (Germany),COMMSIGNIA Kft.,TEKNOLOGIAN TUTKIMUSKESKUS VTT OY,University of Leeds,AUTOMOTIVE ARTIFICIAL INTELLIGENCE(AAI) GMBH,FEV EUROPE GMBH,ICCS,WIVW,TUV SUD RAIL GMBH,STLA Auto,HRE-G,CTAG,TME,NNG SZOFTVERFEJLESZTO ES KERESKEDELMI KFT,AIACR,INTERNATIONALER STRASSENVERBAND FEDERATION ROUTIERE INTERNATIONALE IRF,TNOFunder: European Commission Project Code: 101006664Overall Budget: 36,973,400 EURFunder Contribution: 30,000,000 EURHi-Drive addresses a number of key challenges which are currently hindering the progress of developments in vehicle automation. The key aim of the project is to focus on testing and demonstrating automated driving, by improving intelligent vehicle technologies, to cover a large set of traffic environments, not currently achievable. Hi-Drive enables testing of a variety of functionalities, from motorway chauffeur to urban chauffeur, explored in diverse scenarios with heterogeneous driving cultures across Europe. In particular, the Hi-Drive trials will consider European TEN-T corridors and urban nodes in large and medium cities, with a specific attention to demanding, error-prone, conditions. The project’s ambition is to considerably extend the operational design domain (ODD) from the present situation, which frequently demands interventions from the human driver. Therefore, the project concept builds on reaching a widespread and continuous ODD, where automation can operate for longer periods and interoperability is assured across borders and brands. The project also investigates what factors influence user behavior and acceptance, as well as understanding the needs of other road users interacting with these vehicles. The removal of fragmentation in the ODD is expected to give rise to a gradual transition from a conditional operation towards higher levels of automated driving. With these aims, Hi-Drive associates a consortium of 41 European partners with a wide range of interests and capabilities covering the main impact areas which affect users, and the transport system, and enhance societal benefits. The project intends to contribute towards market deployment of automated systems by 2030. All this cannot be achieved by testing only. Accordingly, the work includes outreach activities on business innovation and standardization, plus extended networking with the interested stakeholders, coordinating parallel activities in Europe and overseas.
more_vert assignment_turned_in ProjectFrom 2008Partners:Valeo Vision, INTEMPORA SA, INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE - (INRIA Siège), ARMINESValeo Vision,INTEMPORA SA,INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE - (INRIA Siège),ARMINESFunder: French National Research Agency (ANR) Project Code: ANR-07-TSFA-0014Funder Contribution: 941,304 EURmore_vert assignment_turned_in ProjectFrom 2009Partners:ARMINES, Valeo Vision, IFSTTARARMINES,Valeo Vision,IFSTTARFunder: French National Research Agency (ANR) Project Code: ANR-08-VPTT-0008Funder Contribution: 681,464 EURmore_vert Open Access Mandate for Publications assignment_turned_in Project2017 - 2020Partners:Infineon Technologies (Austria), University of Surrey, LINKKER OY, VIF, AVL +8 partnersInfineon Technologies (Austria),University of Surrey,LINKKER OY,VIF,AVL,CISC Semiconductor (Austria),Valeo Vision,TOFAS,TEKNOLOGIAN TUTKIMUSKESKUS VTT OY,IDEAS & MOTION SRL,FORD OTOMOTIV SANAYI ANONIM SIRKETI,Volvo Cars,Infineon Technologies (Germany)Funder: European Commission Project Code: 723324Overall Budget: 4,998,900 EURFunder Contribution: 4,998,900 EURAutomated driving can be implemented with relatively simple controllers if the current location of the ego vehicle and the current and future locations of other road users are known without uncertainty. However, this is not going to happen in the initial stages of the introduction of automated driving systems into the market. As a consequence, system and human driver uncertainty pose a significant challenge in the development of trustable and fault-tolerant automated driving controllers, especially for conditional automation (SAE level 3) in mixed traffic scenarios. The TrustVehicle consortium brings together participants from the whole vehicle value chain to enhance safety and user-friendliness of level 3 automated driving systems. The main objectives are: (i) the systematic identification of critical road scenarios based on in-depth analysis of possible traffic situations and human behaviour; (ii) the setup of new tools for the cost- and time-effective assessment of driver-in/off-the-loop situations; (iii) design of controllers and sensor fusion systems capable of dealing with complex, uncertain and variable road scenarios to enhance road safety; (iv) the implementation of intuitive human-machine interfaces for the safe management of the transition phases taking into account user acceptance and gender-specific aspects; and (iv) the establishment of an adaptive and agile vehicle validation based on self-diagnostics and data logging to steadily extend the list of relevant scenarios and test cases. The outputs of the TrustVehicle project will be extensively assessed in real-world operating conditions on four demonstrators representing four vehicle classes. End users of the technology will systematically and thoroughly express their requirements, expectations, and concerns during the consortium activity. Special focus will be put on the demonstration of the fault-tolerant and fail-operational system behaviour at any time and for different kinds of weather conditions.
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