Source: Proceedings. Conference titles: International Congress of Mechanical Engineering - COBEM. Unidade: EESC
Subjects: SENSORES ÓPTICOS, FILTROS DE KALMAN
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ESTEVES, Breno Almeida e MEGDA, Poliane Torres e BECKER, Marcelo. Autonomous embedded navigation system-detection, classification and trajectory prediction of obstacles in urban environments based on laser sensor data and Kalman filter. 2011, Anais.. Rio de Janeiro: ABCM, 2011. . Acesso em: 16 out. 2024.APA
Esteves, B. A., Megda, P. T., & Becker, M. (2011). Autonomous embedded navigation system-detection, classification and trajectory prediction of obstacles in urban environments based on laser sensor data and Kalman filter. In Proceedings. Rio de Janeiro: ABCM.NLM
Esteves BA, Megda PT, Becker M. Autonomous embedded navigation system-detection, classification and trajectory prediction of obstacles in urban environments based on laser sensor data and Kalman filter. Proceedings. 2011 ;[citado 2024 out. 16 ]Vancouver
Esteves BA, Megda PT, Becker M. Autonomous embedded navigation system-detection, classification and trajectory prediction of obstacles in urban environments based on laser sensor data and Kalman filter. Proceedings. 2011 ;[citado 2024 out. 16 ]
