Modular, sensor-agnostic platforms for autonomous system simulation and real-time perception — from high-fidelity physics to safety-critical deployment.
A modular, agnostic architecture that spans from high-fidelity simulation to safety-critical deployment — on any sensor, any platform, any target.
Purpose-built solutions for autonomous perception and simulation.
Production-Grade LiDAR-Inertial SLAM
Real-time perception for autonomous vehicles and drones. Error-State Kalman Filter with Lie group state estimation, FMCW Doppler velocity exploitation, and ISO 26262-compliant architecture.
Learn moreHigh-Fidelity Physics-Based Sensor Simulation
Full-stack simulation for autonomous systems. CARLA and AirSim integration with physics-based LiDAR, camera, IMU, and GNSS simulation. Test perception algorithms before field deployment.
Learn moreFull Autonomous Flight Perception
Complete autonomous drone perception with PX4 integration. LiDAR-inertial SLAM, 3D object detection and tracking, and hardware-in-the-loop simulation with full 6-DOF dynamics.
Learn moreWorks with any sensor, any platform, any simulator. Pluggable decoders, configurable sensor platforms, and manifest-based deployment.
ISO 26262 and AUTOSAR compliant. Deterministic execution, no runtime allocations, comprehensive assertion coverage, and bounded resource usage.
Physics-based sensor simulation with CARLA and AirSim. Test perception algorithms against diverse scenarios before any field deployment.
Same codebase, automotive and drone products. Shared algorithmic blocks, shared middleware, platform-specific deployment manifests.
Request a demo to see how Laplacian can accelerate your autonomous systems development.
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