Obstacle Detection System for Personal Mobility Vehicle

Author:

Khamatov V. R.1,Strelnikov M. D.1,Blyudin A. I.1,Kulagin M. V.1,Goryunov D. S.1,Kolev Georgii Yu.1

Affiliation:

1. Saint Petersburg Electrotechnical University “LETI”,Department of Computer Aided Design,St. Petersburg,Russia

Publisher

IEEE

Reference11 articles.

1. Road traffic accident rate in the Russian Federation for 9 months 2023;Bakanov;Informational and analytical review. M.: FCU “NC BDD MVD Russia”,2023

2. Risk factors and injury patterns of e-scooter associated injuries in Germany

3. Electric scooters as a silent source of danger in increasing use among young people: a single-center in-depth accident analysis

4. Design of a smart sensor for obstacles detection on electric scooters or bicycles;D’Addato;Rel. Daniele Trinchero. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering),2021

5. Modelling And Simulation Of A Smart Obstacle Detection Sensor For A Bike Or Scooter With Model-Based Design;Guglielmi;Rel. Massimo Violante. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica),2023

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