Work

Modeling, analysis, and optimization of random error in indirect time-of-flight camera

Year: 2024

Type: article

Abstract: For indirect time-of-flight (iToF) cameras, we proposed a modeling approach focused on addressing random error. Our model characterizes random error comprehensively by detailing the propagation of error introduced by signal light, ambient light, and dark noise through phase calculation and system correction processes. This framework leverages correlations between incident light and tap responses to quantify noise impacts accurately. We then experimentally validated the theoretical model, confirming its predictive accuracy. Additionally, from a waveform design perspective, we recommend selecting an optimal duty cycle for the light waveform based on the relative intensities of ambient and signal light to effectively reduce random error.

Source: Optics Express

DOI: 10.1364/oe.547731

Authors: Yansong Du, Zhaoxiang Jiang, Jindong Tian, Xun Guan

Institutions: Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen), Shenzhen University

Language: English

Topic: Advanced Optical Sensing Technologies

Subfield: Instrumentation

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,270

Funders: National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province