Papa, L.; Proietti Mattia, G.; Russo, P.; Amerini, I.; Beraldi, R.
Lightweight and Energy-Aware Monocular Depth Estimation Models for IoT Embedded Devices: Challenges and Performances in Terrestrial and Underwater Scenarios. Sensors 2023, 23, 2223.
https://doi.org/10.3390/s23042223
AMA Style
Papa L, Proietti Mattia G, Russo P, Amerini I, Beraldi R.
Lightweight and Energy-Aware Monocular Depth Estimation Models for IoT Embedded Devices: Challenges and Performances in Terrestrial and Underwater Scenarios. Sensors. 2023; 23(4):2223.
https://doi.org/10.3390/s23042223
Chicago/Turabian Style
Papa, Lorenzo, Gabriele Proietti Mattia, Paolo Russo, Irene Amerini, and Roberto Beraldi.
2023. "Lightweight and Energy-Aware Monocular Depth Estimation Models for IoT Embedded Devices: Challenges and Performances in Terrestrial and Underwater Scenarios" Sensors 23, no. 4: 2223.
https://doi.org/10.3390/s23042223
APA Style
Papa, L., Proietti Mattia, G., Russo, P., Amerini, I., & Beraldi, R.
(2023). Lightweight and Energy-Aware Monocular Depth Estimation Models for IoT Embedded Devices: Challenges and Performances in Terrestrial and Underwater Scenarios. Sensors, 23(4), 2223.
https://doi.org/10.3390/s23042223