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oapen-20.500.12657-758882024-03-28T09:33:59Z High-Precision Automotive Radar Target Simulation Diewald, Axel automotive radar; Radar target simulation; Automobilradar; Radarzielsimulation; autonomous driving; validation; Validierung; Autonomes Fahren Radar target simulators (RTSs) deceive a radar under test (RuT) by creating an artificial environment consisting of virtual radar targets. In this work, new techniques are presented that overcome the rasterization deficiency of current RTS systems and enable the generation of virtual targets at arbitrary high-precision positions. This allows for continuous movement of the targets and thus a more credible simulation environment. 2023-08-29T07:43:18Z 2023-08-29T07:43:18Z 2023 book https://library.oapen.org/handle/20.500.12657/75888 eng Karlsruher Forschungsberichte aus dem Institut für Hochfrequenztechnik und Elektronik application/pdf Attribution 4.0 International high-precision-automotive-radar-target-simulation.pdf https://doi.org/10.5445/KSP/1000158038 KIT Scientific Publishing 10.5445/KSP/1000158038 10.5445/KSP/1000158038 44e29711-8d53-496b-85cc-3d10c9469be9 48 192 open access
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OAPEN
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DSpace
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English
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description |
Radar target simulators (RTSs) deceive a radar under test (RuT) by creating an artificial environment consisting of virtual radar targets. In this work, new techniques are presented that overcome the rasterization deficiency of current RTS systems and enable the generation of virtual targets at arbitrary high-precision positions. This allows for continuous movement of the targets and thus a more credible simulation environment.
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high-precision-automotive-radar-target-simulation.pdf
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high-precision-automotive-radar-target-simulation.pdf
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title_short |
high-precision-automotive-radar-target-simulation.pdf
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title_full |
high-precision-automotive-radar-target-simulation.pdf
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title_fullStr |
high-precision-automotive-radar-target-simulation.pdf
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high-precision-automotive-radar-target-simulation.pdf
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high-precision-automotive-radar-target-simulation.pdf
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KIT Scientific Publishing
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2023
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url |
https://doi.org/10.5445/KSP/1000158038
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1799945265992433664
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