Testbed for industrial advanced driver assistance systems

Authors

Keywords:

ADAS evaluation, driving assistance, industrial vehicles, intelligent transportation systems, testbed

Abstract

Factories and industrial warehouses are environments in which accidents can be easily produced. People on foot work in the same place where heavy machinery is operating. Therefore, when accidents occur, they frequently have severe consequences. To reduce the number of accidents and their effects, there are strict regulations on the workplace and workers participate in regular training activities. In recent years, there has been a great evolution in Advanced Driver Assistance Systems (ADAS) specially in public road vehicles. With the proper design, these systems may also help to improve safety in industrial environments. For example, an ADAS may warn industrial drivers about nearby pedestrians. Nevertheless, the development of ADAS in this context is complex because industrial environments and their machines are very heterogeneous. Hence, this paper describes a testbed developed to assess the design of ADAS for industrial vehicles. The testbed includes all the elements needed to evaluate an industrial ADAS: hardware, an event management system, a simulator of a warehouse and, an evaluation methodology. To determine the effectiveness of the testbed, the assessment of an ADAS designed to warn industrial drivers about nearby obstacles has also been performed. The assessment includes a subjective evaluation of the testbed and of the cognitive load generated during the evaluation. The results of this assessment are very promising. They show that the testbed is realistic and that it is effective for ADAS designers to analyse the reactions of drivers to the signals produced by the assistance systems under evaluation.

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Author Biographies

Xabiel G. Pañeda, University of Oviedo

Xabiel G. Pañeda earned his Ph.D. degree in 2004 from the University of Oviedo, 33204 Gijón, Spain, where he is an associate professor in the Department of Computer Science. His research interests include the Internet of Things and edge–computer architectures.

Roberto García Fernandez, University of Oviedo

Roberto García earned his Ph.D. degree from the University of Oviedo, 33204 Gijón, Spain, where he is an associate professor of telematic engineering. His research interests include systems for efficient and safe driving in combustion vehicles, edge–computer architectures, human–computer interaction devices, and advanced driving assistance systems

David Melendi Palacio, Universidad de Oviedo

David Melendi earned his Ph.D. degree from the University of Oviedo, 33204 Gijón, Spain, where he is an associate professor in the Department of Computer Science. His research interests include multimedia systems, human–computer interaction, efficient driving, ad hoc networks, and intelligent transportation systems

Dan García Carrillo, University of Oviedo

Dan García Carrillo, received his PhD in Computer Science at the University of Murcia in 2018, under an Industrial Doctorate grant. Currently, he is an associate professor at the University of Oviedo, where he continues his research on new protocols and proposals to secure IoT in different types of constrained networks. He is involved in the IETF in several standardization efforts regarding bootstrapping and security in the context of the Internet of Things. He has collaborated in EU projects like Sociotal, SMARTIE, ANASTACIA and Plug-N-Harvest. His main research interests are security and privacy for IoT as well as emergent technologies.

David Martínez Alvarez, ADN Mobile Solutions

David Martínez Álvarez received the Telecommunications degree from the University of Vigo, Spain. He is a member/Cofounder of ADN Mobile Solutions and a part-time Associate Professor with the Area of Theory of Signals and Communications, Department of Electrical Engineering, Electronics, Computers and Systems, University of Oviedo, Spain

Víctor Corcoba, University of Oviedo

Víctor Corcoba earned his Ph.D. degree from the University Carlos III. He is an associate professor in the Department of Computer Science, University of Oviedo, 33204 Gijón, Spain. His research interests include wearable devices, stress detection, and intelligent systems for improving driving safety and fuel consumption. He is the author of four books and more than 40 articles on energy efficiency and safety in vehicles.

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Published

2023-04-18

How to Cite

Pañeda, X. G., García Fernandez, R., Melendi Palacio, D., García Carrillo, D., Martínez Alvarez, D., & Corcoba, V. (2023). Testbed for industrial advanced driver assistance systems. IEEE Latin America Transactions, 21(5), 613–620. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/7151

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