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NST α

NST α is the internal framework for NST Performance’s vehicle research. It organizes vehicle access, recorded data and future compute integration into a staged development program.

Platform Definition

Applied research platform

The framework starts with the vehicle and its available interfaces. Each later layer depends on usable data from the layer before it: network access, acquisition, processing and analysis. The architecture also reserves space for future sensing and decision-system experiments.

  • Vehicle data acquisition
  • CAN bus integration
  • Embedded compute workflows
  • Architecture and system studies
NST alpha platform
Explorer ST Research Vehicle

Explorer ST platform

VehicleFord Explorer ST
RolePractical research vehicle for data access, telemetry, compute, and architecture studies.
FocusVehicle data acquisition, embedded compute integration, and future intelligent systems experimentation.
LocationSouth Bend, Indiana
System Architecture Diagram

System architecture

PLATFORM ARCHITECTUREVehicle platform data layer embedded compute decision systemsVehicle PlatformFord Explorer STCAN Bus AccessDiagnostics / network captureData AcquisitionLogging / telemetry / eventsEmbedded ComputeJetson-class edge systemsSystem OutputAnalysis / experimentation toolsDecision LayerDriver-assist researchSensing / FusionPlatform inputs / system modeling
Data + Compute Workflow

Research workflow

Vehicle AccessPlatform diagnostics, interface visibility, and network capture.
TelemetryEvent logging, data capture, and engineering visibility across the platform.
Embedded ComputeJetson-class pathways for analysis, orchestration, and edge workflows.
Decision SystemsLonger-term studies connecting platform intelligence to future assist-system research.
Future Research Direction

Future research direction

Development proceeds by validating each layer before expanding the next. Embedded compute, sensing and decision-system integration are research directions; the architecture diagram describes the intended structure, not a claim that every layer has been implemented.

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