Huy X. Pham — accepted AI-conference papers

2021

GridNet: Image-Agnostic Conditional Anomaly Detection for Indoor Surveillance

Ilker Bozcan, Jonas Le Fevre, Huy X. Pham, Erdal Kayacan

RA-L 2021

We present a deep autoencoder-based anomaly detection method (GridNet) for indoor surveillance. Unlike similar studies, GridNet is image-agnostic by taking a specific representation of a scene as inputs instead of the raw image itself. Its input is grid representations of scene images, which indicat

Cited by 22 Source ↗code ↗Scholar ↗

2017

A distributed control framework for a team of unmanned aerial vehicles for dynamic wildfire tracking

Huy X. Pham, Hung M. La, David Feil-Seifer, Matthew Deans

IROS 2017poster

Wild-land fire fighting is a hazardous job. A key task for firefighters is to observe the “fire front” to chart the progress of the fire and areas it will likely spread next. Lack of information of the fire front causes many accidents. Using Unmanned Aerial Vehicles (UAV) to cover wildfire is promis…

Cited by 158 Source ↗Scholar ↗