2016
DOI: 10.1109/jsen.2016.2601822
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Quantifying and Improving Laser Range Data When Scanning Industrial Materials

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Cited by 11 publications
(14 citation statements)
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“…A Leica laser measurement system [27] was used to test the accuracy of the accelerometer readings. The Leica system is a methodology based laser scanner which can measure the position of a retro reflector in free space to accuracies of ±0.2μm [28]. The accuracy of the accelerometer readings was tested by using the Leica system to determine the angle of a wedge.…”
Section: Data Collectionmentioning
confidence: 99%
“…A Leica laser measurement system [27] was used to test the accuracy of the accelerometer readings. The Leica system is a methodology based laser scanner which can measure the position of a retro reflector in free space to accuracies of ±0.2μm [28]. The accuracy of the accelerometer readings was tested by using the Leica system to determine the angle of a wedge.…”
Section: Data Collectionmentioning
confidence: 99%
“…A study on the effects of the position of the source with respect to the stop band was conducted by utilizing an industrial six Degree of Freedom (D.O.F.) robot [30]. This approach allowed for controlled and repeatable scanning not only of traditional 3 DOF (x, y, z) positions but also in roll, pitch and yaw orientations (Fig.…”
Section: Mapping the Stop Bandmentioning
confidence: 99%
“…Specific types of Lidars have specific statistical models, and leveraging on these differences different authors proposed different calibration algorithms. E.g., the characterization of the intrinsic parameters of Time of Flight (ToF) Lidars has been analyzed in [4], [5], [6], [7], [8], [9], [10], [11], [12]. More specifically, a characterization study of the Sick LMS200 Lidar with measurement drift over time, and targeted the influence of the surface properties as well as the incidence angle on the measurement process presented in [4], the paper also proposed a probabilistic range measurement model constructed starting from the experimental results.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Authors here concluded that the accuracy of the sensor is strongly depending on the target properties and that it is consequently difficult to establish a calibration model. However, recently a computationally inexpensive algorithm for range correction in industrial scenarios that is based on the material surface was proposed and developed in [6]. A comparison between the Sick LMS200 and the Hokuyo URG-04LX for measurement drift over time, the effect of material and color on measurement accuracy was discussed in [7].…”
Section: Literature Reviewmentioning
confidence: 99%