Abstract
Street monitoring can be used as an excellent tool to decrease the number of incidents by, for example, giving information to street users (pedestrians, vehicles, cyclists, etc.) about the position of other street users and therefore helping prevent any possible harmful situation. Today, with the growing concern about privacy and data protection issues, the use of video and audio has become problematic in terms of street monitoring, so there is a need to find a solution to this problem. With that in mind, using radar is a possible solution since the data retrieved from it doesn’t contain anything considered personal and could violate people’s privacy. This paper presents a systematic review of pedestrian, vehicle and cyclist detection. The objective is to identify the main methods of radar target detection and the algorithms. With that in mind, a search in the SCOPUS repository identified thirteen papers as relevant to include in the review.
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Acknowledgments
This work has been supported by FCT - Fundação para a Ciência e Tecnologia within the R &D Units Project Scope: UIDB/00319/2020.
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Nogueira, H., Duraes, D., Novais, P. (2024). Study of Detection Object and People with Radar Technology. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F., Colla, V. (eds) Information Systems and Technologies. WorldCIST 2023. Lecture Notes in Networks and Systems, vol 801. Springer, Cham. https://doi.org/10.1007/978-3-031-45648-0_14
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