Deterministic Safety + Autonomy stack for OEM adoption
FieldSpace is a deterministic end-to-end autonomy stack, engineered for safety cases: explicit failure semantics, reproducible tests, and audit-ready traces. OEMs can adopt it as the primary stack or stage rollout via observer/shadow mode to de-risk integration.
Integrates after your fusion layer (object list / tracks). No new sensor pipeline required, no retraining, and no change to control authority.
Built for adoption: contracts, determinism, validation
OEM teams need components that are measurable, auditable, and safe to integrate. FieldSpace is engineered around deterministic behavior, explicit failure modes, and repeatable test suites.
Compute + latency budget
Designed to live inside your existing compute envelope. Deterministic, low-latency processing suitable for real-time constraints.
- • CPU-friendly runtime path
- • Explicit timing targets and budgets
- • No new sensor pipeline required
Integration patterns
Drop-in as a safety observer: subscribe to fused objects, publish hazards/cost maps/alerts. Works in log replay and on-vehicle parallel runs.
- • ROS 2 topics or service integration
- • Log replay and regression pipelines
- • Planner-ready hazard constraints
Auditability + explainability
Every alert is traceable to structured triggers and bounded rules. Outputs are easy to log, replay, and review in safety cases.
- • Structured hazard output
- • Replayable metrics
- • Documented interface contract
Safety-ready contracts
Defined states (NORMAL/DEGRADED/FAILED), timing guarantees, determinism guarantees, and conservative behavior under degradation.
- • Transparent safety metrics
- • Explainable decisions
- • Safety certification support
Validation suites
Deterministic scenario suites + regression gates: lead time, FP/FN proxies, stability, latency, and memory growth over long runs.
- • Synthetic scenario validation
- • Measured latency benchmarks
- • Lead time improvements
Complements neural perception
Neural perception produces tracks; FieldSpace produces deterministic safety signals and constraints to reduce planner surprises and improve auditability.
- • Consistent behavior under distribution shift
- • Clear failure modes and caps under degradation
- • Designed for replay + safety-case workflows
Why OEMs add deterministic layers
End-to-end neural systems can be powerful, but they are difficult to certify because they lack stable failure semantics. FieldSpace provides a deterministic safety contract around your existing stack.
End-to-end neural (typical pain points)
- Non-determinism: same input may yield different outputs due to stochastic components and drift.
- Unclear failure modes: difficult to bound behavior under distribution shift.
- Audit burden: hard to produce compact, human-readable “why” traces for safety cases.
- Regression risk: retraining can move behavior unexpectedly across scenarios.
FieldSpace methodology (engineering guarantees)
- Deterministic: identical inputs produce bit-identical hazard outputs.
- Contracted states: NORMAL / DEGRADED / FAILED with conservative caps under degradation.
- Planner-ready outputs: hazards + TTC + costmaps + explainability triggers.
- Validation-first: scenario suite + latency and stability gates to catch regressions early.
How OEMs deploy FieldSpace
Deploy FieldSpace as your primary deterministic autonomy stack, or stage adoption by tapping after fusion as a safety observer to de-risk integration. In both cases, outputs are validated, replayable, and audit-ready.
Staged rollout (observer mode)
Inputs We Accept
Object lists you already publish from your perception fusion. This is the preferred path for AV OEMs—no new data pipelines needed.
Low-rate camera stream dedicated to safety analysis if you prefer direct sensor input.
These show up through your fused-object API. We consume them as part of your existing fusion output.
Data Volume Story
We do not ask you to mirror terabits per second of raw sensor data. For Aurora-like stacks, we consume:
- ●Object list / tracks you already publish (KB/s, not TB/s)
- ●Or a low-rate camera stream dedicated to safety analysis
- ●Our PDE field runs on a compressed grid representation (256×64)
Bottom line: "I have terabits per second coming off 13 cameras plus multiple LiDARs; I can't just duplicate that" — you don't have to. We tap your existing fusion output.
Compute Budget
FieldSpace is designed to live inside your existing compute envelope, not demand a new ECU.
Reference hardware: Intel i7 / NVIDIA Orin / equivalent ARM
OEM evaluation playbook
A practical, engineering-driven evaluation that plugs into your existing replay and safety workflows.
Suggested KPIs
The Long-Tail Safety Challenge
Autonomy teams know that the hardest scenarios—debris, occlusions, sliding cargo—account for a small percentage of miles but a large share of safety risk. FieldSpace is designed to help address these cases with physics-based hazard reasoning.
Long-Tail Scenarios
A small fraction of driving scenarios accounts for a disproportionate share of perception challenges and safety risk
Mean Lead Time
Internal Safety Suite shows earlier hazard alerts compared to baseline in synthetic scenarios
p99.9 Latency
Safety Observer pipeline measured at under 4ms for 99.9% of frames at 40 Hz on reference hardware
FieldSpace Safety Observer
Deploy as a safety observer beside perception, or run the full deterministic stack as an engineering harness for end‑to‑end validation. Produces structured hazards, cost maps, and safety envelopes for your planner.
Seamless Integration Process
Our proven integration methodology gets your vehicles to market quickly with minimal disruption to your existing development processes.
Discovery & Planning
Deep dive into your vehicle architecture, requirements, and integration goals. Define technical specifications and timeline.
Hardware Assessment
Evaluate existing camera systems and compute units. Recommend minimal hardware upgrades if needed.
Software Integration
Integrate FieldSpace ADS with your vehicle's CAN bus, sensors, and control systems. Custom API development.
Testing & Validation
Comprehensive testing program including closed-course, public road, and edge case validation. Safety certification support.
Integration Support Package
Technical Support
- ✓Dedicated integration engineer
- ✓24/7 technical hotline
- ✓Comprehensive API documentation
- ✓Sample code and SDKs
Business Support
- ✓Regulatory compliance guidance
- ✓Marketing and launch support
- ✓Joint PR and co-marketing
- ✓Training for your team
White-Label Solutions
Deliver FieldSpace technology under your brand with fully customizable interfaces, features, and user experiences.
Custom User Interface
Design the autonomous driving interface to match your brand guidelines and user experience standards.
- • Brand-consistent design language
- • Custom icons and animations
- • Configurable dashboard layouts
- • Voice command integration
Feature Configuration
Choose which autonomous driving features to enable based on your market positioning and regulatory requirements.
- • Selectable autonomy levels
- • Custom safety profiles
- • Regional compliance settings
- • Performance tuning options
Data Ownership
Maintain full control over your customer data and vehicle telemetry with flexible data sharing agreements.
- • Customer data remains yours
- • Configurable telemetry sharing
- • Privacy-compliant by design
- • Custom analytics dashboards
White-Label Benefits
Revenue Model
License FieldSpace technology as your own proprietary system
Market Position
Differentiate from competitors with superior autonomy
Time to Market
Launch autonomous vehicles in months, not years
Risk Mitigation
Proven technology reduces development risks
Technical Specifications
FieldSpace ADS delivers industry-leading performance with minimal hardware requirements and maximum compatibility.
Internal Benchmarks
Note: Internal benchmarks on reference hardware. Pilot KPIs measured on your platform.
Integration Requirements
API Integration Points
Vehicle Control
Steering, acceleration, braking integration via CAN bus
Sensor Fusion
Camera feeds, GPS, IMU data processing
HMI Interface
Dashboard display, voice commands, mobile app
Ready to evaluate a deterministic full stack?
Run the full deterministic stack on your logs and scenarios and produce replayable metrics + traces for safety review. If you prefer staged adoption, we can start in observer/shadow mode and expand scope after validation.