Guia docente 2023_24
Escola de Enxeñaría Industrial
Máster Universitario en Enxeñaría da Automoción
 Materias
  O vehículo autónomo e conectado
   Bibliografía. Fontes de información
Bibliografía Básica Balado, J., Martínez-Sánchez, J., Arias, P., & Novo, A., Road environment semantic segmentation with deep learning from MLS point cloud data., Sensors, 19(16), 3466, 2019
Che, E., Jung, J., & Olsen, M. J., Object recognition, segmentation, and classification of mobile laser scanning point clouds: A state of the art review, Sensors, 19(4), 810, 2019
Geiger, A., Lenz, P., & Urtasun, R, Are we ready for autonomous driving? the kitti vision benchmark suite, IEEE Conference on Computer Vision and Pattern Rec, 2012
Girao, P., Asvadi, A., Peixoto, P., & Nunes, U, 3D Object Tracking in Driving Environment: a short review and a benchmark dataset, IEEE 19th International Conference on Intelligent, 2016
Bibliografía Complementaria Griffiths, D., & Boehm, J., A Review on deep learning techniques for 3D sensed data classification, Remote Sensing, 11(12), 1499, 2019
Wirges, S., Fischer, T., Stiller, C., & Frias, J. B., Object detection and classification in occupancy grid maps using deep convolutional networks, International Conference on Intelligent Transporta, 2018
Zhu, H., Yuen, K. V., Mihaylova, L., & Leung, H., Overview of environment perception for intelligent vehicles, IEEE Transactions on Intelligent Transportation Sy, 2017
Universidade de Vigo            | Reitoría | Campus Universitario | C.P. 36.310 Vigo (Pontevedra) | España | Tlf: +34 986 812 000