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A Fail-Operational Control Architecture Approach and Dead-Reckoning Strategy in Case of Positioning Failures.

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This study introduces a fail-operational control architecture for automated driving systems. It ensures passenger safety and comfort during failures by planning new trajectories and avoiding collisions.

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Area of Science:

  • Robotics
  • Control Systems Engineering
  • Automotive Engineering

Background:

  • Current automated driving systems often rely on hardware redundancy or human intervention for failure management.
  • Ensuring safe states is crucial for user confidence and acceptance of autonomous technology.
  • Automated fall-back strategies are necessary for systems performing dynamic driving tasks.

Purpose of the Study:

  • To develop and present a fail-operational control architecture for automated driving systems.
  • To introduce a dead-reckoning strategy to handle positioning failures.
  • To ensure passenger safety and comfort during automated driving system failures.

Main Methods:

  • A fail-operational control architecture was designed to detect positioning source failures.
  • A dead-reckoning strategy was implemented for real-time trajectory planning post-failure.
  • Vehicle motion control considered surrounding objects and road borders for collision avoidance and lane-keeping.

Main Results:

  • The proposed system successfully detected positioning failures and initiated a fall-back strategy.
  • Real-time trajectory planning was achieved while maintaining vehicle control.
  • Simulations in a realistic urban scenario demonstrated the system's effectiveness.

Conclusions:

  • The developed fail-operational control architecture enhances the reliability of automated driving systems.
  • The dead-reckoning strategy provides a robust solution for positioning failures.
  • The approach prioritizes passenger safety and comfort during failure-induced maneuvers.