Publications and Resources

We show experimentally that SurfaceAug outperforms existing methods on car detection tasks and establishes a new state of the art for multimodal ground truth sampling.

Robotic access monitoring of multiple target areas has applications including checkpoint enforcement, surveillance and containment of fire and flood hazards. Through simulation we measure the performance of approaches on different scenarios.

Noblis-developed tool bridges the gap between data analysis and actionable information for vector-borne diseases.

Accurate weather forecasts are crucial to planning disaster management, protecting existing infrastructure, and sustaining federal mission areas. Geospatial foundation models have been developed as impactful tools for various stakeholders as vision transformers increasingly outperform numerical weather prediction models.

Our smart sensors, secure networks and data analytics help platforms stay up and running while optimizing performance and minimizing overall lifecycle costs with solutions like our ADSSS Condition-Based Maintenance system, Prognostics Framework and more.

This case study shows how sequence stratigraphic interpretation methods can be applied to improve groundwater remediation efficiency.

For digital twins to be able to evolve with their paired, realworld system the artifacts associated with these various disciplines must remain synchronized and coherent throughout the digital twin lifecycle. We provide a paradigm for harmonizing this multidisciplinary effort.

A collection of published Noblis forensics research studies evaluating tire examination.

Leveraging modeling and experimentation for information and communications technology solutioning, assessment and optimization.

This 2024 NHCP research report provides a foundational understanding of ML and its applications and helping to leverage ML for a safer, more efficient, and sustainable transportation future.

The complementary characteristics of LiDARs and cameras motivate their combined use in object detection, especially for autonomous vehicles. We propose a novel automated annotation pipeline.

The Noblis Data Lakehouse has a scalable data infrastructure that provides replication, consistency and reliability; an efficient and scalable engine for data processing; and support for faster analytic queries and the ML development lifecycle.