Autonomous Driving — Method
Definition, scope boundary, and structural model.
Identity
Autonomous driving describes the operation of vehicles in which perception, decision-making, and motion control are performed by technical systems within defined operational conditions.
It links sensing, decision logic, and execution into a system capable of navigating physical environments without continuous human control.
This reference defines autonomous driving as a system-level concept independent of specific vendors, implementations, or regulatory classifications.
Scope Boundary
Included
- System-level operation of autonomous vehicles
- Perception, decision-making, and control processes
- Defined operational design domains (ODD)
- Interaction with infrastructure and traffic environments
- Integration of sensing, software, and actuation systems
Excluded
- Driver assistance systems without autonomous control
- Vendor-specific technology implementations
- Regulatory interpretation or legal classification
- Operational deployment strategies or business models
- Safety certification or compliance assessment
Structural Phase Model
Phase 1 — Perception
The system acquires data from the physical environment through sensors and external inputs.
Phase 2 — Interpretation
Perceived data is processed and interpreted to construct a representation of the surrounding environment.
Phase 3 — Decision
The system determines appropriate actions based on interpreted data and defined operational constraints.
Phase 4 — Execution
Control commands are applied to vehicle systems to perform the selected actions in the physical environment.
Interpretation Constraint
This reference provides structural terminology and conceptual boundaries only. It does not define implementation methods, regulatory requirements, or certification standards.