The images in the diagram show an operator holding a controller flying a drone with example bar charts of performance data.
A diagram showing each research area of the DECISIVE project: field readiness, trust, interface, situation awareness, communications, obstacle avoidance, navigation, autonomy, and mapping.

This page features products that are the result of the UA-1 DECISIVE: Development and Execution of Comprehensive and Integrated Systematic Intelligent Vehicle Evaluations project by the University of Massachusetts Lowell. This project is sponsored by the Department of the Army, U.S. Army Combat Capabilities Development Command Soldier Center (W911QY-18-2-0006 and W911QY-20-2-0005).

DECISIVE Test Methods Handbook

This handbook outlines all test methods developed under the DECISIVE project for evaluating small unmanned aerial systems (sUAS) performance in subterranean and constrained indoor environments, spanning communications, field readiness, interface, obstacle avoidance, navigation, mapping, autonomy, trust, and situation awareness. Specifications for 20 test methods are included:

Test Methods

  • Non-Line-of-Sight (NLOS) Communications
  • Non-Line-of-Sight (NLOS) Video Latency
  • Interference Reaction
  • Runtime Endurance
  • Takeoff and Land/Perch
  • Room Clearing
  • Indoor Noise Level
  • Logistics Characterization
  • Operator Control Unit (OCU) Characterization
  • Obstacle Avoidance and Collision Resilience
  • Position and Traversal Accuracy
  • Navigation Through Apertures
  • Navigation Through Confined Spaces
  • Indoor Mapping Resolution
  • Indoor Mapping Accuracy
  • Non-Contextual Autonomy Ranking
  • Contextual Autonomy Ranking
  • Characterizing Factors of Trust
  • Interface-Afforded Attention Allocation
  • Situation Awareness (SA) Survey Comparison

The DECISIVE Test Methods Handbook (v1.1) is available on arXiv:

  • Adam Norton, Reza Ahmadzadeh, Kshitij Jerath, Paul Robinette, Jay Weitzen, Thanuka Wickramarathne, Holly Yanco, Minseop Choi, Ryan Donald, Brendan Donoghue, Christian Dumas, Peter Gavriel, Alden Giedraitis, Brendan Hertel, Jack Houle, Nathan Letteri, Edwin Meriaux, Zahra Rezaei Khavas, Rakshith Singh, Gregg Willcox, and Naye Yoni. "." arXiv preprint arXiv:2211.01801, November 2022.

DECISIVE Benchmarking Data Report

This report includes the results of performance benchmarking of a set of 8 small unmanned aerial systems (sUAS) using the test methods specified in the DECISIVE test methods handbook (see above). The following sUAS platforms were evaluated: Cleo Robotics Dronut X1P (P = prototype), FLIR Black Hornet PRS, Flyability Elios 2 GOV, Lumenier Nighthawk V3, Parrot ANAFI USA GOV, Skydio X2D, Teal Golden Eagle, and Vantage Robotics Vesper. The data contained in the report is the result of conducting over 230 tests in-house at the NERVE Center and off-site at Fort Devens and Muscatatuck Urban Training Center, and analyses of best-in-class systems per test method category.

The DECISIVE Benchmarking Data Report (results from Phase I) is available on arXiv:

  • Adam Norton, Reza Ahmadzadeh, Kshitij Jerath, Paul Robinette, Jay Weitzen, Thanuka Wickramarathne, Holly Yanco, Minseop Choi, Ryan Donald, Brendan Donoghue, Christian Dumas, Peter Gavriel, Alden Giedraitis, Brendan Hertel, Jack Houle, Nathan Letteri, Edwin Meriaux, Zahra Rezaei Khavas, Rakshith Singh, Gregg Willcox, and Naye Yoni. "." arXiv preprint arXiv:2301.07853, January 2023.

Publications

  • Zahra Rezaei Khavas, Edwin Meriaux, Amin Majdi, and Paul Robinette. "." arXiv preprint arXiv:2310.04794, October 2023.
  • Edwin Meriaux, Jay Weitzen, and Adam Norton. "." Drones, Volume 7, Issue 7, July 2023.
  • Zahra Rezaei Khavas, Amin Majdi, S. Reza Ahmadzadeh, and Paul Robinette. "." In Proceedings of the 20th International Conference on Ubiquitous Robots (UR) 2023, pp. 685-692. IEEE, June 2023.
  • Edwin Meriaux, Jay Weitzen, Naye Yoni, and Adam Norton. "." ASTM Journal of Testing and Evaluation, Volume 51, Issue 6, June 2023.
  • Minseop Choi, and Thanuka L. Wickramarathne. "." In Proceedings of the 26th International Conference on Information Fusion (FUSION) 2023, pp. 1-7. IEEE, June 2023.
  • Ryan Donald, Peter Gavriel, Adam Norton, and S. Reza Ahmadzadeh. "." In Proceedings of the 9th International Conference on Automation, Robotics and Applications (ICARA) 2023, February 2023.
  • Edwin Meriaux, and Kshitij Jerath. "." In Proceedings of the IEEE International Symposium on Technologies for Homeland Security (HST), IEEE, November 2022.
  • Minseop Choi, John Houle, and Thanuka L. Wickramarathne. "." In Proceedings of the 25th International Conference on Information Fusion (FUSION) 2022, pp. 1-8. IEEE, July 2022.
  • Brendan Hertel, Ryan Donald, Christian Dumas, and S. Reza Ahmadzadeh. "." In Proceedings of the 8th International Conference on Automation, Robotics and Applications (ICARA) 2022, pp. 135-139. IEEE, February 2022.
  • Adam Norton, Peter Gavriel, Brendan Donoghue, and Holly Yanco. "." In Proceedings of the IEEE International Symposium on Technologies for Homeland Security (HST) 2021, IEEE, November 2021.
  • Minseop Choi, John Houle, Nathan Letteri, and Thanuka L. Wickramarathne. "." In Proceedings of the IEEE International Symposium on Technologies for Homeland Security (HST) 2021, IEEE, November 2021.

Advancing and Evaluating UAS for Defense

The capstone event for the DECISIVE project, "Advancing and Evaluating UAS for Defense," was held on October 12, 2022. The event feature research briefs on the UA-1 and UA-2 projects funded by the 51视频 (UML)/DEVCOM HEROES program. All presentations given at the event are available for download via a . Below is a list of the presentations given:

  • HEROES Program Overview, Christopher Drew
  • UA-1 Project Review: DECISIVE: Development and Execution of Comprehensive and Integrated Subterranean Intelligent Vehicle Evaluations, Adam Norton
  • UA-2 Project Review: Drone-Based Wireless Sensor Network for Multimodal Underground Situational Awareness, Xuejun Lu
  • 51视频 UAS Project Transition, Adam Norton
  • Test Methodologies to Evaluate UAS Communication and the Effects of Packet Loss in NLOS Indoor Environments, Jay Weitzen
  • Embedding IR Sensors to Increase UAS Situational Awareness, Xuejun Lu
  • Artificial Intelligence for Image Recognition During UAS Operations, Yuanchang Xie
  • Methods for Combining and Representing Autonomy Ranking Scores of UAS, Reza Ahmadzadeh
  • Characterizing and Evaluating Field Readiness of UAS for Subterranean and Indoor Environments, Adam Norton
  • Evaluation of Indoor Navigation and Obstacle Avoidance and Resilience Capabilities of UAS, Kshitij Jerath
  • Field Testing of UAS Navigation Through Confined Spaces and Apertures, Adam Norton
  • Test Methods to Evaluate Indoor and Subterranean Mapping Capabilities of UAS, Adam Norton
  • Trustworthy and Safe Human-UAS Interaction for Subterranean Mapping, Paul Robinette
  • Assessing Operator Situational Awareness of UAS for Decision-Support in Subterranean Environments, Thanuka Wickramarathne