Development of Human-Machine Interface for Custom Destination Routing in Autonomous Vehicles

Yeongin Yoon; Heeseong Lee; Gwanjun Shin; Kyongsu Yi

doi:10.22680/kasa2024.16.4.006

All Issue

2024 Vol.16, Issue 4 Next Page

Development of Human-Machine Interface for Custom Destination Routing in Autonomous Vehicles 자율주행 차량의 사용자 지정 목적지 라우팅을 위한 휴먼-머신 인터페이스 구축

31 December 2024. pp. 6-13

PDF XML

Abstract

As autonomous driving technology continues to advance, there is a growing need to transition from fixed routes to user-defined destinations, allowing passengers to set their preferred routes for autonomous vehicles. In response to this demand, we have developed a robust human-machine interface (HMI) that leverages both in-vehicle and external server resources to facilitate seamless communication between users and autonomous driving systems. The conventional approach to autonomous driving predominantly relied on pre-programmed routes and maps, limiting the flexibility for passengers to select their desired destinations. In contrast, our research endeavors to empower passengers with the ability to define their route preferences using a tablet-based interface, thereby enhancing the user experience and making autonomous driving more intuitive and accommodating. This paper presents the technical details of our HMI architecture, including the connection between autonomous driving system and servers, and emphasizes the importance of security, data privacy, and real-time communication between the vehicle and servers.

Keywords

Autonomous driving(자율 주행)

Destination routing(목적지 경로 계획)

Human-Machine interface(휴먼-머신 인터페이스)

References

SAE International, 2016, "Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles," SAE Standard J3016.

M. Ding, E. Takeuchi, Y. Ishiguro, Y. Ninomiya, N. Kawaguchi, and K. Takeda, 2021, "How to Monitor Multiple Autonomous Vehicles Remotely with Few Observers: An Active Management Method," IEEE Intelligent Vehicles Symposium (IV), pp. 1168~1173.

10.1109/IV48863.2021.9575997

Mutzenich, C., Durant, S., Helman, S., and Dalton, P., 2021, "Updating Our Understanding of Situation Awareness in Relation to Remote Operators of Autonomous Vehicles," Cogn. Research 6, 9.

10.1186/s41235-021-00271-833604779PMC7892648

S. Neumeier, N. Gay, C. Dannheim, and C. Facchi, 2018, "On the Way to Autonomous Vehicles Teleoperated Driving," Automotive meets Electronics (AmE); 9th GMM-Symposium, pp. 1~6.

10.1109/ICCVE45908.2019.8965037

Saez-Perez, J., Wang, Q., Alcaraz-Calero, J.M., and Garcia-Rodriguez, J., 2023, "Design, Implementation, and Empirical Validation of a Framework for Remote Car Driving Using a Commercial Mobile Network," Sensors, 23, 1671.

10.3390/s2303167136772711PMC9920939

F. Tener and J. Lanir, 2022, "Driving from a Distance: Challenges and Guidelines for Autonomous Vehicle Teleoperation Interfaces," Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22), pp. 250:1~250:13.

10.1145/3491102.3501827

C. Tu, E. Takeuchi, A. Carballo, C. Miyajima, and K. Takeda, 2021, "Motion Analysis and Performance Improved Method for 3D LiDAR Sensor Data Compression," IEEE Transactions on Intelligent Transportation Systems, Vol. 22, No. 1, pp. 243~256.

10.1109/TITS.2019.2956066

R. -T. Juang, 2019, "The Implementation of Remote Monitoring for Autonomous Driving," 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS), pp. 53~56.

10.1109/ACIRS.2019.8935978

S. Neumeier, V. Bajpai, M. Neumeier, C. Facchi, and J. Ott, 2022, "Data Rate Reduction for Video Streams in Teleoperated Driving," in IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No. 10, pp. 19145~19160.

10.1109/TITS.2022.3171718

S. Neumeier, E. A. Walelgne, V. Bajpai, J. Ott, and C. Facchi, 2019, "Measuring the Feasibility of Teleoperated Driving in Mobile Networks," Network Traffic Measurement and Analysis Conference (TMA), pp. 113~120.

10.23919/TMA.2019.8784466

D. Schitz, S. Bao, D. Rieth, and H. Aschemann, 2021, "Shared Autonomy for Teleoperated Driving: A Real-Time Interactive Path Planning Approach," IEEE International Conference on Robotics and Automation (ICRA), pp. 999~1004.

10.1109/ICRA48506.2021.9561918

D. Schitz, G. Graf, D. Rieth, and H. Aschemann, 2021, "Model-Predictive Cruise Control for Direct Teleoperated Driving Tasks," European Control Conference (ECC), pp. 1808~1813.

10.23919/ECC54610.2021.9655187

G. Graf, Y. Abdelrahman, H. Xu, Y. Abdrabou, D. Schitz, H. Hußmann, and F. Alt, 2020, "The Predictive Corridor: A Virtual Augmented Driving Assistance System for Teleoperated Autonomous Vehicles," Proceedings of the International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments (ICAT-EGVE), pp. 61~69.

R. Chen, J. Hu, and W. Xu, 2022, "An RRT- Dijkstra-Based Path Planning Strategy for Autonomous Vehicles," Applied Sciences, 12(23):11982.

10.3390/app122311982

P. Bender, J. Ziegler, and C. Stiller, 2014, "Lanelets: Efficient map representation for autonomous driving," IEEE Intelligent Vehicles Symposium Proceedings, pp. 420~425.

10.1109/IVS.2014.6856487

F. Poggenhans et al., 2018, "Lanelet2: A high-definition map framework for the future of automated driving," 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 1672~1679.

10.1109/ITSC.2018.8569929

L.C. Davis, 2017, "Dynamic origin-to-destination routing of wirelessly connected, autonomous vehicles on a congested network," Physica A: Statistical Mechanics and its Applications, Vol. 478, pp. 93~102.

10.1016/j.physa.2017.02.030

J. Yang, T. Chen, B. Payne, P. Guo, Y. Zhang, and J. Guo, 2020, "Generating routes for autonomous driving in vehicle-to-infrastructure communications," Digital Communications and Networks, Vol. 6, Issue 4, pp. 444~451.

10.1016/j.dcan.2020.04.005

K. Zhang and Y. Nie, 2018, "Mitigating the impact of selfish routing: An optimal-ratio control scheme (ORCS) inspired by autonomous driving," Transportation Research Part C: Emerging Technologies, Vol. 87, pp. 75~90.

10.1016/j.trc.2017.12.011

Q. Luo, Y. Cao, J. Liu, and A. Benslimane, 2019, "Localization and Navigation in Autonomous Driving: Threats and Countermeasures," IEEE Wireless Communications, Vol. 26, No. 4, pp. 38~45.

10.1109/MWC.2019.1800533

Information

Publisher :Korean Auto-vehicle Safety Association
Publisher(Ko) :한국자동차모빌리티안전학회
Journal Title :Journal of Auto-vehicle Safety Association
Journal Title(Ko) :자동차안전학회지
Volume : 16
No :4
Pages :6-13
Received Date : 2023-11-16
Revised Date : 2024-09-19
Accepted Date : 2024-11-13
DOI :https://doi.org/10.22680/kasa2024.16.4.006

Journal of Auto-vehicle Safety Association ISSN:2005-9396(Print) 자동차안전학회지

All Issue