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Pregled bibliografske jedinice broj: 1127811

Depth from Mono Accuracy Analysis by Changing Camera Parameters in the CARLA simulator


Gršković Zvonimir; Peršić, Juraj; Marković Ivan; Petrović, Ivan
Depth from Mono Accuracy Analysis by Changing Camera Parameters in the CARLA simulator // International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Opatija, Croatia, 2021. str. 1-6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), ostalo)


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Naslov
Depth from Mono Accuracy Analysis by Changing Camera Parameters in the CARLA simulator

Autori
Gršković Zvonimir ; Peršić, Juraj ; Marković Ivan ; Petrović, Ivan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), ostalo

Izvornik
International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) / - , 2021, 1-6

Skup
International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

Mjesto i datum
Opatija, Croatia, 27.09.-01.10.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Monocular depth estimation ; Self-supervised training ; CARLA simulator

Sažetak
Depth estimation is an important task in robotics and autonomous driving. By estimating depth and relying only on a single camera, it is no longer necessary to add and calibrate additional sensors – usually a second camera. However, such an approach requires training on extensive datasets and obtaining real-world datasets is time consuming and costly. Given that, using photorealistic simulators can be beneficial, since a multitude of various scenes can be created. In this paper we present an approach to training a deep neural network based on the ResNet architecture for estimating depth from a single camera. We target road vehicle scenes and use the CARLA simulator. We evaluate the trained network on the real-world KITTI dataset images and in the CARLA simulator. In the simulated experiments, we compare the performance with respect to the changes in camera intrinsic and extrinsic calibration parameters with respect to the ego vehicle frame.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Juraj Peršić (autor)

Avatar Url Ivan Petrović (autor)

Avatar Url Ivan Marković (autor)


Citiraj ovu publikaciju:

Gršković Zvonimir; Peršić, Juraj; Marković Ivan; Petrović, Ivan
Depth from Mono Accuracy Analysis by Changing Camera Parameters in the CARLA simulator // International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Opatija, Croatia, 2021. str. 1-6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), ostalo)
Gršković Zvonimir, Peršić, J., Marković Ivan & Petrović, I. (2021) Depth from Mono Accuracy Analysis by Changing Camera Parameters in the CARLA simulator. U: International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).
@article{article, year = {2021}, pages = {1-6}, keywords = {Monocular depth estimation, Self-supervised training, CARLA simulator}, title = {Depth from Mono Accuracy Analysis by Changing Camera Parameters in the CARLA simulator}, keyword = {Monocular depth estimation, Self-supervised training, CARLA simulator}, publisherplace = {Opatija, Croatia} }
@article{article, year = {2021}, pages = {1-6}, keywords = {Monocular depth estimation, Self-supervised training, CARLA simulator}, title = {Depth from Mono Accuracy Analysis by Changing Camera Parameters in the CARLA simulator}, keyword = {Monocular depth estimation, Self-supervised training, CARLA simulator}, publisherplace = {Opatija, Croatia} }




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