TY  - BOOK
AU  - Eder,Thomas
TI  - Simulation of Automotive Radar Point Clouds in Standardized Frameworks
SN  - 3736965362
AV  - TL158 .S568 2021
KW  - Cloud computing
KW  - Law and legislation
KW  - Electronic Books
N1  - Description based upon print version of record; 2; Intro --; Chapter 1 Autonomous driving andsimulational challenges --; 1.1 Safety validation and simulative test drives --; 1.2 Principles of automotive radar sensors --; 1.3 Modeling and standardized simulationframeworks --; Chapter 2 State of research in automotiveradar modeling --; 2.1 Differentiation of various modeling levels --; 2.2 Ray-tracing in environments of high-fidelity --; 2.3 Models executable in standardized environments --; 2.4 Validation and verification of sensor models --; Chapter 3 Derivation of research questions,hypotheses and objectives; 3.2 Stochastic radar models based on deepgenerative networks --; 3.3 Hybrid multipurpose approaches for radar sensormodels --; 3.4 Deficiencies of current validation criteria --; Chapter 4 Modeling challenges related to raycone tracing --; 4.1 The caustic distance and the angular beamexpansion --; 4.2 Estimating current errors in case of multiplereflections --; 4.3 Consequences and lower bounds for the numberof rays --; Chapter 5 Approaches to statistical radar pointcloud simulation --; 5.1 Statistical formulation of radar sensor modeling --; 5.2 Kernel density estimation and radar point clouds; 5.3 Deep generative networks as sensor models --; 5.4 Comparison of learning capacities and itsconsequences --; Chapter 6 A hybrid modeling approach forradar point clouds --; 6.1 Tracing and catching rays as the baseline --; 6.2 Improvements to the ray casting approach --; 6.3 Capabilities for data-based optimization --; 6.4 Bottom line on the hybrid modeling approach --; Chapter 7 Validation based on statisticalhypothesis testing --; 7.1 Consistency of validation criterion --; 7.2 On the Kolmogorov-Smirnov test --; 7.3 Applications to radar sensor models; 7.4 Retrospective and future validation challenges --; Chapter 8 Conclusion and prospectivechallenges --; 8.1 Recap of the radar point cloud simulation --; 8.2 Lessons learned and future recommendations --; Nomenclatur --; References --; Index; 2; b
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