visionairy®
SLAM - LiDAR
AI-powered LiDAR technology enables precise, real-time 3D mapping and localization, even in challenging conditions such as dust, fog, and dynamic environments.
Why SLAM - LiDAR?
VISIONAIRY® SLAM – LiDAR fuses AI with LiDAR sensing to deliver real-time, high-precision mapping and localization—even in GPS-denied, dusty, or low-light environments. It outperforms traditional GPS and vision systems by adapting dynamically to complex, changing conditions.
Unlike fixed infrastructure-based solutions, it builds and updates 3D maps on the fly, enabling robust autonomy for robotics, drones, and vehicles in the most demanding scenarios.
Real-time, infrastructure-free navigation
Reliable in low-visibility and GPS-denied areas
AI-boosted precision and resilience
Features
Here are the core features that make VISIONAIRY® SLAM – LiDAR a powerful and reliable solution for precise mapping and autonomous navigation:
Real-Time 3D Mapping - Continuously generates and updates accurate 3D maps of the environment.
Simultaneous Localization - Precisely tracks the system’s position within the mapped space.
AI-Powered Sensor Fusion - Combines LiDAR data with IMU, GNSS, and other sensors for enhanced robustness.
Environmental Resilience - Performs reliably in dust, fog, darkness, and dynamic surroundings.
Loop Closure & Drift Correction - Reduces cumulative errors for long-term navigation accuracy.
Edge-Optimized Performance - Lightweight and efficient, suitable for real-time deployment on embedded systems.
See how it works
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.
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
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
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
300 Hz
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.
Benefits
Accurate 3D Mapping
Creates detailed, real-time maps of any environment.
Autonomous Navigation
Enables safe, self-guided movement without GPS.
Versatile Integration
Works across drones, robots, and vehicles in diverse industries.