A Car2X Sensor Model for Virtual Development of Automated Driving

Publikation: Beitrag in Zeitung/MagazinArtikelForschungBegutachtung

Abstract

Automated driving requires a reliable digital representation of the environment, which is achieved by various vehicle
sensors. Wireless devices for communication between vehicles and infrastructure (Car2X communication) provide
additional data beyond the vehicle’s sensor range. In order to reduce the amount of on-road testing, there has been
an increased use of numerical simulation in the development of automated driving functions, which demands accurate
simulation models for the sensors involved.
The present research deals with the development of Car2X sensor models for conceptual, automated driving investigations
based on relatively simple yet computationally efficient mathematical models featuring parameters derived from on-road
hardware testing. For analysis purposes, variations in range and reliability in different driving situations were measured
and depicted in GoogleEarth. For the sensor model, a combination of geometric and stochastic models was chosen. The
modeling is based on a link budget calculation that considers system and path losses, where wave propagation is described
using Nakagami probability density functions. For intersections, an additional term is added to account for the path loss
with geometric parameters of the intersection. After model parametrization, an evaluation was conducted.
In addition, as a sample case, Car2X was added to an Adaptive Cruise Control (ACC), and the improved functionality was
demonstrated using vehicle dynamics simulation. This extended ACC used information from the indicator of surrounding
vehicles to react faster to lane changes by these vehicles.
Originalspracheenglisch
Seitenumfang12
Band14
Nummer5
FachbuchInternational Journal of Advanced Robotic Systems
Herausgeber (Verlag)SAGE Publications Ltd
DOIs
PublikationsstatusVeröffentlicht - 7 Sep 2017

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Sensors
Adaptive cruise control
Communication
Computer simulation
Testing
Stochastic models
Wave propagation
Probability density function
Earth (planet)
Mathematical models
Hardware

Schlagwörter

  • Car2X
  • sensor models
  • ADAS
  • automated driving
  • virtual development

ASJC Scopus subject areas

  • Fahrzeugbau

Fields of Expertise

  • Mobility & Production

Treatment code (Nähere Zuordnung)

  • Application

Dies zitieren

A Car2X Sensor Model for Virtual Development of Automated Driving. / Eichberger, Arno; Markovic, Gerald; Magosi, Zoltan Ferenc; Rogic, Branko; Lex, Cornelia; Samiee, Sajjad.

in: International Journal of Advanced Robotic Systems, Jahrgang 14, Nr. 5, 07.09.2017.

Publikation: Beitrag in Zeitung/MagazinArtikelForschungBegutachtung

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abstract = "Automated driving requires a reliable digital representation of the environment, which is achieved by various vehicle sensors. Wireless devices for communication between vehicles and infrastructure (Car2X communication) provide additional data beyond the vehicle’s sensor range. In order to reduce the amount of on-road testing, there has been an increased use of numerical simulation in the development of automated driving functions, which demands accurate simulation models for the sensors involved. The present research deals with the development of Car2X sensor models for conceptual, automated driving investigations based on relatively simple yet computationally efficient mathematical models featuring parameters derived from on-road hardware testing. For analysis purposes, variations in range and reliability in different driving situations were measured and depicted in Google Earth. For the sensor model, a combination of geometric and stochastic models was chosen. The modeling is based on a link budget calculation that considers system and path losses, where wave propagation is described using Nakagami probability density functions. For intersections, an additional term is added to account for the path loss with geometric parameters of the intersection. After model parametrization, an evaluation was conducted. In addition, as a sample case, Car2X was added to an adaptive cruise control, and the improved functionality was demonstrated using vehicle dynamics simulation. This extended adaptive cruise control used information from the indicator of surrounding vehicles to react faster to lane changes by these vehicles.",
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