High-performance 3D-imaging laser sensor

1999 ◽  
Author(s):  
Andreas Ullrich ◽  
Rainer Reichert ◽  
Nikolaus Studnicka ◽  
Johannes Riegl
Keyword(s):  
High Performance ◽  
3D Imaging ◽  
Laser Sensor

Development of scanning laser sensor for underwater 3D imaging with the coaxial optics

2014 ◽  
Author(s):  
Hideaki Ochimizu ◽  
Masaharu Imaki ◽  
Shumpei Kameyama ◽  
Takashi Saito ◽  
Shoujirou Ishibashi ◽  
...  
Keyword(s):  
3D Imaging ◽  
Scanning Laser ◽  
Laser Sensor

Mammography Tomosynthesis System for High Performance 3D Imaging

2006 ◽  
pp. 137-143 ◽  
Author(s):  
Jeffrey W. Eberhard ◽  
Douglas Albagli ◽  
Andrea Schmitz ◽  
Bernhard E. H. Claus ◽  
Paul Carson ◽  
...  
Keyword(s):  
High Performance ◽  
3D Imaging

Recent development of 3D imaging laser sensor in Mitsubishi Electric Corporation

2013 ◽  
Author(s):  
M. Imaki ◽  
N. Kotake ◽  
H. Tsuji ◽  
A. Hirai ◽  
S. Kameyama
Keyword(s):  
3D Imaging ◽  
Laser Sensor

scholarly journals Towards Quantum 3D Imaging Devices

2021 ◽  
Vol 11 (14) ◽  
pp. 6414
Author(s):  
Cristoforo Abbattista ◽  
Leonardo Amoruso ◽  
Samuel Burri ◽  
Edoardo Charbon ◽  
Francesco Di Lena ◽  
...  
Keyword(s):  
High Resolution ◽  
High Performance ◽  
3D Imaging ◽  
Single Photon ◽  
Signal To Noise Ratio ◽  
Photon Number ◽  
Quantum Fisher Information ◽  
Quantum Tomography ◽  
Low Noise ◽  
Quantum Limit

We review the advancement of the research toward the design and implementation of quantum plenoptic cameras, radically novel 3D imaging devices that exploit both momentum–position entanglement and photon–number correlations to provide the typical refocusing and ultra-fast, scanning-free, 3D imaging capability of plenoptic devices, along with dramatically enhanced performances, unattainable in standard plenoptic cameras: diffraction-limited resolution, large depth of focus, and ultra-low noise. To further increase the volumetric resolution beyond the Rayleigh diffraction limit, and achieve the quantum limit, we are also developing dedicated protocols based on quantum Fisher information. However, for the quantum advantages of the proposed devices to be effective and appealing to end-users, two main challenges need to be tackled. First, due to the large number of frames required for correlation measurements to provide an acceptable signal-to-noise ratio, quantum plenoptic imaging (QPI) would require, if implemented with commercially available high-resolution cameras, acquisition times ranging from tens of seconds to a few minutes. Second, the elaboration of this large amount of data, in order to retrieve 3D images or refocusing 2D images, requires high-performance and time-consuming computation. To address these challenges, we are developing high-resolution single-photon avalanche photodiode (SPAD) arrays and high-performance low-level programming of ultra-fast electronics, combined with compressive sensing and quantum tomography algorithms, with the aim to reduce both the acquisition and the elaboration time by two orders of magnitude. Routes toward exploitation of the QPI devices will also be discussed.

High performance distributed feedback fiber laser sensor array system

2009 ◽  
Author(s):  
Jun He ◽  
Fang Li ◽  
Tuanwei Xu ◽  
Yan Wang ◽  
Yuliang Liu
Keyword(s):  
Fiber Laser ◽  
High Performance ◽  
Sensor Array ◽  
Distributed Feedback ◽  
Laser Sensor

Localization and Context Determination for Cyber-Physical Systems Based on 3D Imaging

2018 ◽  
pp. 1-26 ◽  
Author(s):  
Hannes Plank ◽  
Josef Steinbaeck ◽  
Norbert Druml ◽  
Christian Steger ◽  
Gerald Holweg
Keyword(s):  
High Performance ◽  
3D Imaging ◽  
Rapid Development ◽  
Cyber Physical Systems ◽  
Consumer Electronics ◽  
Context Aware ◽  
Physical Systems ◽  
Depth Sensors ◽  
Location Aware ◽  
Novel Concept

In recent years, consumer electronics became increasingly location and context-aware. Novel applications, such as augmented and virtual reality have high demands in precision, latency and update rate in their tracking solutions. 3D imaging systems have seen a rapid development in the past years. By enabling a manifold of systems to become location and context-aware, 3D imaging has the potential to become a part of everyone's daily life. In this chapter, we discuss 3D imaging technologies and their applications in localization, tracking and 3D context determination. Current technologies and key concepts are depicted and open issues are investigated. The novel concept of location-aware optical communication based on Time-of-Flight depth sensors is introduced. This communication method might close the gap between high performance tracking and localization. The chapter finally provides an outlook on future concepts and work-in progress technologies, which might introduce a new set of paradigms for location-aware cyber-physical systems in the Internet of Things.

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