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visionairy®
Terminal Guidance
Enables unmanned systems to execute precise final approach maneuvers toward fixed or mobile targets, ensuring accuracy, timing, and mission assurance during critical tasks such as target acquisition, effects delivery, or ingress into contested and GPS-denied environments.
Why Terminal Guidance?
While most autonomous systems struggle with accuracy in the last meters, Terminal Guidance bridges that gap with advanced vision-based alignment and control.
It delivers precise, real-time maneuvering even in visually complex or GPS-denied environments, giving you unmatched confidence where it matters most.
Precision Final Approach
Vision-Based Control
Mission-Ready Performance
See how it works


Benefits
Lightweight and Efficient
Runs efficiently on small, low-power hardware
Robust Tracking
Maintains target lock even during occlusion or visual interruptions
Seamless Integration
Works seamlessly with any Autopilot and Visionairy systems
Features
Unlock precise, safe, and intelligent landings with Spleenlab’s Precision Landing. Engineered for reliability in complex environments, it delivers advanced capabilities that go beyond standard descent systems.
Visual Target Alignment - Detects and aligns to the designated objective using onboard camera feed.
Adaptive Trajectory Correction - Adjusts heading, velocity, and orientation to approach the target with sub-meter accuracy.
Occlusion Handling - Maintains reliable tracking even when targets are partially obstructed.
Markerless or Marker-Based Support - Operates with natural features, designated patterns, or visual landing pads.
Configurable Behavior Triggers - Supports mission-specific logic—e.g., hold position, initiate drop, or switch to manual override.
GPS-Denied Operation - Functions reliably without dependence on GPS
These performance metrics are for demonstrative purposes only, based on configurations with proven results. Actual performance may vary by setup. Our algorithms are optimized for use with any chip, platform, or sensor. Contact us for details.
Update Rate
5-10 Hz
Initialization Time
<10 seconds
Approach Accuracy
±0,2m (depending on the scene)
Target speed (for moving target)
Up to 30km/h
Operating Range
Line-of-sight or sensor-limited
Latency
<100 ms
Supported companion hardware
Nvidia Jetson, ModalAI Voxl2 / Mini, Qualcomm RB5, IMX7, IMX8, Raspberry PI
Supported flight controllers
PX4, APX4, Ardupilot
Basis-SW/OS
Linux, Docker required
Interfaces
ROS2 or Mavlink
Input - Sensors
Any type of camera (sensor agnostic)
Input - Data
• Camera's video frames
• Aerial vehicle’s odometry
• Aerial vehicle’s current flight height
• Intrinsic & extrinsic sensor calibration
Output - Data
• Navigation of the Aerial vehicle
• Position commands for the Autopilot
• Velocity and orientation commands for the Autopilot
Minimum
Recommended
RAM
2 GB
4 GB
Storage
20 GB
50 GB
Camera
640 x 480 px, 10 FPS
1920 x 1080 px, 30 FPS
IMU
100 Hz or GPS
300 Hz or GPS
The information provided reflects recommended hardware specifications based on insights gained from successful customer projects and integrations. These recommendations are not limitations, and actual requirements may vary depending on the specific configuration.
Our algorithms are compatible with any chip, platform, sensor, and individual configuration. Please contact us for further information.
Performance Metrics
Position accuracy
±2.5 cm in typical environments
update rate
Up to 200 Hz
initialization time
<1 second
Maximum Velocity
20 m/s with full accuracy
Operating Range
Unlimited (environment-dependent)
Drift
<0.1% of distance traveled
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Spleenlab GmbH is a highly specialized AI perception software company founded with the vision of redefining safety and artificial intelligence.
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Spleenlab GmbH | All Rights Reserved