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Zawartość zarchiwizowana w dniu 2024-06-18

Highly Automated Vehicles for Intelligent Transport

Opis projektu


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.

Dziedzina nauki (EuroSciVoc)

Klasyfikacja projektów w serwisie CORDIS opiera się na wielojęzycznej taksonomii EuroSciVoc, obejmującej wszystkie dziedziny nauki, w oparciu o półautomatyczny proces bazujący na technikach przetwarzania języka naturalnego. Więcej informacji: https://op.europa.eu/pl/web/eu-vocabularies/euroscivoc.

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Program(-y)

Wieloletnie programy finansowania, które określają priorytety Unii Europejskiej w obszarach badań naukowych i innowacji.

Temat(-y)

Zaproszenia do składania wniosków dzielą się na tematy. Każdy temat określa wybrany obszar lub wybrane zagadnienie, których powinny dotyczyć wnioski składane przez wnioskodawców. Opis tematu obejmuje jego szczegółowy zakres i oczekiwane oddziaływanie finansowanego projektu.

Zaproszenie do składania wniosków

Procedura zapraszania wnioskodawców do składania wniosków projektowych w celu uzyskania finansowania ze środków Unii Europejskiej.

FP7-ICT-2007-1
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System finansowania

Program finansowania (lub „rodzaj działania”) realizowany w ramach programu o wspólnych cechach. Określa zakres finansowania, stawkę zwrotu kosztów, szczegółowe kryteria oceny kwalifikowalności kosztów w celu ich finansowania oraz stosowanie uproszczonych form rozliczania kosztów, takich jak rozliczanie ryczałtowe.

CP - Collaborative project (generic)

Koordynator

CONTINENTAL AUTOMOTIVE GMBH
Wkład UE
€ 4 422 353,00
Adres
VAHRENWALDER STRASSE 9
30165 HANNOVER
Niemcy

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Region
Niedersachsen Hannover Region Hannover
Rodzaj działalności
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Linki
Koszt całkowity

Ogół kosztów poniesionych przez organizację w związku z uczestnictwem w projekcie. Obejmuje koszty bezpośrednie i pośrednie. Kwota stanowi część całkowitego budżetu projektu.

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