Conventionalized gestures for the interaction of people in traffic with autonomous vehicles

被引:17
作者
Gupta, Surabhi [1 ]
Vasardani, Maria [1 ]
Winter, Stephan [1 ]
机构
[1] Univ Melbourne, Dept Infrastruct Engn, Melbourne, Vic 3010, Australia
来源
PROCEEDINGS OF THE 9TH ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON COMPUTATIONAL TRANSPORTATION SCIENCE (IWCTS 2016) | 2016年
关键词
autonomous vehicle; human-computer interaction; gestures;
D O I
10.1145/3003965.3003967
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The first autonomous vehicles are already tested in the public traffic. The rapid development in bringing this technology on roads attracts growing attention of research in the human interaction with autonomous vehicles. This paper focuses on the interaction of other road users with autonomous vehicles. These road users may be pedestrians who negotiate their right of way, other human drivers sharing the same road, or human traffic control officers. In order to learn about these road users in general, this paper aims to identify first the formalized hand signals applied by officers. The paper answers the question whether there is a general and universal language to interact with traffic. If so, then future work can identify elements of this universal language in the gestures of other road users, and facilitate an understanding between them and autonomous vehicles.
引用
收藏
页码:55 / 60
页数:6
相关论文
共 27 条
[1]   Intent Inference for Hand Pointing Gesture-Based Interactions in Vehicles [J].
Ahmad, Bashar I. ;
Murphy, James K. ;
Langdon, Patrick M. ;
Godsill, Simon J. ;
Hardy, Robert ;
Skrypchuk, Lee .
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 46 (04) :878-889
[2]  
[Anonymous], 1977, The Ecological Approach to Visual Perception
[3]  
[Anonymous], 2012, P 4 INT C AUT US INT
[4]  
Bach KM, 2008, CHI 2008: 26TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS VOLS 1 AND 2, CONFERENCE PROCEEDINGS, P1139
[5]  
Billinghurst M., 2011, GESTURE BASED INTERA, P1
[6]   A real-time Human-Robot Interaction system based on gestures for assistive scenarios [J].
Canal, Gerard ;
Escalera, Sergio ;
Angulo, Cecilio .
COMPUTER VISION AND IMAGE UNDERSTANDING, 2016, 149 :65-77
[7]  
Damiani S., 2009, European Transport Research Review, P87, DOI DOI 10.1007/S12544-009-0009-2
[8]  
Delp M. J., 2016, Patent US, Patent No. [20160144867 A1, 20160144867]
[9]  
Ekman P., 1969, Semiotica, V1, P49, DOI DOI 10.1515/SEMI.1969.1.1.49
[10]   Human-robot interaction: A survey [J].
Brigham Young University, Provo, UT 84602, United States ;
不详 .
Found. Trends Human-Comput. Interact., 2007, 3 (203-275)