most citedA comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management

9 citations · 16 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Enhanced Cooperative Perception for Autonomous Vehicles Using Imperfect Communication

Ahmad Sarlak, Hazim Alzorgan, Sayed Pedram Haeri Boroujeni +2

Sharing and joint processing of camera feeds and sensor measurements, known as Cooperative Perception (CP), has emerged as a new technique to achieve higher perception qualities. C…

cs.DC2024

FedMIL: Federated-Multiple Instance Learning for Video Analysis with Optimized DPP Scheduling

Ashish Bastola, Hao Wang, Xiwen Chen +1

Many AI platforms, including traffic monitoring systems, use Federated Learning (FL) for decentralized sensor data processing for learning-based applications while preserving priva…

cs.CV20246 cited

VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation

Hao Wang, Jiayou Qin, Ashish Bastola +4

This paper explores the potential of Large Language Models(LLMs) in zero-shot anomaly detection for safe visual navigation. With the assistance of the state-of-the-art real-time op…

cs.CV20241 cited

Enhancing Digital Hologram Reconstruction Using Reverse-Attention Loss for Untrained Physics-Driven Deep Learning Models with Uncertain Distance

Xiwen Chen, Hao Wang, Zhao Zhang +4

Untrained Physics-based Deep Learning (DL) methods for digital holography have gained significant attention due to their benefits, such as not requiring an annotated training datas…

cs.LG20249 cited

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…

cs.RO2023

Actuator Trajectory Planning for UAVs with Overhead Manipulator using Reinforcement Learning

Hazim Alzorgan, Abolfazl Razi, Ata Jahangir Moshayedi

In this paper, we investigate the operation of an aerial manipulator system, namely an Unmanned Aerial Vehicle (UAV) equipped with a controllable arm with two degrees of freedom to…