Intelligent networking for secure mobility

Protected 360° Situational Picture

Crew members of military vehicles need more than just a camera image. They need a reliable, low-latency understanding of what is happening around the platform, day and night, in complex terrain and in unclear operational environments.

VAIVA develops perception and assistance concepts that combine multi-sensor data into a coherent 360° situational picture of the vehicle surroundings. Camera, thermal, radar, vehicle dynamics, and mission system data can be fused to support drivers, commanders, or a "Remote Operator" with prioritized alerts and action-relevant information.

The result: better detection, faster interpretation, and improved controllability without unnecessary additional cognitive load.

Developed for the reality of protected mobility

A 360° situational awareness system must function where conventional visibility reaches its limits. For tactical trucks and protected mobility platforms, the system can support, among other things:

• Low-visibility perception in darkness, rain, or otherwise restricted visibility conditions

• Collision and blind-spot warning around the entire vehicle perimeter

• Obstacle and terrain risk detection during tight maneuvers and complex routes

• Rollover-risk prediction by combining perception and vehicle dynamics data

• AI-supported anomaly detection for unusual motion patterns, sensor inconsistencies, or electromagnetic or spectral irregularities

• Prioritized operator alerts aligned with mission relevance 

The focus is on robust assistance: helping the crew understand the situation, maintain control, and make better decisions under operational conditions – over the maximum mission duration.

Mission-oriented AI and sensor fusion

VAIVA brings automotive-grade perception, prediction, simulation, and safety engineering into defence-relevant systems. We support customers in the development and validation of AI-supported functions that are explainable, testable, and aligned with the operational role of the platform.

Our work can include, among other things:

• Sensor Fusion and Perception
  Combination of RGB, IR, radar, and vehicle-state data into a reliable environmental model; active and passive sensors according to mission requirements 

• Prediction and Risk Assessment
  Anticipation of motion trajectories, collision risks, terrain hazards, and rollover-critical situations

• Operator Assistance Logic
  Design of warnings and assistance functions with consideration for driver workload, mission context, and controllability

• AI-supported Anomaly Detection
  Detection of unusual sensor patterns, unexpected object behavior, degraded perception quality, or spectral irregularities that can affect the reliability of mission systems

• Simulation and Validation
  Virtual testing of edge cases before field trials, including restricted visibility, sensor degradation, complex maneuvers, and multi-object scenarios