Primordial

Videos

Tentacle: Downed Pilot

Tentacle: Idle Alert

Tentacle: Live Search

Ground Guidance: Route Analysis and Selection

In this demonstration, Ground Guidance simultaneously plans pedestrian, constant power, least energy off-road routes.  It presents each route's distance (miles), duration (minutes), and energy (kilocalories).  Before planning a route, the user may edit its maximum effort (kilocalories per hour), load weight (pounds), maximum slope (degrees), and body weight (pounds).  After planning a route, the user may analyze each route's effort (kilocalories per hour), elevation (feet), footing, slope (degrees), and speed (miles per hour).

Ground Guidance: Load Analysis and Distribution

This demonstration shows Ground Guidance's load analysis tool.  For each soldier in a unit, the tool presents a load weight (pounds), load percentage, and expected effort (kilocalories per hour) given a footing, slope (degrees), and speed (miles per hour).  One can also view each soldier's duty position (e.g. company commander), body weight (pounds), duty-specific equipment (pounds), and mission-specific equipment (pounds).  Finally, one can equalize the load using one of three metrics: load weight, load percentage, or expected effort.

Bedlam: Two Raven UAVs Tracking an Evasive Ground Vehicle

Primordial's Bedlam software routing two AeroVironment Raven unmanned aerial vehicles (UAVs) as they track an adversarial ground vehicle. The target's actual track is in red and predicted track is in orange. Each UAV's actual track is in blue and planned route is in gray. The white boxes show each UAV's sensor footprint.

Bedlam leverages Primordial's Ground Guidance software to identify probable fast and concealed routes for the tracked vehicle and deploys unmanned assets to maximize visual coverage. In trials, Bedlam outperformed its predecessor, Surveyor, 71% of the time.

Bedlam: One Raven UAV Tracking an Evasive Ground Vehicle

Primordial's Bedlam software routing one AeroVironment Raven unmanned aerial vehicle (UAV) as it tracks an adversarial ground vehicle. The target's actual track is in red and predicted track is in orange. The UAV's actual track is in blue and planned route is in gray. The white box shows the UAV's sensor footprint.

Bedlam leverages Primordial's Ground Guidance software to identify probable fast and concealed routes for the tracked vehicle and deploys unmanned assets to maximize visual coverage. In trials, Bedlam outperformed its predecessor, Surveyor, 71% of the time.

GPS Tuner: Off-Road Navigation iPhone App from GPS Tuner

Visual Navigation

Primordial, Evolution Robotics, and Dr. Clark Olson from the University of Washington, Bothell developed a vision-based autonomous navigation system for soldiers on a global positioning system (GPS)-denied battlefield. The prototype leveraged visual odometry techniques based on the approach used by the Mars rovers to perform localization using a single low-cost camera. The ultimate goal is to replace unreliable dead reckoning modules (DRMs) used by soldiers for positioning in caves, urban canyons, and indoors.