9 citations · 11 across the 4 of their papers we have counts for
4 papers
SkyGrid: Energy-Flow Optimization at Harmonized Aerial Intersections
Sahand Khoshdel, Fatemeh Afghah, Qi Luo
The rapid evolution of urban air mobility (UAM) is reshaping the future of transportation by integrating aerial vehicles into urban transit systems. The design of aerial intersecti…
FlameFinder: Illuminating Obscured Fire through Smoke with Attentive Deep Metric Learning
Hossein Rajoli, Sahand Khoshdel, Fatemeh Afghah +1
FlameFinder is a deep metric learning (DML) framework designed to accurately detect flames, even when obscured by smoke, using thermal images from firefighter drones during wildfir…
PyroTrack: Belief-Based Deep Reinforcement Learning Path Planning for Aerial Wildfire Monitoring in Partially Observable Environments
Sahand Khoshdel, Qi Luo, Fatemeh Afghah
Motivated by agility, 3D mobility, and low-risk operation compared to human-operated management systems of autonomous unmanned aerial vehicles (UAVs), this work studies UAV-based a…
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Sayed Pedram Haeri Boroujeni, Abolfazl Razi, Sahand Khoshdel +7
Wildfires have emerged as one of the most destructive natural disasters worldwide, causing catastrophic losses in both human lives and forest wildlife. Recently, the use of Artific…