Control Transition Workshop: Handover and Takeover Procedures in Highly Automated Driving

被引：7

作者：

Borojeni, Shadan Sadeghian ^{[1
]}

Meschtscherjakov, Alexander ^{[2
]}

Mirnig, Alexander G. ^{[2
]}

Boll, Susanne ^{[3
]}

Naujoks, Frederik ^{[4
]}

Politis, Ioannis ^{[5
]}

Alverez, Ignacio ^{[6
]}

机构：

[1] OFFIS Inst Informat Technol, Interact Syst Grp, Oldenburg, Germany

[2] Univ Salzburg, Ctr HCI, A-5020 Salzburg, Austria

[3] Carl von Ossietzky Univ Oldenburg, Media Informat & Multimedia Syst, Oldenburg, Germany

[4] Wuerzburg Inst Traff Sci, D-97209 Veitshoechheim, Germany

[5] Univ Cambridge, Engn Design Ctr, Trumpington St, Cambridge CB2 1PZ, England

[6] Intel Labs, Hillsboro, OR USA

来源：

AUTOMOTIVEUI'17: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS | 2017年

基金：

英国工程与自然科学研究理事会;

关键词：

Automated driving; handover; takeover;

D O I：

10.1145/3131726.3131732

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This workshop focuses on the problem of designing effective control transition interfaces in highly automated vehicles. This includes the handover of control from the driver to the autonomous vehicle, as well as takeover procedures from the vehicle to the driver. The workshop aims at consolidating existing knowledge and identifying remaining issues together with paths towards resolving these issues. Concrete focus points concern tasks and actors involved, presentation modalities, gradual versus sudden transition requests, situation and driving mode awareness, the temporal dimension, and engagement in driving and non-driving tasks.

引用

页码：39 / 46

页数：8

共 50 条

[1] Familiarity and Complexity during a Takeover in Highly Automated Driving
Marlene Susanne Lisa Scharfe-Scherf
Nele Russwinkel
[J]. International Journal of Intelligent Transportation Systems Research, 2021, 19 : 525 - 538
[2] Familiarity and Complexity during a Takeover in Highly Automated Driving
Scharfe-Scherf, Marlene Susanne Lisa
Russwinkel, Nele
[J]. INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH, 2021, 19 (03) : 525 - 538
[3] Olfactory Facilitation of Takeover Performance in Highly Automated Driving
Tang, Qiuyang
Guo, Gang
Zhang, Zijian
Zhang, Bingbing
Wu, Yingzhang
[J]. HUMAN FACTORS, 2021, 63 (04) : 553 - 564
[4] Coordination of Takeover Maneuvers in Highly Automated Driving Considering Driver Availability
Albers, Franz
Nobari, Khazar Dargahi
Braun, Jan
Bartsch, Katharina
Bertram, Torsten
[J]. FORSCHUNG IM INGENIEURWESEN-ENGINEERING RESEARCH, 2022, 86 (01): : 35 - 48
[5] Sleep in highly automated driving: Takeover performance after waking up
Woerle, Johanna
Metz, Barbara
Othersen, Ina
Baumann, Martin
[J]. ACCIDENT ANALYSIS AND PREVENTION, 2020, 144
[6] Investigating the effects of age and disengagement in driving on driver's takeover control performance in highly automated vehicles
Li, Shuo
Blythe, Phil
Guo, Weihong
Namdeo, Anil
[J]. TRANSPORTATION PLANNING AND TECHNOLOGY, 2019, 42 (05) : 470 - 497
[7] Non-driving-related tasks, workload, and takeover performance in highly automated driving contexts
Yoon, Sol Hee
Ji, Yong Gu
[J]. TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2019, 60 : 620 - 631
[8] Effects of Non-Driving Related Task Modalities on Takeover Performance in Highly Automated Driving
Wandtner, Bernhard
Schoemig, Nadja
Schmidt, Gerald
[J]. HUMAN FACTORS, 2018, 60 (06) : 870 - 881
[9] The Research of Multilevel Takeover Alert Information Design for Highly Automated Driving Vehicles
Jiang, Lijun
Cao, Simin
Li, Zhelin
Zhang, Yu
Zhang, Zequan
[J]. MAN-MACHINE-ENVIRONMENT SYSTEM ENGINEERING (MMESE 2019), 2020, 576 : 377 - 384
[10] Research on Game Incentive Strategy Design of Highly Automated Driving Takeover System
Li, Zhelin
Jiang, Shanxiao
Zhang, Yu
Jiang, Lijun
Li, Xiaohua
Xiong, Zhiyong
[J]. INTELLIGENT HUMAN SYSTEMS INTEGRATION 2019, 2019, 903 : 582 - 588

← 1 2 3 4 5 →