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Performance comparison of Infrared and Ultrasonic sensors for obstacles of different materials in vehicle/ robot navigation applications

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TLDR
In this article, the performance comparison of ultrasonic and infrared measurement techniques across obstacles of different types of materials was presented, based on the data acquired from the sensors, correlation analysis of the measured distance with actual distance performed.
Abstract
In robotics, Ultrasonic sensors and Infrared sensors are commonly used for distance measurement. These low-cost sensors fundamentally address majority of problems related to the obstacle detection and obstacle avoidance. In this paper, the performance comparison of ultrasonic and infrared measurement techniques across obstacles of different types of materials presented. The Vehicle model integrated with the sensors, moving with constant velocity towards different types of obstacles for capturing the distance parameter. Based on the data acquired from the sensors, correlation analysis of the measured distance with actual distance performed. This analysis will be very much useful, to select the right sensor - Ultrasonic sensor / Infrared sensor or a combination of both sensors, while developing the algorithm for addressing obstacle detection problems. The detection range and inherent properties of sensors (reflection/ absorption etc.) also were tested in this experiment.

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References
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Journal ArticleDOI

Using infrared sensors for distance measurement in mobile robots

TL;DR: A new IR sensor based on the light intensity back-scattered from objects and able to measure distances of up to 1 m is described and the expected errors in distance estimates are analysed and modelled.
Journal ArticleDOI

Navigation of mobile robots in the presence of obstacles

TL;DR: This paper presents software simulation of navigation problems of a mobile robot avoiding obstacles in a static environment using both classical and fuzzy based algorithms.
Journal ArticleDOI

Sensor-based fuzzy navigation of an autonomous mobile robot in an indoor environment

TL;DR: The proposed navigator combines two types of obstacle avoidance behaviors, one for the convex obstacles andOne for the concave ones, which illustrate the robustness of a fuzzy logic approach with regard to sensor imperfections.
Journal ArticleDOI

Distance Estimation With a Long-Range Ultrasonic Sensor System

TL;DR: In this paper, the results of tests conducted with an ultrasonic proximity measurement system (composed of Polaroid 600 sensors and a Sonar Ranging Module SN28827), which is used in sensory subsystems in many mobile robots.
Proceedings ArticleDOI

An optical triangulation method for non-contact profile measurement

TL;DR: A triangulation based range sensor for non-contact profile measurement, based on the triangulated principle, which is highly independent from optical surface properties and allows significant range measurements.
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