3 citations · 4 across the 5 of their papers we have counts for
5 papers
3D Adapted Random Forest Vision (3DARFV) for Untangling Heterogeneous-Fabric Exceeding Deep Learning Semantic Segmentation Efficiency at the Utmost Accuracy
Omar Alfarisi, Zeyar Aung, Qingfeng Huang +6
Planetary exploration depends heavily on 3D image data to characterize the static and dynamic properties of the rock and environment. Analyzing 3D images requires many computations…
Siamese Transformer Pyramid Networks for Real-Time UAV Tracking
Daitao Xing, Nikolaos Evangeliou, Athanasios Tsoukalas +1
Recent object tracking methods depend upon deep networks or convoluted architectures. Most of those trackers can hardly meet real-time processing requirements on mobile platforms w…
3DMotion-Net: Learning Continuous Flow Function for 3D Motion Prediction
Shuaihang Yuan, Xiang Li, Anthony Tzes +1
In this paper, we deal with the problem to predict the future 3D motions of 3D object scans from previous two consecutive frames. Previous methods mostly focus on sparse motion pre…
Relative Visual Localization for Unmanned Aerial Systems
Steffen Holter, Athanasios Tsoukalas, Nikolaos Evangeliou +2
Cooperative Unmanned Aerial Systems (UASs) in GPS-denied environments demand an accurate pose-localization system to ensure efficient operation. In this paper we present a novel vi…
Distributed surveillance by a swarm of UAVs operating under positional uncertainty
Nikolaos Bousias, Sotiris Papatheodorou, Mariliza Tzes +1
This article proposes a collaborative control framework for an autonomous aerial swarm tasked with the surveillance of a convex region of interest. Each Mobile Aerial Agent (MAA) i…