@book{2022:lajewski:friction_p,
title = {Friction Potential Estimation for Autonomous Driving},
year = {2022},
note = {Autonomous vehicles need information about the environment for
trajectory planning. This information is usually stored in a
high-definition map. This map is made available to the vehicle. This
thesis deals with the friction potential, which is important for
planning. The unitless value determines the maximum forces that can be
transmitted between tyre and road. The friction potential is a
function of many influencing factors. In this work, possibilities are
evaluated to capture the most important of these influencing factors,
the road surface and the intermediate layer, via external data
sources. To determine the influence of the road surface, friction
measurement methods established in road construction are compared with
vehicle measurements. To determine the intermediate layer, data from
weather stations, rain radar and a test vehicle are evaluated.     
Contents      Abbreviations VIII      Symbols X      Abstract XVI     
Kurzfassung XVIII      1 Introduction 1      1.1 Motivation . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2      1.2
State of the Art . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . 11      1.2.1 Friction Potential Measurement Methods . . . .
. . . . . ....},
edition = {},
publisher = {VDI Verlag},
address = {Düsseldorf},
series = {Verkehrstechnik/Fahrzeugtechnik},
volume = {816},
author = {Lajewski, Thorsten}
}