Task-Driven in-Field Hardware-in-the-Loop Accelerated Testing and Evaluation Method

Unmanned systems integrate various advanced technologies, finding extensive applications in both military and civilian domains. Current research primarily focuses on control algorithms for unmanned systems, yet effective testing methodologies remain underdeveloped due to diverse operational requirements and scenario complexity. Targeting three mission-critical tasks – target recognition, indoor positioning, and path planning – this paper proposes a hardware-in-the-loop (HIL) simulation-based evaluation system. By establishing scenario-adaptive HIL environments, multi-dimensional metrics are employed to quantitatively assess algorithm performance in operational contexts. The developed HIL accelerated testing platform integrates an embedded computing node for algorithm execution with a software platform visualizing task scenarios and evaluation metrics. This task-driven verification mechanism establishes a standardized framework for algorithm validation, thus significantly enhancing evaluation efficiency and credibility across multiple complex scenarios.