Bradley M2A3/M3A3 Embedded Training System (BETS): Initial User Assessment
Abstract
This report documents a limited user test of the prototype Bradley Embedded Training System (BETS). The BETS is designed to be an on-vehicle system, using vehicle hardware and software, and the same training device software as the already fielded BATS, Bradley Advanced Training System. Nineteen M2A3 Bradley-qualified soldiers performed two gunnery exercises using the BETS and reported their initial impressions about the device and its potential usage. Preliminary results indicated that user satisfaction was high, and potential good. Further research is necessary to determine BETS use in training and operational environments.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Installing new sensors would not be necessary to find and gather the data for Uptake's predictive maintenance strategy.
“Installing new sensors would not be necessary to fnd and gather the data.”
From Artificial Intelligence in the Military: An Overview of the Capabilities, Applications, and Challenges (2023) · cites this paper as [47]
Uptake Technologies' predictive analytics software was test-run on several Bradley M2A3 assault vehicles to predict vehicle and/or part failure by monitoring data from current sensors and telematics such as GPS.
“Te latter is true for a test run of Uptake Technologies' predictive analytics software for several Bradley M2A3 assault vehicles.Te Bradley M2 is an extensively armored transport vehicle from BAE (British Aerospace Engineering) systems [47].By monitoring and analyzing the data gathered from current sensors and telematics, such as GPS, while the vehicle is in operation, the objective is to predict”
From Artificial Intelligence in the Military: An Overview of the Capabilities, Applications, and Challenges (2023) · cites this paper as [47]
Cites
Bradley Fighting Vehicle M2/M3 A3: Training and Soldier System Observations
Salter, M. S. (2001) · doi:10.21236/ada392633 · Cited by 1 · see citing works
Self-citation
Flagged first, then by citations
1 of the 2 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Rashid, A. B., Kausik, A. K., Al Hassan Sunny, A., & Bappy, M. H. (2023) · International Journal of Intelligent Systems · doi:10.1155/2023/8676366 · Cited by 143 · see citing works
“Te Bradley M2 is an extensively armored transport vehicle from BAE (British Aerospace Engineering) systems [47].”
BackgroundLiu, Y., Gao, X., Shi, J., Deng, L., Chen, L., & Wu, J. (2021) · Lecture notes in electrical engineering · doi:10.1007/978-981-15-8155-7_375 · Cited by 4 · see citing works
- Authors
- Rich, K. L., & Salter, M. S.
- Publisher
- Defense Technical Information Center
- Published
- 2002-08-01
- OpenAlex
- W99342529
- Cited by
- 2
- References
- 2
- Citations by year
- 2023: 1 · 2021: 1
- Type
- report
- Language
- en
- Open access
- closed
- Locations
- Defense Technical Information Center (DTIC) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Simulation and Modeling Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Keywords
- gunnery training, user satisfaction, user evaluation, prototype testing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
