Project description
ICT for Intelligent Vehicles and Mobility Services
The groundbreaking HAVEit proposal aims at the long-term vision of highly automated driving. Within this proposal important intermediate steps will be developed, validated and demonstrated. These intermediate results on the one hand offer high potential for exploitation within 3-5 years after HAVEit and on the other hand form the ideal basis to integrate further next generation ADAS (highly automated functionalities) by adding software modules.HAVEit will significantly contribute to higher traffic safety and efficiency for both passenger cars and trucks, thereby strongly promoting safe and intelligent mobility of both people and goods. The strong HAVEit safety and efficiency impact will be generated by three measures:(i) By optimizing the task repartition between driver and co-driving system (ADAS) in the joint system. As 95% of all accidents are caused by driver mistakes, it is very important to ensure the driver is in the loop when required to make sure he or she is able to react properly in a potentially critical situation. Within HAVEit a radically new approach will be developed: Instead of just switching off an ADAS system in case of an impending potentially critical situation, a step-by-step-approach will be used to transfer the driving task back from the automated system to the driver. (ii) By further developing and implementing the failure tolerant, safe vehicle architecture including advanced redundancy management (from the SPARC predecessor project) to suit the needs of highly automated vehicle applications and to arrive at higher system availability and reliability.(iii) By developing and validating next generation ADAS directed towards higher level of automation compared to the current state of the art: HAVEit integrates 7 cutting edge highly automated vehicle applications for both passenger cars and trucks, e.g. automated assistance in roadworks, automated queue assistance, temporary autopilot, active green driving.
The path-breaking HAVEit proposal aims at the long-term vision of highly automated driving. Within this proposal important intermediate steps will be developed, validated and demonstrated. These intermediate results on the one hand offer high potential for exploitation within 3-5 years after HAVEit and on the other hand form the ideal basis to integrate further next generation ADAS (highly automated functionalities) by adding software modules.
HAVEit will significantly contribute to higher traffic safety and efficiency for both passenger cars and trucks, thereby strongly promoting safe and intelligent mobility of both people and goods. The strong HAVEit safety and efficiency impact will be generated by three measures:
(i) By optimizing the task repartition between driver and co-driving system (ADAS) in the joint system. As 95% of all accidents are caused by driver mistakes, it is very important to ensure the driver is in the loop when required to make sure he or she is able to react properly in a potentially critical situation. Within HAVEit a radically new approach will be developed: Instead of just switching off an ADAS system in case of an impending potentially critical situation, a step-by-step-approach will be used to transfer the driving task back from the automated system to the driver.
(ii) By further developing and implementing the failure tolerant, safe vehicle architecture including advanced redundancy management (from the SPARC predecessor project) to suit the needs of highly automated vehicle applications and to arrive at higher system availability and reliability.
(iii) By developing and validating next generation ADAS directed towards higher level of automation compared to the current state of the art: HAVEit integrates 7 cutting edge highly automated vehicle applications for both passenger cars and trucks, e.g. automated assistance in roadworks, automated queue assistance, temporary autopilot, active green driving.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering control systems
- social sciences sociology industrial relations automation
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-ICT-2007-1
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
30165 HANNOVER
Germany
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Participants (28)
8045 GRAZ
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1802 CORSEAUX
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1015 Lausanne
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51147 KOLN
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70174 Stuttgart
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38440 Wolfsburg
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70188 Stuttgart
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78462 KONSTANZ
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97209 Veitshochheim
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93055 REGENSBURG
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79183 Waldkirch
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92224 Amberg
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22143 HAMBURG
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77447 MARNE LA VALLEE CEDEX 2
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75732 PARIS
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31036 Toulouse
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78153 Le Chesnay Cedex
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25520 GOUX LES USIERS
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106 82 ATHINA
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6000 KECSKEMET
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1111 Budapest
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405 08 Goteborg
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261 24 LANDSKRONA
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60488 Frankfurt Am Main
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88131 Lindau
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75272 Paris
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75272 Paris
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405 08 Goteborg
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