Physics Engine
Production-grade physics simulation engine that powers real-time autonomous perception through deterministic physical modeling.
Engine Architecture
High-performance modular system designed for real-time autonomous vehicle deployment
Real-Time Core
Sub-10ms processing pipeline with deterministic execution guarantees for safety-critical operations.
- • Lock-free concurrent processing
- • Memory pool allocation
- • SIMD optimization
- • Zero-copy data flow
Compute Engine
GPU-accelerated physics calculations with adaptive precision for optimal performance-accuracy balance.
- • CUDA kernel optimization
- • Multi-precision arithmetic
- • Dynamic load balancing
- • Hardware abstraction layer
Data Pipeline
High-throughput sensor data processing with automatic quality assessment and error correction.
- • Multi-camera synchronization
- • Automatic calibration
- • Noise reduction algorithms
- • Data integrity validation
Beyond Machine Learning
Traditional autonomous systems rely on pattern matching from training data. FieldSense uses fundamental physics to understand reality as it actually is.
Continuous Physics Modeling
Objects modeled as continuous fields, not discrete pixels
Deterministic Predictions
Physics-based motion modeling with mathematical certainty
Zero-Shot Edge Cases
Handles unprecedented scenarios through first principles
Technical Specifications
Production-ready performance metrics and system requirements
Deploy Physics-First Autonomy
Ready to integrate production-grade physics modeling into your autonomous systems?