Silva, A.L.; Oliveira, P.; Durães, D.; Fernandes, D.; Névoa, R.; Monteiro, J.; Melo-Pinto, P.; Machado, J.; Novais, P.
A Framework for Representing, Building and Reusing Novel State-of-the-Art Three-Dimensional Object Detection Models in Point Clouds Targeting Self-Driving Applications. Sensors 2023, 23, 6427.
https://doi.org/10.3390/s23146427
AMA Style
Silva AL, Oliveira P, Durães D, Fernandes D, Névoa R, Monteiro J, Melo-Pinto P, Machado J, Novais P.
A Framework for Representing, Building and Reusing Novel State-of-the-Art Three-Dimensional Object Detection Models in Point Clouds Targeting Self-Driving Applications. Sensors. 2023; 23(14):6427.
https://doi.org/10.3390/s23146427
Chicago/Turabian Style
Silva, António Linhares, Pedro Oliveira, Dalila Durães, Duarte Fernandes, Rafael Névoa, João Monteiro, Pedro Melo-Pinto, José Machado, and Paulo Novais.
2023. "A Framework for Representing, Building and Reusing Novel State-of-the-Art Three-Dimensional Object Detection Models in Point Clouds Targeting Self-Driving Applications" Sensors 23, no. 14: 6427.
https://doi.org/10.3390/s23146427
APA Style
Silva, A. L., Oliveira, P., Durães, D., Fernandes, D., Névoa, R., Monteiro, J., Melo-Pinto, P., Machado, J., & Novais, P.
(2023). A Framework for Representing, Building and Reusing Novel State-of-the-Art Three-Dimensional Object Detection Models in Point Clouds Targeting Self-Driving Applications. Sensors, 23(14), 6427.
https://doi.org/10.3390/s23146427