Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sevastopoulos, Christos"'
Endeavors in indoor robotic navigation rely on the accuracy of segmentation models to identify free space in RGB images. However, deep learning models are vulnerable to adversarial attacks, posing a significant challenge to their real-world deploymen
Externí odkaz:
http://arxiv.org/abs/2402.08763
Autor:
Sevastopoulos, Christos, Hussain, Joey, Konstantopoulos, Stasinos, Karkaletsis, Vangelis, Makedon, Fillia
Accurate indoor free-space segmentation is a challenging task due to the complexity and the dynamic nature that indoor environments exhibit. We propose an indoors free-space segmentation method that associates large depth values with navigable region
Externí odkaz:
http://arxiv.org/abs/2311.01966
Traversability illustrates the difficulty of driving through a specific region and encompasses the suitability of the terrain for traverse based on its physical properties, such as slope and roughness, surface condition, etc. In this survey we highli
Externí odkaz:
http://arxiv.org/abs/2204.10883
Autor:
Sevastopoulos, Christos, Zadeh, Mohammad Zaki, Theofanidis, Michail, Acharya, Sneh, Patel, Nishi, Makedon, Fillia
Publikováno v:
Technologies (2227-7080); Jun2023, Vol. 11 Issue 3, p64, 10p
Publikováno v:
ACM International Conference Proceeding Series; 6/30/2020, p1-2, 2p
Autor:
Sevastopoulos, Christos, Konstantopoulos, Stasinos, Balaji, Keshav, Zaki Zadeh, Mohammad, Makedon, Fillia
Publikováno v:
Technologies (2227-7080); Mar2022, Vol. 10 Issue 1, pN.PAG-N.PAG, 1p
Autor:
Kyrarini, Maria, Lygerakis, Fotios, Rajavenkatanarayanan, Akilesh, Sevastopoulos, Christos, Nambiappan, Harish Ram, Chaitanya, Kodur Krishna, Babu, Ashwin Ramesh, Mathew, Joanne, Makedon, Fillia
Publikováno v:
Technologies (2227-7080); Mar2021, Vol. 9 Issue 1, p8-8, 1p
Autor:
Doolani, Sanika, Wessels, Callen, Kanal, Varun, Sevastopoulos, Christos, Jaiswal, Ashish, Nambiappan, Harish, Makedon, Fillia
Publikováno v:
Technologies (2227-7080); Dec2020, Vol. 8 Issue 4, p77, 1p