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23. The High-Performance Imaging Verification of Si:P Blocked Impurity Band Detector for Very-Long-Wave-Infrared Spectral Range.

Author

Chen, Yulu, Wang, Xiaodong, Wang, Bingbing, Zang, Yuanzhang, Zhang, Chuansheng, Zhang, Haoxing, Yuan, Yi, Zhou, Deliang, Hou, Liwei, and Pan, Ming

Subjects
*DETECTORS, *INFRARED detectors, *IMAGING systems, *EXPLOSIVES detection, *LOW temperatures, *ULTRAVIOLET detectors, *INFRARED imaging
Abstract

Very-long-wave-infrared (VLWIR) photodetectors have attracted great attention from scientists worldwide in the ground and space-based detections, imaging and early warning. However, the application of VLWIR photodetectors on earth is limited by the difficulty of establishing a high spatial-resolution fine imaging system with high-performance detector and large size optical lens. In this work, the VLWIR Si-based blocked-impurity-band (BIB) detector is fabricated and its high-performance imaging system is constructed. The CVD growth progress is optimized by enhancing the doping concentration of absorption layer, and shortening the transition length between blocking and absorption layers. At the temperature of 4.2K, the blackbody responsivity of Si-based BIB detector reaches 20.78A/W and the Noise Equivalent Power is $8.7\times 10^{-16}\text{W}$ /Hz1/2 at 2.6V. Based on the high performance Si-based BIB detector, an imaging verifying system is set up to detect different room-temperature objects. Its spatial and temperature resolution reaches $250~\mu \text{m}$ and 10mK, respectively. Our results indicate that with suitable optical imaging system, the BIB detector is more effective than the infrared detector of commercial thermal infrared imager in detecting room temperature or low temperature objects like metal. Our work is helpful for the further research on the large scale array integrated BIB imaging and detection system used on earth for explosives detection, biological nondestructive detection as well as security check. [ABSTRACT FROM AUTHOR]

Published
2020
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32. Inexpensive Multimodal Sensor Fusion System for Autonomous Data Acquisition of Road Surface Conditions.

Author

Chen, Yulu Luke, Jahanshahi, Mohammad R., Manjunatha, Preetham, Gan, WeiPhang, Abdelbarr, Mohamed, Masri, Sami F., Becerik-Gerber, Burcin, and Caffrey, John P.

Abstract

This paper presents the development, evaluation, calibration, and field application of a novel, relatively inexpensive, vision-based sensor system employing commercially available off-the-shelf devices, for enabling the autonomous data acquisition of road surface conditions. Detailed evaluations and enhancements of a variety of technical approaches and algorithms for overcoming vision-based measurement distortions induced by the motion of the monitoring platform were conducted. It is shown that the proposed multi-sensor system, by capitalizing on powerful data-fusion approaches of the type developed in this paper, can provide a robust cost-effective road surface monitoring system with sufficient accuracy to satisfy typical maintenance needs, in regard to the detection, localization, and quantification of potholes and similar qualitative deterioration features where the measurements are acquired via a vehicle moving at normal speeds on typical city streets. The proposed system is ideal to be used for crowdsourcing where several vehicles would be equipped with this cost-effective system for more frequent data collection of road surfaces. Suggestions for future research needs to enhance the capabilities of the proposed system are included. [ABSTRACT FROM PUBLISHER]

Published
2016
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