ORCID Profile
0000-0001-7121-2746
Current Organisation
University of Sydney
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Publisher: SPIE
Date: 02-05-2019
DOI: 10.1117/12.2520110
Publisher: SPIE
Date: 09-10-2018
DOI: 10.1117/12.2500525
Publisher: Springer Singapore
Date: 2019
Publisher: IEEE
Date: 11-2017
Publisher: MDPI AG
Date: 08-11-2018
DOI: 10.3390/S18113825
Abstract: A common countermeasure to detect threatening drones is the electro-optical infrared (EO/IR) system. However, its performance is drastically reduced in conditions of complex background, saturation and light reflection. 3D laser sensor LiDAR is used to overcome the problems of 2D sensors like EO/IR, but it is not enough to detect small drones at a very long distance because of low laser energy and resolution. To solve this problem, A 3D LADAR sensor is under development. In this work, we study the detection methodology adequate to the LADAR sensor which can detect small drones at up to 2 km. First, a data augmentation method is proposed to generate a virtual target considering the laser beam and scanning characteristics, and to augment it with the actual LADAR sensor data for various kinds of tests before full hardware system developed. Second, a detection algorithm is proposed to detect drones using voxel-based background subtraction and variable radially bounded nearest neighbor (V-RBNN) method. The results show that 0.2 m L2 distance and 60% expected average overlap (EAO) indexes are satisfied for the required specification to detect 0.3 m size of small drones.
Publisher: AIP Publishing
Date: 27-09-2021
DOI: 10.1063/5.0056326
Abstract: Stereo photogrammetry is a fundamental technique for 3D measurements in different applications. As passive stereo methods struggle in texture-less regions, different light-coded patterns are projected to solve the correspondence problem. When the reconstruction method requires a series of sequentially coded light patterns, the system is prone to movement-related errors. A single pattern is utilized where the potential subjects are dynamic or change the position rapidly. A random speckle pattern is a good candidate for such systems. Primarily, there are two approaches to generate the speckle pattern in stereoscopic systems. The speckles can be generated by the coherent illumination of a laser diode, and the laser speckle-like pattern can also be simulated and projected by a professional projector. The purpose of both is to solve the stereo correspondence problem however, the performance of both can differ, subjective to employed 3D sensing algorithm. In this Letter, we compare the performance of both for single-shot 3D reconstruction. We have discussed the pros and cons of both methods and analyze their ability to resolve long range 3D reconstruction.
Publisher: MDPI AG
Date: 09-04-2018
DOI: 10.3390/S18041146
Publisher: Elsevier BV
Date: 2021
Publisher: IEEE
Date: 14-09-0014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-05-2022
Publisher: IEEE
Date: 26-10-2021
Publisher: Elsevier BV
Date: 06-2018
No related grants have been discovered for Danish Khan.