2013
DOI: 10.1155/2013/643815
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Feasibility Investigation of Obstacle-Avoiding Sensors Unit without Image Processing

Abstract: Feasibility of a simple method to detect step height, slope angle, and trench width using four infrared-light-source PSD range sensors is examined, and the reproducibility and accuracy of characteristic parameter detection are also examined. Detection error of upward slope angle is within 2.5 degrees, while it is shown that the detection error of downward slope angle exceeding 20 degrees is very large. In order to reduce such errors, a method to improve range-voltage performance of a range sensor is proposed, … Show more

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Cited by 5 publications
(6 citation statements)
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“…C. Yu and L. Zhou [13] proposed a body posture correction model for slopes that dynamically adjusts the body posture based on IMU feedback. Y Omura et al [4] proposed a method for wheeled robots to detect stairs, slopes and trenches with an arrangement of four PSD sensors. The classification sensor block presented in this paper is inspired by [4].…”
Section: Classification Of Terrainsmentioning
confidence: 99%
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“…C. Yu and L. Zhou [13] proposed a body posture correction model for slopes that dynamically adjusts the body posture based on IMU feedback. Y Omura et al [4] proposed a method for wheeled robots to detect stairs, slopes and trenches with an arrangement of four PSD sensors. The classification sensor block presented in this paper is inspired by [4].…”
Section: Classification Of Terrainsmentioning
confidence: 99%
“…Y Omura et al [4] proposed a method for wheeled robots to detect stairs, slopes and trenches with an arrangement of four PSD sensors. The classification sensor block presented in this paper is inspired by [4]. Two cost-effective ultrasonic sensors (instead of the four PSD sensors used in [4]) are placed one below the other on a platform which is at a height from the robot and angled towards the ground, as shown in Fig.…”
Section: Classification Of Terrainsmentioning
confidence: 99%
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“…The fundament of median filter is to use mid-value in a neighbourhood of a point to replace the point. This method is capable of eliminating isolated noise (Omura et al , 2013; Shukla et al , 2014; Vijaykumar et al , 2014). The mid-value of the sample X ( n − N ) · · · X ( n ) · · · X ( n + N ) is selected in the scanning area of LIDAR.…”
Section: Obstacles Detectionmentioning
confidence: 99%