Search Results for author: Armin Hadzic

Found 10 papers, 2 papers with code

Probabilistic Image-Driven Traffic Modeling via Remote Sensing

no code implementations8 Mar 2024 Scott Workman, Armin Hadzic

This work addresses the task of modeling spatiotemporal traffic patterns directly from overhead imagery, which we refer to as image-driven traffic modeling.

Handling Image and Label Resolution Mismatch in Remote Sensing

no code implementations28 Nov 2022 Scott Workman, Armin Hadzic, M. Usman Rafique

Though semantic segmentation has been heavily explored in vision literature, unique challenges remain in the remote sensing domain.

Semantic Segmentation

Bayesian optimization of distributed neurodynamical controller models for spatial navigation

no code implementations31 Oct 2021 Armin Hadzic, Grace M. Hwang, Kechen Zhang, Kevin M. Schultz, Joseph D. Monaco

Dynamical systems models for controlling multi-agent swarms have demonstrated advances toward resilient, decentralized navigation algorithms.

Bayesian Optimization Efficient Exploration +1

An interdisciplinary approach to high school curriculum development: Swarming Powered by Neuroscience

no code implementations12 Sep 2021 Elise Buckley, Joseph D. Monaco, Kevin M. Schultz, Robert Chalmers, Armin Hadzic, Kechen Zhang, Grace M. Hwang, M. Dwight Carr

This article discusses how to create an interactive virtual training program at the intersection of neuroscience, robotics, and computer science for high school students.

Towards Indirect Top-Down Road Transport Emissions Estimation

no code implementations16 Mar 2021 Ryan Mukherjee, Derek Rollend, Gordon Christie, Armin Hadzic, Sally Matson, Anshu Saksena, Marisa Hughes

In this work, we develop machine learning models that use satellite imagery to perform indirect top-down estimation of road transport emissions.

TARA: Training and Representation Alteration for AI Fairness and Domain Generalization

no code implementations11 Dec 2020 William Paul, Armin Hadzic, Neil Joshi, Fady Alajaji, Phil Burlina

Our experiments also demonstrate the ability of these novel metrics in assessing the Pareto efficiency of the proposed methods.

Domain Generalization Fairness +1

Estimating Displaced Populations from Overhead

1 code implementation25 Jun 2020 Armin Hadzic, Gordon Christie, Jeffrey Freeman, Amber Dismer, Stevan Bullard, Ashley Greiner, Nathan Jacobs, Ryan Mukherjee

We introduce a deep learning approach to perform fine-grained population estimation for displacement camps using high-resolution overhead imagery.


FARSA: Fully Automated Roadway Safety Assessment

1 code implementation17 Jan 2019 Weilian Song, Scott Workman, Armin Hadzic, Xu Zhang, Eric Green, Mei Chen, Reginald Souleyrette, Nathan Jacobs

An emerging approach for conducting such assessments in the United States is through the US Road Assessment Program (usRAP), which rates roads from highest risk (1 star) to lowest (5 stars).

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