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Directory

SUNRISE Safety Assurance Framework

UC4.1 – Truck low-speed perception & decision making

Confined areas, with perimeter protections and a reduced risk of unauthorised entry, offer the advantage of a well-defined ODD. These environments and highway use cases are expected to be among the first to support deploying highly automated (L4) heavy vehicle functions, aspects that make them essential to SAF validation efforts.

The reverse parking of a truck with a semitrailer is a strong use case for validating specific aspects of the SAF due to the controlled environment and limited range of possible scenarios. Validation in such spaces benefits from lower speeds and regulated traffic conditions, although the presence of mixed traffic and humans introduces additional complexity.

Use case overview

The use case focuses on the reverse parking manoeuvre of a truck with a semitrailer at a logistic hub. It is a sub use case to automated trucks operating in confined areas.

Objectives

The objective is to demonstrate how the SUNRISE SAF is applied for safety assurance of a reverse backing function focusing on its performance within defined operational conditions and adherence to safety requirements.

SAF blocks demonstrated

Safety case setup

  • CCAM system under test: Automated reverse parking of a truck with a semitrailer driving from a staging area to a docking area at a logistic hub.
  • Operational Design Domain: Confined area
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    Test environments

    The test environments employed include the execution of black-box-testing using full-size truck, 1:14 scale truck and simulations.

    Safety case building

  • Scenario space coverage
  • Safety evidence:
    • Microscopic evaluation (on individual scenarios) of pass/fail results
    • Macroscopic evaluation (statistical analysis) of pass/fail results and comparison with human driving
  • Safety case pass/fail binary result
  • Test scenario allocation
  • Simulation framework execution
  • Coverage-oriented testing
  • Risk-oriented testing: Boundary scenarios identification
  • Aggregate metrics for selected scenarios: coverage
  • Combine results from different test environments to argue ‘macroscopic’ safety margin violation for one logical scenario
  • Verification of simulation results through Proving Ground or Hybrid testing
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    Test scenarios selected

    The logical scenario base consists of all possible positions and orientations (and possibly other dynamic states) that a truck with a trailer could assume within a square staging area, with all environmental parameters (including lighting) set to baseline conditions.

    Key take aways

  • Demonstrated practical application of the SUNRISE SAF
  • Defined and applied clear safety test objectives
  • Validated environment and argument safety blocks in both simulation and physical testing
  • Supported the construction and assessment of a safety case
  • Demo videos

    Freight vehicle automated parking validation / Truck low-speed perception & decision-making testing