TrustVehicle -- Improved Trustworthiness and Weather-Independence of Conditionally Automated Vehicles in Mixed Traffic Scenarios

Pamela Innerwinkler; Ahu Ece Hartavi Karci; Mikko Tarkiainen; Micaela Troglia; Emrah Kinav; Berzah Ozan; Eren Aydemir; Cihangir Derse; Georg Stettinger; Daniel Watzenig; Sami Sahimäki; Norbert Druml; Caterina Nahler; Steffen Metzner; Sajin Gopi; Philipp Clement; Georg Macher; Johan Zaya; Riccardo Groppo; Samia Ahiad

TrustVehicle -- Improved Trustworthiness and Weather-Independence of Conditionally Automated Vehicles in Mixed Traffic Scenarios

Pamela Innerwinkler, Ahu Ece Hartavi Karci, Mikko Tarkiainen, Micaela Troglia, Emrah Kinav, Berzah Ozan, Eren Aydemir, Cihangir Derse, Georg Stettinger, Daniel Watzenig, Sami Sahimäki, Norbert Druml, Caterina Nahler, Steffen Metzner, Sajin Gopi, Philipp Clement, Georg Macher, Johan Zaya, Riccardo Groppo, Samia Ahiad

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

The introduction of automated vehicles to the market raises various questions and problems. One of those problems is the trustworthiness of the automated systems and in this connection the user's perception and acceptance. The user's perception is especially important during SAE level 3 automated driving (L3AD), where the driver has to be able to resume vehicle control, and during the initial deployment of automated systems, where mixed traffic situations occur, in which automated and human-driven vehicles share the same road space. The Horizon 2020 project TrustVehicle aims at investigating critical scenarios, especially in mixed traffic situations and under harsh weather conditions, and at improving the trustworthiness and availability of L3AD functionalities through a user-centric approach.

Original language	English
Title of host publication	Advanced Microsystems for Automotive Applications 2018
Editors	Jörg Dubbert, Beate Müller, Gereon Meyer
Place of Publication	Cham
Publisher	Springer International Publishing AG
Pages	75-89
Number of pages	15
ISBN (Print)	978-3-319-99762-9
Publication status	Published - 2018

Cite this

Innerwinkler, P., Karci, A. E. H., Tarkiainen, M., Troglia, M., Kinav, E., Ozan, B., Aydemir, E., Derse, C., Stettinger, G., Watzenig, D., Sahimäki, S., Druml, N., Nahler, C., Metzner, S., Gopi, S., Clement, P., Macher, G., Zaya, J., Groppo, R., & Ahiad, S. (2018). TrustVehicle -- Improved Trustworthiness and Weather-Independence of Conditionally Automated Vehicles in Mixed Traffic Scenarios. In J. Dubbert, B. Müller, & G. Meyer (Eds.), Advanced Microsystems for Automotive Applications 2018 (pp. 75-89). Springer International Publishing AG .

TrustVehicle -- Improved Trustworthiness and Weather-Independence of Conditionally Automated Vehicles in Mixed Traffic Scenarios. / Innerwinkler, Pamela; Karci, Ahu Ece Hartavi; Tarkiainen, Mikko et al.
Advanced Microsystems for Automotive Applications 2018. ed. / Jörg Dubbert; Beate Müller; Gereon Meyer. Cham: Springer International Publishing AG , 2018. p. 75-89.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Innerwinkler, P, Karci, AEH, Tarkiainen, M, Troglia, M, Kinav, E, Ozan, B, Aydemir, E, Derse, C, Stettinger, G, Watzenig, D, Sahimäki, S, Druml, N, Nahler, C, Metzner, S, Gopi, S, Clement, P, Macher, G, Zaya, J, Groppo, R & Ahiad, S 2018, TrustVehicle -- Improved Trustworthiness and Weather-Independence of Conditionally Automated Vehicles in Mixed Traffic Scenarios. in J Dubbert, B Müller & G Meyer (eds), Advanced Microsystems for Automotive Applications 2018. Springer International Publishing AG , Cham, pp. 75-89.

Innerwinkler, Pamela ; Karci, Ahu Ece Hartavi ; Tarkiainen, Mikko et al. / TrustVehicle -- Improved Trustworthiness and Weather-Independence of Conditionally Automated Vehicles in Mixed Traffic Scenarios. Advanced Microsystems for Automotive Applications 2018. editor / Jörg Dubbert ; Beate Müller ; Gereon Meyer. Cham : Springer International Publishing AG , 2018. pp. 75-89

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abstract = "The introduction of automated vehicles to the market raises various questions and problems. One of those problems is the trustworthiness of the automated systems and in this connection the user's perception and acceptance. The user's perception is especially important during SAE level 3 automated driving (L3AD), where the driver has to be able to resume vehicle control, and during the initial deployment of automated systems, where mixed traffic situations occur, in which automated and human-driven vehicles share the same road space. The Horizon 2020 project TrustVehicle aims at investigating critical scenarios, especially in mixed traffic situations and under harsh weather conditions, and at improving the trustworthiness and availability of L3AD functionalities through a user-centric approach.",

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AU - Troglia, Micaela

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AU - Druml, Norbert

AU - Nahler, Caterina

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AU - Zaya, Johan

AU - Groppo, Riccardo

AU - Ahiad, Samia

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AB - The introduction of automated vehicles to the market raises various questions and problems. One of those problems is the trustworthiness of the automated systems and in this connection the user's perception and acceptance. The user's perception is especially important during SAE level 3 automated driving (L3AD), where the driver has to be able to resume vehicle control, and during the initial deployment of automated systems, where mixed traffic situations occur, in which automated and human-driven vehicles share the same road space. The Horizon 2020 project TrustVehicle aims at investigating critical scenarios, especially in mixed traffic situations and under harsh weather conditions, and at improving the trustworthiness and availability of L3AD functionalities through a user-centric approach.

M3 - Conference paper

SN - 978-3-319-99762-9

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BT - Advanced Microsystems for Automotive Applications 2018

A2 - Dubbert, Jörg

A2 - Müller, Beate

A2 - Meyer, Gereon

PB - Springer International Publishing AG

CY - Cham

ER -

TrustVehicle -- Improved Trustworthiness and Weather-Independence of Conditionally Automated Vehicles in Mixed Traffic Scenarios

Abstract

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