Modeling and Motion Error Analysis of a Time-of-Flight Image Sensor

In dynamic scenes, the high-frequency and multi-phase operation of a time-of-flight image sensor will produce motion blur, causing incorrect three-dimensional original data in the motion area, and increasing the difficulty of circuit design. This paper proposes a time-of-flight image sensor model in a dynamic scene to reduce the impact of motion blur. The model can quickly complete the sensor parameter setting through simple parameter settings, which is used to simulate three-dimensional images in dynamic scenes under various conditions to analyze motion errors. The effect of motion error on imaging quality under different motion speeds and frame rates is analyzed using the imaging model, and the difference in imaging quality between the two exposure modes in dynamic scenes is investigated. Finally, the optimal imaging indicators are obtained, with high imaging quality and low circuit design difficulty. The imaging model is evaluated using a Texas Instruments time-of-flight camera, and the verification results show that the model's simulation data can effectively match the camera's measured data in both static and dynamic scenes.