Human-machine interaction as key technology for driverless driving - A trajectory-based shared autonomy control approach

S. Gnatzig; F. Schuller; M. Lienkamp

doi:10.1109/ROMAN.2012.6343867

Human-machine interaction as key technology for driverless driving - A trajectory-based shared autonomy control approach

S. Gnatzig
, F. Schuller
, M. Lienkamp

Chair of Automotive Technology

Technical University of Munich

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

48 Scopus citations

Abstract

New mobility concepts for urban traffic will benefit from driverless driving. However, fully autonomous driving is not currently feasible in mixed urban traffic. Teleoperation with distinct human-machine interaction is required to manage such highly complex automation tasks. This work discusses the possibility of a safe and reliable approach to the teleoperated driving of road vehicles in urban environments. Based on the current state of the art, this study derives a new trajectory-based approach using the methodology of shared autonomy control. Here, control is based on automated driving along predefined paths. The study shows that trajectory-based driving is fast enough for inner-city traffic and guarantees safety in case of operator connection loss.

Original language	English
Title of host publication	2012 IEEE RO-MAN
Subtitle of host publication	The 21st IEEE International Symposium on Robot and Human Interactive Communication
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	913-918
Number of pages	6
ISBN (Print)	9781467346054
DOIs	https://doi.org/10.1109/ROMAN.2012.6343867
State	Published - 2012
Event	21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012 - Paris, France Duration: 9 Sep 2012 → 13 Sep 2012

Publication series

Name	Proceedings - IEEE International Workshop on Robot and Human Interactive Communication
ISSN (Print)	1944-9445
ISSN (Electronic)	1944-9437

Conference

Conference	21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012
Country/Territory	France
City	Paris
Period	9/09/12 → 13/09/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Access to Document

10.1109/ROMAN.2012.6343867

Cite this

Gnatzig, S., Schuller, F., & Lienkamp, M. (2012). Human-machine interaction as key technology for driverless driving - A trajectory-based shared autonomy control approach. In 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication (pp. 913-918). Article 6343867 (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROMAN.2012.6343867

Gnatzig, S. ; Schuller, F. ; Lienkamp, M. / Human-machine interaction as key technology for driverless driving - A trajectory-based shared autonomy control approach. 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication. Institute of Electrical and Electronics Engineers Inc., 2012. pp. 913-918 (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication).

@inproceedings{a76bad977f004283be36f7fda2efc99d,

title = "Human-machine interaction as key technology for driverless driving - A trajectory-based shared autonomy control approach",

abstract = "New mobility concepts for urban traffic will benefit from driverless driving. However, fully autonomous driving is not currently feasible in mixed urban traffic. Teleoperation with distinct human-machine interaction is required to manage such highly complex automation tasks. This work discusses the possibility of a safe and reliable approach to the teleoperated driving of road vehicles in urban environments. Based on the current state of the art, this study derives a new trajectory-based approach using the methodology of shared autonomy control. Here, control is based on automated driving along predefined paths. The study shows that trajectory-based driving is fast enough for inner-city traffic and guarantees safety in case of operator connection loss.",

author = "S. Gnatzig and F. Schuller and M. Lienkamp",

year = "2012",

doi = "10.1109/ROMAN.2012.6343867",

language = "English",

isbn = "9781467346054",

series = "Proceedings - IEEE International Workshop on Robot and Human Interactive Communication",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "913--918",

booktitle = "2012 IEEE RO-MAN",

note = "21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012 ; Conference date: 09-09-2012 Through 13-09-2012",

}

Gnatzig, S, Schuller, F & Lienkamp, M 2012, Human-machine interaction as key technology for driverless driving - A trajectory-based shared autonomy control approach. in 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication., 6343867, Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, Institute of Electrical and Electronics Engineers Inc., pp. 913-918, 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012, Paris, France, 9/09/12. https://doi.org/10.1109/ROMAN.2012.6343867

Human-machine interaction as key technology for driverless driving - A trajectory-based shared autonomy control approach. / Gnatzig, S.; Schuller, F.; Lienkamp, M.
2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication. Institute of Electrical and Electronics Engineers Inc., 2012. p. 913-918 6343867 (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication).

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

TY - GEN

T1 - Human-machine interaction as key technology for driverless driving - A trajectory-based shared autonomy control approach

AU - Gnatzig, S.

AU - Schuller, F.

AU - Lienkamp, M.

PY - 2012

Y1 - 2012

N2 - New mobility concepts for urban traffic will benefit from driverless driving. However, fully autonomous driving is not currently feasible in mixed urban traffic. Teleoperation with distinct human-machine interaction is required to manage such highly complex automation tasks. This work discusses the possibility of a safe and reliable approach to the teleoperated driving of road vehicles in urban environments. Based on the current state of the art, this study derives a new trajectory-based approach using the methodology of shared autonomy control. Here, control is based on automated driving along predefined paths. The study shows that trajectory-based driving is fast enough for inner-city traffic and guarantees safety in case of operator connection loss.

AB - New mobility concepts for urban traffic will benefit from driverless driving. However, fully autonomous driving is not currently feasible in mixed urban traffic. Teleoperation with distinct human-machine interaction is required to manage such highly complex automation tasks. This work discusses the possibility of a safe and reliable approach to the teleoperated driving of road vehicles in urban environments. Based on the current state of the art, this study derives a new trajectory-based approach using the methodology of shared autonomy control. Here, control is based on automated driving along predefined paths. The study shows that trajectory-based driving is fast enough for inner-city traffic and guarantees safety in case of operator connection loss.

UR - https://www.scopus.com/pages/publications/84870825079

U2 - 10.1109/ROMAN.2012.6343867

DO - 10.1109/ROMAN.2012.6343867

M3 - Conference contribution

AN - SCOPUS:84870825079

SN - 9781467346054

T3 - Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

SP - 913

EP - 918

BT - 2012 IEEE RO-MAN

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012

Y2 - 9 September 2012 through 13 September 2012

ER -

Gnatzig S, Schuller F, Lienkamp M. Human-machine interaction as key technology for driverless driving - A trajectory-based shared autonomy control approach. In 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication. Institute of Electrical and Electronics Engineers Inc. 2012. p. 913-918. 6343867. (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication). doi: 10.1109/ROMAN.2012.6343867

Human-machine interaction as key technology for driverless driving - A trajectory-based shared autonomy control approach

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this