Radar Based Road User Detection in Intelligent Vehicles

Doctoral thesis (2022)

Authors

A. Palffy Intelligent Vehicles - Mechanical, Maritime and Materials Engineering
Research Group
Intelligent Vehicles (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2022 A. Palffy
DOI: https://doi.org/10.4233/uuid:4778841d-a71a-444e-94ac-fa1fca1c732b
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Published Date

2022

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Cognitive Robotics

Research Group

Intelligent Vehicles

Abstract

This thesis addresses the problem of object detection with automotive radar sensors in the field of intelligent vehicles with special attention to vulnerable road users: pedestrians, cyclists, and motorcyclists. It is not the goal of this work to improve the hardware design or signal processing algorithms of the radar sensors themselves, but to take the output of these sensors as “given”, and to propose various ways to use them for road user detection. To facilitate the reading, a brief introduction to the operating principles of radar sensors and their advantages and limitations is first given. Subsequently, the thesis discusses automotive radar based detection of road users based on three different types of radar data....

Files

Dissertation_palffy.pdf
(pdf | 55.6 Mb)
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Propositions_palffy.pdf
(pdf | 0.237 Mb)
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