Autonomous perception and positioning for drones, ground robots, and mobile platforms
operating in GPS-denied and challenging environments
GPS dependency is a fundamental vulnerability in autonomous systems. Signals drop indoors, underground, in urban canyons, and contested environments (exactly when reliable navigation is most critical). Mission failures from GPS loss represent a significant operational risk across commercial and defense applications.
Robust autonomy requires assured positioning without external infrastructure, real-time perception in challenging conditions, and edge-optimized processing on power-constrained platforms.
Enabling autonomy across aerial, ground, and emerging mobile platforms
Drones & UAVs for delivery, inspection, mapping, and surveillance. GPS-denied flight through buildings, under bridges, and in contested airspace.
UGVs & AMRs for warehouses, agriculture, mining, and last-mile delivery. Localization in GPS-denied and feature-sparse environments.
Marine, Off-Road & High-Altitude systems requiring robust positioning. Celestial navigation for space and aerospace applications.
Camera and IMU sensor fusion for continuous pose estimation. Real-time position tracking without GPS infrastructure.
Multi-sensor integration combining vision, inertial, LiDAR, and depth sensors. Loop closure and drift correction for long-duration missions.
Real-time multi-object detection, classification, and tracking. Obstacle avoidance and path planning integration for safe navigation.
Model compression, quantization, and hardware acceleration for real-time performance on embedded platforms. Sub-100ms latency within power budgets.
Deep learning-based positioning using celestial cues for high-altitude UAVs and aerospace applications. GPS-independent global localization.
Optimized perception pipelines for embedded hardware. Hardware-specific tuning for NVIDIA, Qualcomm, and ARM platforms.
Our approach combines multiple sensing modalities (camera, IMU, LiDAR, depth) through robust fusion algorithms that minimize drift and maintain accuracy over extended operations. We address the unique challenges of feature-poor environments, dynamic lighting, and sensor calibration to deliver reliable positioning.
Hardware Platforms: Deep experience optimizing for NVIDIA Jetson (Orin, Xavier), Qualcomm Robotics RB5, and ARM-based edge processors. Leveraging TensorRT, INT8/FP16 quantization, and hardware accelerators for real-time inference.
Imaging Systems: Expertise across CMOS and CCD sensors, NIR/SWIR imaging for low-light and all-weather operation, and multi-spectral sensor integration.
ROS Integration: Compatible with standard robotics frameworks for seamless integration into existing autonomy stacks.
Most autonomous systems companies excel at platform integration and domain expertise but lack specialized bandwidth for cutting-edge navigation and perception R&D. We complement your in-house capabilities with focused expertise in GPS-denied environments, sensor fusion, and edge-optimized AI.
Specialized Expertise: Deep technical capability in visual-inertial navigation, SLAM, and sensor fusion
Flexible Engagement: Co-development model adapts to your platform, sensors, and operational constraints
Platform Agnostic: Support for diverse sensor suites and compute platforms across aerial and ground systems
Production Focus: Practical solutions for real-world deployment, not just research prototypes
Discuss your navigation and perception challenges with our team. We offer time-boxed proof-of-concept projects to validate technical feasibility before full integration commitment.