Stand-off Casualty Assessment Challenge
Courses
Advancing Autonomous Triage Systems
In Challenge Event 1, teams were challenged to perform stand-off evaluations of simulated casualties on three courses. Teams navigated through various terrain, physical obstacles while observing a minimum stand-off distance of 1 meter. Geolocation of casualties was not part of this event.
During primary triage in the field, casualties are assessed to determine priorities for treatment on scene and transport of patients to hospital.
Qualified funded and unfunded teams participated in the competitions, striving to advance the use of autonomous systems for rapid, stand-off casualty assessment to facilitate timely and accurate medical triage.
The objective of the Systems competition is to detect and identify physiological signatures of injury derived from data captured by stand-off sensors onboard autonomous systems. This will enable early prioritization of casualties in primary triage, allowing medical care professionals to quickly focus on the most urgent casualties.
Required Skills
Autonomous systems, sensors, User Interface development, machine learning, medical knowledge
Leaderboard
Only self-funded teams who score within the top five are eligible for prize money in the first two years. Final score is the average of the top two runs.
| Teams | Score | 1 | 2 | 3 |
|---|---|---|---|---|
| DART | 92.5 | 79 | 61 | 106 |
| Coordinated Robotics * | 84.0 | 77 | 52 | 91 |
| RoboScout | 73.0 | 71 | 37 | 75 |
| Chiron | 62.0 | 71 | 53 | 28 |
| UAS-DTU* | 40.5 | 13 | 54 | 27 |
| Engineering Dynamics* | 31.0 | 0 | 62 | 0 |
| PRONTO | 30.5 | 0 | 56 | 0 |
| AIR TAGS | 14.5 | 29 | 0 | 0 |
| POINTER | 9.5 | 0 | 19 | 0 |
| RAPID | 9.0 | 0 | 0 | 18 |
| TTT | 0.0 | 0 | 0 | 0 |
*Self-funded
*Total system should fits in a single vehicle
Overview
