3 papers
cs.CV2026
Detection of Adversarial Attacks in Robotic Perception
Ziad Sharawy, Mohammad Nakshbandi, Sorin Mihai Grigorescu
Deep Neural Networks (DNNs) achieve strong performance in semantic segmentation for robotic perception but remain vulnerable to adversarial attacks, threatening safety-critical app…
cs.CV2025
LoopNet: A Multitasking Few-Shot Learning Approach for Loop Closure in Large Scale SLAM
Mohammad-Maher Nakshbandi, Ziad Sharawy, Sorin Grigorescu
One of the main challenges in the Simultaneous Localization and Mapping (SLAM) loop closure problem is the recognition of previously visited places. In this work, we tackle the two…
cs.CV2025
LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping
Mohammad-Maher Nakshbandi, Ziad Sharawy, Dorian Cojocaru +1
In this study, we introduce LoopDB, which is a challenging loop closure dataset comprising over 1000 images captured across diverse environments, including parks, indoor scenes, pa…