&lt;title&gt;Simulation of imaging radar for obstacle avoidance and enhanced vision&lt;/title&gt;

Doehler, Hans-Ullrich; Bollmeyer, Dirk

doi:10.1117/12.277246

Cited by 12 publications

(7 citation statements)

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“…9 The generated data can also be used as an input for new EVS algorithms in order to test and evaluate these under almost realistic circumstances. Some research has been carried out in this area, for example, Doehler and Bollmeyer, 2 Allerton and Clare, 10 Bonjean et al 11 Our method is heavily based on pioneering work by Doehler and Bollmeyer. Recently there have been parallel developments in the field of SAR imaging.…”

Section: Related Workmentioning

confidence: 99%

“…Of course the attenuation factor is different for different weather conditions, for example, clean air, dust, fog or rain. Then the radar intensity can be computed using the Lambert-Beer Law as v a = exp(−0.23αR)v (2) where α denotes the attenuation coefficient and R is the range of the element. As suggested by Klein 23 we implemented α for fog conditions as α = 0.438M W λ 2…”

Section: Attenuationmentioning

confidence: 99%

“…2 The principal approach is to use as much geometry information as possible from an existing visual flight simulator based on OpenGL. Then Doehler and Bollmeyer render the scene from the point of view of the radar device.…”

Section: Introductionmentioning

confidence: 99%

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Simulation of imaging radar using graphics hardware acceleration

2008

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Extending previous works by Doehler and Bollmeyer we describe a new implementation of an imaging radar simulator. Our approach is based on using modern computer graphics hardware making heavy use of recent technologies like vertex and fragment shaders. Furthermore, to allow for a nearly realistic image we generate radar shadows implementing shadow map techniques in the programmable graphics hardware. The particular implementation is tailored to imitate millimeter wave (MMW) radar but could be extended for other types of radar systems easily.

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Section: Related Workmentioning

confidence: 99%

Section: Attenuationmentioning

confidence: 99%

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Simulation of imaging radar using graphics hardware acceleration

2008

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“…Vanguard [13] and Lookheed-Martin [14] propose a MMWR simulation system dealing with 2D scenes. The German Aerospace Research Establishment (DLR) describes a MMWR simulator, the operation of which appears to have been illustrated for 2D scenes, although it seems to be capable of dealing with 3D scenes as well [15] . Mametsa presents a simulator using ray-tracing techniques [16] , which is very accurate but does not operate in real-time.…”

Section: Millimeter-wave Radar (Mmwr) Modelingmentioning

confidence: 99%

Flight simulator with IR and MMW radar image generation capabilities

Bonjean

Lapierre

Schiefele³

et al. 2006

SPIE Proceedings

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In the future, modern airliners will use enhanced-synthesic vision systems (ESVS) to improve aeronautical operations in bad weather conditions. Before ESVS are effectively found aboard airliners, one must develop a multisensor flight simulator capable of synthetizing, in real time, images corresponding to a variety of imaging modalities. We present a real-time simulator called ARIS (Airborne Radar and Infrared Simulator) which is capable of generating two such imaging modalities: a forward-looking infrared (FLIR) and a millimeter-wave radar (MMWR) imaging system. The proposed simulator is modular sothat additional imaging modalities can be added. Example of images generated by the simulator are shown.

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“…Non real time approaches include the work by De Roo et al 15 With the availability of faster computers more real time approaches are investigated. [16][17][18][19][20][21] Solutions exist for different kinds of radar sensors, including forward looking radar 16,17,21 as well as Synthetic Aperture Radar (SAR). 19 …”

Section: Related Workmentioning

confidence: 99%

An evaluation test bed for enhanced vision

Doehler

Peinecke

2010

SPIE Proceedings

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DLR's Institute of Flight Guidance is involved in many projects dealing with the development of new concepts for flight procedures and pilot assistance functions. This includes especially the topic of enhanced vision (EVS), where processed data from radar and infrared sensors is utilized to augment the pilot's vision. For evaluating these concepts extensive flight testing has been conducted and results have been published during the last years. Now, DLR has combined its expertise in the field of high performance sensor simulation on the one hand side, together with the visual simulation for its generic cockpit simulator, on the other hand. Sensor simulation of imaging radar, lidar, infrared, etc., is based mainly on the application of high performance functions of modern computer graphics hardware (vertex and fragment shaders). The direct combination of these functions with the "outside-vision" software, which is now based on exactly the same terrain and object geometry, delivers sensor data that perfectly correlate to the visual channel. This combined simulation environment will be the basis for various evaluation trials within the near future, including simulation trails for fixed-wing and rotary-wing applications.The paper presents the implemented software and hardware architecture of the cockpit's visual simulator and its coupling to the sensor simulation test-suite. First results of recently conducted simulation experiments including the evaluation of new proposed flight procedures, which apply EVS technology, are given.

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<title>Simulation of imaging radar for obstacle avoidance and enhanced vision</title>

Cited by 12 publications

References 0 publications

Simulation of imaging radar using graphics hardware acceleration

Simulation of imaging radar using graphics hardware acceleration

Flight simulator with IR and MMW radar image generation capabilities

An evaluation test bed for enhanced vision

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