Simulation of automotive radar point clouds in standardized frameworks / Thomas Eder.

Format:

Book

Author/Creator:

Eder, Thomas, author.

Language:

English

Subjects (All):

Cloud computing--Law and legislation.

Cloud computing.

Physical Description:

1 online resource (127 pages)

Edition:

1st ed.

Place of Publication:

Göttingen, Germany : Cuvillier Verlag, [2021]

Contents:

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.

Notes:

Description based on print version record.

Includes bibliographical references and index.

Other Format:

Print version: Eder, Thomas Simulation of Automotive Radar Point Clouds in Standardized Frameworks

ISBN:

3-7369-6536-2

OCLC:

1287131951