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The CAR Approach: Creative Applied Research Experiences for Master’s Students in Autonomous Platooning
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0001-8587-2251
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).ORCID iD: 0000-0003-4894-4134
Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).ORCID iD: 0000-0002-1147-5736
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2021 (English)In: 2021 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021, IEEE, 2021, p. 214-221Conference paper, Published paper (Refereed)
Abstract [en]

Autonomous vehicles (AVs) are crucial robotic systems that promise to improve our lives via safe, efficient, and inclusive transport-while posing some new challenges for the education of future researchers in the area, that our current research and education might not be ready to deal with: In particular, we don't know what the AVs of the future will look like, practical learning is restricted due to cost and safety concerns, and a high degree of multidisciplinary knowledge is required. Here, following the broad outline of Active Student Participation theory, we propose a pedagogical approach targeted toward AVs called CAR that combines Creativity theory, Applied demo-oriented learning, and Real world research context. Furthermore, we report on applying the approach to stimulate learning and engagement in a master's course, in which students freely created a demo with 10 small robots running ROS2 and Ubuntu on Raspberry Pis, in connection to an ongoing research project and a real current problem (SafeSmart and COVID-19). The results suggested the feasibility of the CAR approach for enabling learning, as well as mutual benefits for both the students and researchers involved, and indicated some possibilities for future improvement, toward more effective integration of research experiences into second cycle courses. © 2021 IEEE.

Place, publisher, year, edition, pages
IEEE, 2021. p. 214-221
National Category
Pedagogy
Identifiers
URN: urn:nbn:se:hh:diva-46083DOI: 10.1109/RO-MAN50785.2021.9515560ISI: 000709817200031Scopus ID: 2-s2.0-85115115499ISBN: 978-1-6654-0492-1 (electronic)ISBN: 978-1-6654-4637-2 (print)OAI: oai:DiVA.org:hh-46083DiVA, id: diva2:1619355
Conference
30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021, Virtual, Vancouver, BC, Canada, 08-12/08, 2021
Available from: 2021-12-13 Created: 2021-12-13 Last updated: 2023-10-05Bibliographically approved
In thesis
1. Safety of Cooperative Automated Driving: Analysis and Optimization
Open this publication in new window or tab >>Safety of Cooperative Automated Driving: Analysis and Optimization
2022 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

New cooperative intelligent transportation system (C-ITS) applications become enabled thanks to advances in communication technologies between vehicles(V2V) and with the infrastructure (V2I). Communicating vehicles share information with each other and cooperate, which results in improved safety, fuel economy, and traffic efficiency. An example of a C-ITS application is platooning, which comprises a string of vehicles that travel together with short inter-vehicle distances (IVDs).

Any solution related to C-ITS must comply with high safety requirements in order to pass standardization and be commercially deployed. Furthermore, trusted safety levels should be assured even for critical scenarios.

This thesis studies the conditions that guarantee safety in emergency braking scenarios for heterogeneous platooning, or string-like, formations of vehicles. In such scenarios, the vehicle at the head of the string emergency brakes and all following vehicles have to automatically react in time to avoid rear-end collisions. The reaction time can be significantly decreased with vehicle-to-vehicle (V2V) communication usage since the leader can explicitly inform other platooning members about the critical braking.

The safety analysis conducted in the thesis yields computationally efficient methods and algorithms for calculating minimum inter-vehicle distances that allow avoiding rear-end collisions with a predefined high guarantee. These IVDs are theoretically obtained for an open-loop and a closed-loop configurations. The former implies that follower drives with a constant velocity until braking starts, whereas in the latter, an adaptive cruise control (ACC) with a constant-distance policy serves as a controller. In addition, further optimization of inter-vehicle distances in the platoon is carried out under an assumption of centralized control. Such an approach allows achieving better fuel consumption and road utilization.

The performed analytical comparison suggests that our proposed V2V communication based solution is superior to classical automated systems, such as automatic emergency braking system (AEBS), which utilizes only onboard sensors and no communication. Wireless communication, enabling to know the intentions of other vehicles almost immediately, allows for smaller IVDs whilst guaranteeing the same level of safety.

Overall, the presented thesis highlights the importance of C-ITS and, specifically, V2V in the prevention of rear-end collisions in emergency scenarios. Future work directions include an extension of the obtained results by considering more advanced models of vehicles, environment, and communication settings; and applying the proposed algorithms of safety guaranteeing to other controllers, such as ACC with a constant time headway policy.

Place, publisher, year, edition, pages
Halmstad: Halmstad University Press, 2022. p. 33
Series
Halmstad University Dissertations ; 83
Keywords
platooning, Cooperative Intelligent Transportation System (C-ITS), Vehicle-to-Vehicle (V2V) communication, emergency braking, road safety, ITS-G5, IEEE 802.11p, automated driving
National Category
Control Engineering Communication Systems
Identifiers
urn:nbn:se:hh:diva-46288 (URN)978-91-88749-76-5 (ISBN)978-91-88749-75-8 (ISBN)
Presentation
2022-03-03, Wigforss, Kristian IV:s väg 3, Halmstad, 10:15 (English)
Opponent
Supervisors
Available from: 2022-02-09 Created: 2022-02-08 Last updated: 2022-02-09Bibliographically approved

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Sidorenko, GalinaMostowski, WojciechVinel, AlexeySjöberg, JeanetteCooney, Martin

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