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M. Muzal

Researcher at Military University of Technology in Warsaw

Publications -  19
Citations -  202

M. Muzal is an academic researcher from Military University of Technology in Warsaw. The author has contributed to research in topics: Laser & Lidar. The author has an hindex of 5, co-authored 18 publications receiving 123 citations.

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Journal ArticleDOI

Comparison of 905 nm and 1550 nm semiconductor laser rangefinders’ performance deterioration due to adverse environmental conditions

TL;DR: In this article, the authors discussed the scope of maximum range degradation of hypothetical 0.9 μm and 1.5 μm rangefinders due to selected water-related environmental effects.
Journal ArticleDOI

Practical application of pulsed “eye-safe” microchip laser to laser rangefinders

TL;DR: In this article, the authors describe practical application of pulsed microchip laser generating at 1535-nm wavelength to a laser rangefinder and the measured performance of the device is discussed.
Journal ArticleDOI

Performance verification of a LIF-LIDAR technique for stand-off detection and classification of biological agents

TL;DR: In this article, a range-resolved multichannel LIF-LIDAR system is presented based on two pulsed UV laser sources operating at 355 nm and 266 nm wavelength (3rd and 4th harmonic of Nd:YAG, Q-switched solid state laser, respectively).
Proceedings ArticleDOI

Fluorescence/depolarization lidar for mid-range stand-off detection of biological agents

TL;DR: In this article, a real-time standoff detection of bio-agents is presented and preliminary experimental results are discussed, which is based on two independent physical phenomena: (1) laser induced fluorescence (LIF), and depolarization resulting from elastic scattering on non-spherical particles.
Journal ArticleDOI

Distinguishing Drones from Birds in a UAV Searching Laser Scanner Based on Echo Depolarization Measurement

TL;DR: In this paper, an approach for small (<5 kg) drones detection technique based on a laser scanning and a method to discriminate UAVs from birds is presented. But the proposed method does not always guarantee 100 percent discrimination efficiency, but provides certain confidence level distribution.