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Highly Automated Vehicles for Intelligent Transport

Descrizione del progetto


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.

Campo scientifico (EuroSciVoc)

CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP. Cfr.: https://op.europa.eu/it/web/eu-vocabularies/euroscivoc.

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Coordinatore

CONTINENTAL AUTOMOTIVE GMBH
Contributo UE
€ 4 422 353,00
Indirizzo
VAHRENWALDER STRASSE 9
30165 HANNOVER
Germania

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Regione
Niedersachsen Hannover Region Hannover
Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Ultimo aggiornamento: 25 Maggio 2022

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Permalink: https://cordis.europa.eu/project/id/212154/it

European Union, 2025

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