2 citations · 2 across the 3 of their papers we have counts for
3 papers
Enhancing Robustness of Indoor Robotic Navigation with Free-Space Segmentation Models Against Adversarial Attacks
Qiyuan An, Christos Sevastopoulos, Fillia Makedon
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…
Depth-guided Free-space Segmentation for a Mobile Robot
Christos Sevastopoulos, Joey Hussain, Stasinos Konstantopoulos +2
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 segmen…
A Survey of Traversability Estimation for Mobile Robots
Christos Sevastopoulos, Stations Konstantopoulos
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…