DroneShield and Overland AI Integrate Counter-Drone System Into Autonomous Ground Vehicle
DroneShield and Overland AI have announced an integration of counter-UAS technology onto the ULTRA autonomous ground vehicle, combining aerial threat detection with ground mobility for defense operations.
The integration pairs DroneShield's DroneSentry-X Mk2 detection system with Overland AI's ULTRA platform, which operates in off-road and contested environments where traditional vehicles cannot reach. The combination addresses a specific vulnerability: as ground systems take on more autonomous responsibilities, they become targets for drone surveillance and disruption.
How the System Works
DroneSentry-X Mk2 uses DroneShield's RfAI engine to detect, identify, and track known and unknown drone threats in real time. The system receives quarterly software updates that refine its detection capabilities against new drone signal profiles and tactics.
Mounted on ULTRA, the detection system extends airspace awareness wherever the vehicle operates. Operators gain earlier warning of drone activity, creating time to assess threats and respond before they escalate.
Operational Advantage
ULTRA's design prioritizes autonomous maneuver and reduced personnel exposure in austere terrain. The vehicle serves multiple roles: reconnaissance, perimeter security, logistics support, and distributed operations. Adding aerial awareness preserves these capabilities while closing a critical gap.
"Autonomous ground systems deliver a decisive advantage when combined with modular payloads," said Byron Boots, CEO of Overland AI. "Integrating DroneSentry-X Mk2 onto ULTRA ensures our platform maintains awareness of aerial threats while preserving the mobility and autonomy ULTRA was built to deliver."
Both companies conducted live demonstrations in representative defense operating conditions to validate performance and interoperability.
The combined solution is available now for defense and government customers. The integration reflects a broader shift toward systems designed to operate cohesively across ground and air domains in dynamic threat environments.
For operations professionals managing autonomous systems or ground vehicle deployments, understanding how detection and mobility integrate becomes essential. AI for Operations covers these integration patterns and their operational implications.
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