低成本红外传感器用于短程跟踪的可行性
Viability of Low-Cost Infrared Sensors for Short Range Tracking
AI总结：
针对机器人外部环境目标跟踪任务，提出采用红外飞行时间传感器的低成本短程跟踪新方法，相比传统摄像头、超声波方案在成本和简洁性上更具优势。
摘要：
机器人领域的一项经典任务是跟踪外部环境中的目标，针对该问题已有多种成熟方案被记载。本文提出了一种利用红外飞行时间传感器解决该问题的新方法。红外飞行时间传感器通常用于简易运动检测器，作为跟踪手段并不常见，但借助本文提出的方法，它们可被用于准确跟踪移动对象的位置。传统的跟踪方案通常采用摄像头或超声波传感器，这些方案成本较高，在部分使用场景中存在性能过剩问题。本文重点研究的方法在成本和简洁性方面更具优势。
英文摘要：
A classic task in robotics is tracking a target in the external environment. There are several well-documented approaches to this problem. This paper presents a novel approach to this problem using infrared time of flight sensors. The use of infrared time of flight sensors is not common as a tracking approach, typically used for simple motion detectors. However, with the approach highlighted in this paper they can be used to accurately track the position of a moving subject. Traditional approaches to the tracking problem often include cameras, or ultrasonic sensors. These approaches can be expensive and overcompensating in some use cases. The method focused on in this paper can be superior in terms of cost and simplicity.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
