Visible Light Positioning and Communication Methods and Their Application in the Intelligent Mobility

Authors

Keywords:

VLP, VLC, Intelligent Vehicles, V2V, V2I

Abstract

The autonomous mobility field is changing worldwide, mainly due to new technologies developed by different actors. However, there are still open challenges related to vehicle-to-vehicle communication (V2V) and vehicle-to-infrastructure communication (V2I), as well as vehicle localization, a crucial topic in navigation. In this scope, this document reports the study of visible light positioning and communication techniques (VLP and VLC, respectively) to trace the state of the art of these technologies. It seeks their applicability in the field of intelligent mobility to integrate Advanced Driver Assistance Systems (ADAS) with them. Moreover, we present the current challenges of these technologies in the intelligent vehicles field, mainly in the urban environment. The literature cataloged results justify the application proposal and provide an important resource for those interested in this subject.

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Author Biographies

Ana Luísa Rodrigues Gonçalves, Terrestrial Mobility Lab (LMT), Federal University of Lavras (UFLA)

Ana Luísa Rodrigues Gonçalves: Technician in Electronics by the Electronics Technical School Francisco Moreira da Costa (ETE-FMC) in Santa Rita do Sapucaí - MG. Currently, she is an undergraduate student in Control and Automation Engineering at the Federal University of Lavras (UFLA) in Lavras - MG and member of the Terrestrial Mobility Laboratory (LMT) since 2017.

Álvaro Henrique Alves Maia, Terrestrial Mobility Lab (LMT), Federal University of Lavras (UFLA)

Mechatronics Technician from the Centro Federal de Educação Tecnológica de Minas Gerais (CEFET-MG), Campus Nepomuceno. Currently undergraduate student in Control and Automation Engineering at the Federal University of Lavras (UFLA) in Lavras - MG and member of the Terrestrial Mobility Laboratory (LMT) since 2017.

Mateus Rodrigues Santos, Terrestrial Mobility Lab (LMT), Federal University of Lavras (UFLA)

Mateus Rodrigues Santos has a Control and Automation Engineering degree from the Federal University of Lavras (UFLA) in 2019. During his graduation, he worked as a researcher at the Terrestrial Mobility Laboratory (LMT).

Danilo Alves de Lima, Terrestrial Mobility Lab (LMT), Federal University of Lavras (UFLA)

Danilo is an Assistant Professor in the Automation Department (DAT) at the Federal University of Lavras (UFLA). He was a Postdoctoral fellow in the same department of this university. Recently, he was a temporary researcher and professor at the University of Technology of Compiègne (UTC), Compiègne, France, being a member of the Heudiasyc/CNRS UMR 7253 Laboratory. In this laboratory, he performed his Ph.D. in Electrical Engineering and Information Technology Systems between May 2012 and June 2015, where he developed a sensor-based navigation system for an autonomous car. His master's degree was in Electrical Engineering in the area of Computer Vision and Robotics, at the Federal University of Minas Gerais (UFMG, 2010), where he developed a control system based on velocity vector fields and obstacle avoidance for an autonomous car. He has two undergraduate degrees, one in Control and Automation Engineering from the Federal University of Minas Gerais (UFMG, 2008) and the second one in Music with classical guitar qualification from the State University of Minas Gerais (UEMG, 2009). He also worked at Invent Vision Sistemas de Imagem e Visão (iVision), where he developed systems based on computer vision for industries in general. He has experience in the areas of Robotics, Computer Vision, and Industrial Automation, working mainly on the following themes: robot navigation, obstacle detection, measuring instruments automatic reading, multi-camera calibration, 3D reconstruction, and stereo vision.

Arthur Miranda Neto, Terrestrial Mobility Lab (LMT), Federal University of Lavras (UFLA)

Arthur received in 2017 the Fulbright Faculty Member Award from the University of California, Berkeley, for a project on Standard Data Recording Device (black box) for Autonomous / Intelligent Vehicles. He is a laureate (2011) of the Marechal do Ar Casimiro Montenegro Filho award from the Presidency of the Republic of Brazil for his doctoral thesis in the field of Autonomous Vehicles. He performed a Post-PhD (2012) in Autonomous / Intelligent Vehicles (Renault / Heudiasyc) in France. He is a PhD in Information Technology and Systems from the Technological University of Compiègne, France, and in Mechanical Engineering from UNICAMP. He the founder of the Terrestrial Mobility Laboratory (LMT) at UFLA. He was the coordinator of the research project with the National Institute of Metrology, Quality and Technology (Inmetro): Legal and technological security for the use and insertion of intelligent vehicles in Brazil. Between 1997 and 2005 he was an active officer in the Brazilian Army. He has more than 45 supervisions and co-supervisions. He is the author and co-author of several publications, including a book chapter and articles in the field of intelligent vehicles. He is the inventor of two patents in the field of intelligent vehicles with Renault in France (registered in Europe and the United States), in addition to software registrations in Brazil. He is the founder of the technology startup SEVEN GO.

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Published

2021-04-26

How to Cite

Rodrigues Gonçalves, A. L., Henrique Alves Maia, Álvaro ., Rodrigues Santos, M., Alves de Lima, D., & Miranda Neto, A. (2021). Visible Light Positioning and Communication Methods and Their Application in the Intelligent Mobility. IEEE Latin America Transactions, 19(11), 1883–1894. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/4716

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