Abstract
Depth data from ranging sensors are generally employed in site data acquisition, navigation, and photogrammetry. Different types of sensors have their own edges and limitations depending upon the situation, hence a fusion of these sensors has the potential to overcome the limitations of single sensor devices. To model a robust device, the thorough performance characteristic of each sensor is required. Designing a robust system is challenging for companies and researchers as the available test data is very confined. In this paper, the performance of ultrasonic ranging module and Kinect sensor in the context of spatial modeling and ranging has been evaluated. The experiments are conducted to evaluate the accuracy, range and operating conditions of these sensors. A very robust performance of ultrasonic and Kinect sensor is observed within a range of 3 m and 4 m respectively. The ultrasonic sensor is suitable for rigid objects and has an accuracy of \(\pm 2.61\%\) whereas Kinect performs accurately with a wider range of objects and has an average accuracy of \(\pm 0.89\%\). This result establishes a benchmark for performance expectation in similar modeling applications and exhibits a scope for designing a hybrid multisensor spatial modeling device.
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Acknowledgements
This research was supported by the DRDO Robotics and Unmanned Systems Exposition (DRUSE). The additional tool for conducting experiments was offered by Physics laboratory at Haldia Institute of Technology.
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Adhikary, A., Vatsa, R., Burnwal, A., Samanta, J. (2020). Performance Evaluation of Low-Cost RGB-Depth Camera and Ultrasonic Sensors. In: Kundu, S., Acharya, U.S., De, C.K., Mukherjee, S. (eds) Proceedings of the 2nd International Conference on Communication, Devices and Computing. ICCDC 2019. Lecture Notes in Electrical Engineering, vol 602. Springer, Singapore. https://doi.org/10.1007/978-981-15-0829-5_33
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