Localization of Stereovision for Measuring In-Crash Toeboard Deformation.

Area of Science:

• Automotive Safety Engineering
• Robotics and Control Systems
• Experimental Mechanics

Background:

• Accurate measurement of vehicle interior deformation during crashes is critical for safety analysis.
• Existing methods for toeboard deformation measurement face challenges in dynamic and complex crash environments.
• Precise localization of measurement sensors, like stereo cameras, is essential for reliable data acquisition.

Purpose of the Study:

• To develop and validate a robust technique for localizing a stereo camera system for in-crash toeboard deformation measurement.
• To enable accurate deformation measurements within a fixed coordinate system, accounting for crash dynamics.
• To integrate inertial measurement units (IMUs) and a localization camera with the stereo camera for enhanced pose estimation.

Main Methods:

• A sensor suite comprising a stereo camera, IMUs, and a localization camera was designed and implemented.
• An extended Kalman filter was employed for recursive estimation of the stereo camera's pose using IMU and localization camera data.
• The technique's performance was evaluated through stepwise investigations and controlled tests, including a full-scale vehicle crash test.

Main Results:

• The proposed localization technique successfully enabled the stereo camera to measure toeboard deformation during an actual vehicle crash test.
• The system effectively captured oscillation motions during the crash, allowing for deformation description in a fixed coordinate system.
• Validation confirmed the feasibility and accuracy of the integrated sensor and filtering approach for dynamic deformation measurement.

Conclusions:

• The developed stereo camera localization technique provides a reliable method for measuring in-crash toeboard deformation.
• Integration of IMUs and a localization camera with an extended Kalman filter enhances measurement accuracy in dynamic crash scenarios.
• This approach facilitates a better understanding of vehicle structural response during collisions, contributing to improved automotive safety.