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



VLP, VLC, Intelligent Vehicles, V2V, V2I


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, Universidade Federal de Lavras

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)

Te´cnico em Mecatrˆonica pelo Centro Federal de Educac¸ ˜ao Tecnol´ogica de Minas Gerais (CEFET-MG), Campus Nepomuceno. Atualmente graduando em Engenharia de Controle e Automaç˜ao na Universidade Federal de Lavras (UFLA) em Lavras - MG e membro do Laborat´orio de Mobilidade Terrestre (LMT) desde 2017.

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

Graduado em Engenharia de Controle e Automação pela Universidade Federal de Lavras (UFLA) em 2019. Durante a graduação atuou como pesquisador pelo Laboratório de Mobilidade Terrestre.

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

Recebeu o t´ıtulo de bacharel em Engenharia de Controle e Automac¸ ˜ao e mestre em Engenharia El´etrica pela Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brasil, em 2008 e 2010, e o t´ıtulo de doutor em Tecnologia de Sistemas e Informac¸ ˜ao pela Universidade de Compi`egne (UTC), Compi`egne, Franc¸a, em 2015. Atualmente, ´e professor adjunto no Departamento de Autom´atica da Universidade Federal de Lavras (UFLA) e diretor do Laborat´orio de Mobilidade Terrestre (LMT). Tamb´em trabalhou com o Grupo de Pesquisa e Desenvolvimento de Ve´ıculos Autˆonomos (PDVA), UFMG, e Heudiasyc UMR 7253, um laborat´orio de pesquisa comum entre o UTC e o CNRS na Franc¸a. Suas principais ´areas de pesquisa incluem vis˜ao computacional, navegação rob´otica e desenvolvimento de ve´ıculos inteligentes.

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

Recebeu (2017) o prˆemio Fulbright Faculty Member Award / Universidade da Calif´ornia, Berkeley. ´E um laureado (2011) do prˆemio Marechal do Ar Casimiro Montenegro Filho da Presidˆencia da Rep´ublica do Brasil por sua tese de doutorado na ´area de Ve´ıculos Autˆonomos. Realizou P´os-doutorado (2012) em Ve´ıculos Autˆonomos / Inteligentes (Renault/Heudiasyc) na Franc¸a. Doutor em Tecnologia da Informação e Sistemas pela Universidade de Tecnologia de Compi`egne, França, e
em Engenharia Mecˆanica pela UNICAMP. Fundador do Laborat´orio de Mobilidade Terrestre (LMT) na Universidade Federal de Lavras (UFLA), onde ´e professor, atualmente, licenciado para atividades empresariais. ´E CEO e Head of RD da Startup SEVEN GO e pesquisador da Fundação de Amparo `a Pesquisa do Estado de S˜ao Paulo.


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