A Simulation Framework for Time-Of-Flight Sensors

M. Keller, J. Orthmann, A. Kolb, V. Peters
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引用次数: 27

Abstract

Modern time-of-flight (TOF) cameras enable the measurement of full-range distance information in real time. The distance information can be calculated by estimating the elapsed time between the emission and the receiving of active light. The simulation of sensors is an essential building block for hardware design and application development. Thus, expensive prototypes can be omitted and down-stream algorithms, e.g. for sensor calibration and sensor data processing, can be tested. This paper deals with the simulation of camera-like time-of-flight sensors and focuses particularly on the manipulation of camera parameters and the generation of synthetic sensor data in real-time. The sensor framework provides tools for object and camera manipulation as well as animation. All relevant parameters for the camera-like sensor, object appearance and per-pixel sensor information are available to the TOF-sensor simulation unit (SSU), which realizes the specific sensor characteristics. Moreover, we present a first concept of the simulation of photonic mixing device (PMD) sensors. The framework is hardware accelerated to allow for interactive simulator feedback, making use of the programmability of modern graphics processing units (GPUs), i.e., of vertex and fragment programs.
一种飞行时间传感器仿真框架
现代飞行时间(TOF)相机能够实时测量全范围距离信息。距离信息可以通过估计发射和接收有源光之间的经过时间来计算。传感器仿真是硬件设计和应用开发的重要组成部分。因此,可以省去昂贵的原型,并可以测试下游算法,例如用于传感器校准和传感器数据处理的算法。本文研究了类相机飞行时间传感器的仿真,重点研究了相机参数的处理和实时合成传感器数据的生成。传感器框架为对象和相机操作以及动画提供了工具。类相机传感器的所有相关参数、物体外观和逐像素传感器信息都提供给tof传感器仿真单元(SSU),该单元实现了特定的传感器特性。此外,我们提出了模拟光子混合装置(PMD)传感器的第一个概念。该框架是硬件加速的,以允许交互式模拟器反馈,利用现代图形处理单元(gpu)的可编程性,即顶点和片段程序。
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