Abstract
Currently in Peru, people prefer to live in apartment instead of houses but in some cases there are troubles with belongings between tenants who leave their stuffs in parking lots. For that, the use of an intelligent mobile mini-robot is proposed to implement a monitoring system of objects, such as cars in an underground garage inside a building using deep learning models in order to solve problems of theft of belongings. In addition, the small robot presents an indoor location system through the use of beacons that allow us to identify the position of the parking lot corresponding to each tenant of the building during the route of the robot.
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References
Bojarski, M., et al.: End to end learning for self-driving cars, arXiv preprint arXiv:1604.07316 (2016)
Laroca, R., et al.: A robust real-time automatic license plate recognition based on the YOLO detector. CoRR, vol. abs/1802.09567 (2018)
Redmon, J., Farhadi, A.: YOLO9000: Better, Faster, Stronger, CoRR, arXiv preprint arXiv:1612.08242 (2016)
Santo, D.: Autonomous Cars’ Pick: Camera, Radar, Lidar? https://www.eetimes.com/author.asp?section_id=36&doc_id=1330069. Accessed 7 June 2018
CarND Self-Driving Nanodegree Udacity - Behavioral-Cloning. https://youtu.be/e7D23Kdy72Q. Accessed 7 June 2018
Li, J., Guo, M., Li, S.: An indoor localization system by fusing smartphone inertial sensors and bluetooth low energy beacons. In: Frontiers of Sensors Technologies (ICFST), Shenzhen, China (2017)
Gorovyi, I., Roenko, A., Pitertsev, A., Chervonyak, I., Vovk, V.: Real-time system for indoor user localization and navigation using bluetooth beacons. In: 2017 IEEE First Ukraine Conferenceon Electrical and Computer Engineering (UKRCON) (2017)
Momose, R., Nitta, T., Yanagisawa, M., Togawa, N.: An accurate indoor positioning algorithm using particle filter based on the proximity of bluetooth beacons. In: IEEE 6th Global Conference on Consumer Electronics (GCCE) (2017)
SUNARP: Servicio Gratuito de Consulta Vehicular con datos relacionados a las características de los vehículos registrados a nivel nacional. https://www.sunarp.gob.pe/ConsultaVehicular. Accessed 7 June 2018
Hsieh, C.T., Chang, L.-C., Hung, K.M., Huang, H.-C.: A real-time mobile vehicle license plate detection and recognition for vehicle monitoring and management. In: Joint Conferences on Pervasive Computing (JCPC) (2009)
Russakovsky, O., et al.: ImageNet large scale visual recognition challenge. Int. J. Comput. Vis. (IJCV) 115(3), 211–252 (2015)
Krause, J., Stark, M., Deng, J., Fei-Fei, L.: 3D object representations for fine-grained categorization. In: 4th IEEE Workshop on 3D Representation and Recognition, at ICCV 2013 (3dRR-13) (2013)
Zhou, C., Li, F., Cao, W.: Architecture design and implementation of image based autonomous car: THUNDER-1. In: Multimedia Tools and Applications (2018). https://doi.org/10.1007/s11042-018-5816-9
Goncalves, G.R., da Silva, S.P.G., Menotti, D., Schwartz, W.R.: Benchmark for license plate character segmentation. J. Electronic Imaging 25(5), 053034 (2016)
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León-Vera, L., Moreno-Vera, F. (2019). Car Monitoring System in Apartments’ Garages by Small Autonomous Car Using Deep Learning. In: Lossio-Ventura, J., Muñante, D., Alatrista-Salas, H. (eds) Information Management and Big Data. SIMBig 2018. Communications in Computer and Information Science, vol 898. Springer, Cham. https://doi.org/10.1007/978-3-030-11680-4_18
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DOI: https://doi.org/10.1007/978-3-030-11680-4_18
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