Artisense.ai: Precision Visual Navigation for Autonomous Systems

Artisense.ai delivers an advanced visual navigation technology enabling centimeter-accurate positioning in any environment, including GNSS-denied areas like tunnels and urban canyons. Built on deep learning and proprietary sensor fusion, it powers robotics, automotive, and fleet applications with weather-independent reliability and modular customization to address hardware, power, accuracy, and cost requirements.

Key Features:

• Proprietary direct Visual SLAM (VIO) algorithm for seamless positioning without RTK GNSS
• Tight vision-IMU-GNSS fusion supporting 6 Degrees of Freedom output (x,y,z,roll,pitch,yaw)
• Lightweight ArtiSLAM maps with weather/season invariant deep features
• Map-based relocalization ensuring continuous accuracy in challenging environments
• Dynamic object masking to ignore moving vehicles and pedestrians during tracking
• Flexible deployment: Cloud (central map management, offloaded computation), Embedded (safety-critical systems), or Hybrid
• Nano-second time synchronization and covariance tracking for all sensor inputs
• Support for additional sensors including GNSS, wheel odometry, and LiDAR integration
• Reduced R&D time through tailored hardware and environmental optimization
• Preconfigured DevKit evaluations with Intel Realsense D455 and Nvidia Jetson Xavier

Pricing: Artisense.ai provides a free evaluation DevKit and custom enterprise pricing plans.

Conclusion: Artisense.ai sets the new standard for robust visual navigation, making autonomous systems truly adaptable across all real-world scenarios while prioritizing safety and operational efficiency.