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Introducing a Development Method for Active Perception Sensor Simulations Using Continuous Verification and

Kristof Hofrichter¹, Lukas Elster², Clemens Linnhoff²

¹Institute of Automotive Engineering, Technical University of Darmstadt, Otto-Berndt-Straße 2, 64287 Darmstadt, Germany.

Sensors (Basel, Switzerland)

|December 31, 2025

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This summary is machine-generated.

This study introduces a new method for credible simulation of active perception sensors like lidar and radar. It ensures reliable sensor simulations for developing safer automated driving functions.

Area of Science:

Automotive Engineering
Computer Science
Robotics

Background:

Real-world testing for automated driving functions faces limitations in cost, safety, and scalability.
Accurate perception of the vehicle's environment relies on active sensors like lidar and radar.
Ensuring the credibility of sensor simulations is a key challenge in developing automated driving systems.

Purpose of the Study:

To present a novel method for efficient and credible realization and validation of active perception sensor simulations.
To integrate a continuous verification and validation approach into the development process for safety-critical automated driving functions.
To demonstrate practical approaches for validating measurement data and deriving acceptance criteria.

Main Methods:

Keywords:

credible perception sensor simulation lidar simulation sensor model validation simulation development virtual validation

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Iterative implementation of sensor effect requirements into the simulation.

Continuous verification and validation at each iteration of the simulation development.

Development of methods for validating measurement data and defining acceptance criteria.

Main Results:

A novel method for efficient and credible active perception sensor simulation is proposed.
The method integrates continuous verification and validation throughout the development process.
Practical approaches for data validation and acceptance criteria derivation are presented.

Conclusions:

The proposed method enhances the credibility of sensor simulations for automated driving functions.
Continuous verification and validation are crucial for ensuring the safety augmentation of these systems.
The approach, demonstrated with lidar simulation, offers a robust framework for sensor simulation development.