Ms. Samantha J. Butler Profile

Samantha J. Butler

at US Army Engineer Research and Development Ctr

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Author

Publications (9)

Proceedings Article | 13 November 2024 Presentation + Paper

Investigation of multisource object detection fusion for improving scene awareness for enhanced autonomy

Samantha Carley, Stanton Price, Haley Honigfort, Samantha Butler, Lalitha Dabbiru, John Ball, Josh Fairley, Stephanie Price

Proceedings Volume 13207, 132070H (2024) https://doi.org/10.1117/12.3031743

KEYWORDS: Object detection, Visualization, Sensors, LIDAR, Cameras

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Autonomous vehicles typically employ several types of sensors simultaneously, such as LiDAR (Light Detection and Ranging) sensors, visual cameras, and radar to provide information about the surrounding scene while driving. Ideally, coupling multiple sensors would improve a system that only utilizes a single sensing modality for its perception task. For an autonomous system to understand the scene intelligently, it must be equipped with object localization and classification, which is commonly employed using a visual camera. Object detection and classification may also be applied to LiDAR and thermal sensors to further enhance scene awareness of the autonomous system. Herein, we investigate the fusing of information obtained from visual (RGB), LiDAR, and infrared (IR) sensors in order to improve object classification accuracy and heighten scene awareness. In autonomy, there are several levels of fusion that can be employed, such as sensor-level, feature-level, and decision-level; for the scope of this research, we will be exploring the impact of decisionlevel fusion. Three state-of-the-art object detection and classification models (visual-based, LiDAR-based, and thermalbased) will be employed in parallel, and object predictions will be fused using voting-based (or rules-based) fusion methods. Some questions remain as to the discrepancies that could occur: what can we do to mitigate sensor disagreement? Does the coupling of sensor decisions generally boost confidence or induce confusion? Will different fusion methods provide differing levels of impact to the final solution? Additionally, does this multi-source fusion application transfer well to different scenes? A qualitative and quantitative analysis will be presented for applications of simple and complex fusion methods, and, understanding from past research, we hypothesize that multiple modality perception algorithms boost the final solution by balancing individual sensor strengths and weaknesses. The experiments performed herein will be conducted on a novel multi-sensor autonomous driving dataset created at the Center for Advanced Vehicular Systems (CAVS) at Mississippi State University and in collaboration with the US Army’s Engineer Research and Development Center (ERDC).

Proceedings Article | 13 November 2024 Poster + Paper

Investigation into autolabeling a novel dataset for off-road autonomy using transfer learning

Haley Honigfort, Stanton Price, Samantha Carley, Samantha Butler, Trenton Davis, Lalitha Dabbiru, John Ball, Stephanie Price, Joshua Fairley

Proceedings Volume 13206, 1320617 (2024) https://doi.org/10.1117/12.3031748

KEYWORDS: Image segmentation, Semantics, Machine learning, Visual process modeling, Deep learning, Autonomous vehicles, Autonomous driving

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Proceedings Article | 7 June 2024 Presentation + Paper

Gravitational-inspired wayfinding for drone swarms: a conceptual path planning method

Samantha Carley, Stanton Price, Samantha Butler, Haley Honigfort

Proceedings Volume 13055, 130550E (2024) https://doi.org/10.1117/12.3013947

KEYWORDS: Atmospheric modeling, Unmanned aerial vehicles, Evolutionary algorithms, Orbital dynamics, Solar system

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Proceedings Article | 7 June 2024 Poster + Paper

Investigation into deep learning methods for in-the-wild applications

Haley Land, Stanton Price, Samantha Carley, Samantha Butler, Steven Price

Proceedings Volume 13052, 130520K (2024) https://doi.org/10.1117/12.3021631

KEYWORDS: Object detection, Deep learning, Unmanned vehicles

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Proceedings Article | 7 June 2024 Poster + Paper

Evaluation of hyperspectral data for deep learning model performance

Samantha Butler, Stanton Price, Samantha Carley, Haley Land, Steven Price

Proceedings Volume 13031, 130310R (2024) https://doi.org/10.1117/12.3014030

KEYWORDS: Data modeling, Short wave infrared radiation, Image classification, Education and training, Hyperspectral imaging, Machine learning, Performance modeling, Deep learning, Image sensors, Sensors

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Proceedings Article | 14 June 2023 Presentation + Paper

Initial investigation of UAV swarm behaviors in a search-and-rescue scenario using reinforcement learning

Samantha Carley, Stanton Price, Xian Mae Hadia, Steven Price, Samantha Butler

Proceedings Volume 12549, 125490F (2023) https://doi.org/10.1117/12.2663629

KEYWORDS: Machine learning, Unmanned aerial vehicles, Simulations, Deep learning, Artificial neural networks, Collision avoidance

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Proceedings Article | 12 June 2023 Poster + Paper

Exploring new strategies for comparing deep-learning models

Samantha Butler, Stanton Price, Xian Mae Hadia, Steven Price, Samantha Carley

Proceedings Volume 12538, 125381K (2023) https://doi.org/10.1117/12.2663401

KEYWORDS: Education and training, Convolution, Data modeling, Deep learning, Performance modeling, Object detection, Neural networks, Visual process modeling, Genetic algorithms, Army

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Proceedings Article | 12 April 2021 Presentation + Paper

Investigation of band selection techniques to enable classification of hyperspectral imagery at the edge

Samantha Butler, Stanton Price, Ali Gurbuz, Stephanie Price, Joshua Fairley

Proceedings Volume 11736, 117360L (2021) https://doi.org/10.1117/12.2585591

KEYWORDS: Hyperspectral imaging, Image classification, Image processing, Agriculture, Spectral data processing, Natural disasters, Instrument modeling, Fuzzy logic, Defense and security, Artificial intelligence

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Proceedings Article | 19 May 2020 Paper

Investigation of search strategies to identify optimized and efficient templates for automatic target recognition in remotely sensed imagery

Samantha Carley, Stanton Price, Samantha Tidrick, Steven Price

Proceedings Volume 11394, 1139405 (2020) https://doi.org/10.1117/12.2556816

KEYWORDS: Particle swarm optimization, Detection and tracking algorithms, Genetic algorithms, Machine learning, Visualization, Automatic target recognition, Machine vision

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Showing 5 of 9 publications

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