AI Autonomy Kit

  • Sensor fusion Al algorithms
  • Low SWAP Hybrid INS + Sensor Inputs
  • End Point Positioning Error < 0.5%
  • Composite radio shielding
  • Mission planner for GNSS-denied
  • No maps required
Order Delivery
AI Autonomy Kit

AI Autonomy Kit

Fixed Wing

Fixed Wing

Multi Rotor

Multi Rotor

VTOL

VTOL

Technical specifications

Body material:

Multilayer carbon, anisotropic structure + PEI impurities. Fastening from below surface on additional dampers, for vibration isolation.

Dimensions:

W x L x H: 150 x 134 x 73 mm

Weight:

The entire system, including our IMU, edge compute, Al-powered flight control and composite enclosure, weighs only 800g, making it lightweight and easy to install on various types of UxV platforms.

Power:

Standard +5V power supply
Max current consumption: 10A, peak of 12A, 50W, Voltage/rated input current: 4.1-5.7 V / 2.5 A,
Output/input power: 14 W, USB port voltage/rated input current: 4-5.7 V / 250 mA,
Servo rail input voltage: 3.3 V / 5 V

Included Sensor Array:

Accelerometer, Gyroscope, Compass, Barometer, Multi-vector Airflow (also allows the input of various additional sensors)

Connectivity:

Bavovna seamlessly connects to power, CAN, PWM, RF comm, GPS, optical flow, and other sensors, providing flexibility and compatibility across UV platforms

Mission Planner:

The Bavovna Mission Planner displays Bavovna as an optional Al-powered navigation system to allow mission execution through GPS-denied / EW-threatened areas while offering an advanced API and Ul based on the Ardupilot open-source platform

Flight Controller:

Bavovna uses PX Cube as an internal flight controller, ensuring reliable and accurate control of UVs.  Bavovna can also output synthetic GPS coordinates directly into your platform’s existing flight controller

EMI-protected Case:

Bavovna’s EMI-protected case has undergone EMF resistance tests, ensuring reliability and durability in a variety of conditions.

End Point Positioning Error (EPPE):

The range of EPPE is minimal with simple trajectories, without additional maneuvers. On a sophisticated trajectory, Bavovna maintains an EPPE < 0.5% at a range of 30 km.

SIGINT RF and Other Modules:

UxVs using Bavovna’s Autonomy Kit can be integrated with various payloads, including radio repeaters, sensors, and SIGINT RF modules, allowing various mobile ISR and engagement capabilities in aggressive EW environments

No maps required:

The Bavovna system does not rely on power-hungry computer vision or unreliable maps of the flight environment

Bavovna Autonomy Onboarding Path

UV Platform Evaluation

STEP 01

UV Platform Evaluation

Delivery of two Autonomy  Developer Kits

STEP 02

Delivery of two Autonomy Developer Kits

Integration of the Dev Kits into your UV Platform

STEP 03

Integration of the Dev Kits into your UV Platform

Flight training (~100 hrs)

STEP 04

Flight training (~100 hrs)

Sensor fusion, AI model training and fine-tuning

STEP 05

Sensor fusion, AI model training and fine-tuning

Verification and validation of autonomous flight

STEP 06

Verification and validation of autonomous flight

Order Delivery

Comparison to other Non-GPS Nav Systems

Type
Range
Accuracy
Nature of errors

Inertial Navigation Systems (INS)

Short
80%

Drift, biases, cumulative error of integration

Radio (eg: VOR, LORAN, TACAN)

Short
90%

Signal interference and propagation delays

Landmark (optical)

Short
95%

Environmental conditions and landmark changes

Magnetic

Short
95%

Distortion by ferromagnetic, electrical currents and geological formations

Bavovna Al-enhanced H-INS

Long
>98%

Hybrid systems can be affected by the combined errors of the systems they integrate, especially if one system’s errors are not adequately compensated by others.
Using continuous ML decreases the error rate.

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