25.12.2022 Aufrufe

1-2023

Fachzeitschrift für Hochfrequenz- und Mikrowellentechnik

Fachzeitschrift für Hochfrequenz- und Mikrowellentechnik

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Anritsu, dSPACE and Apposite Technologies Collaborate to Realize<br />

an AVP Test Environment for Autonomous Driving Use Cases<br />

Anritsu Corporation (President:<br />

Hirokazu Hamada) has developed<br />

a test and simulation environment<br />

for Automated Valet<br />

Parking (AVP) in collaboration<br />

with dSPACE GmbH (dSPACE)<br />

and Apposite Technologies LLC<br />

(Apposite). A demonstration<br />

exhibition was held as part of<br />

the 5GAA Member Symposium<br />

event in Malaga, Spain on October<br />

20th.<br />

Valet parking is a service in<br />

which a professional parking<br />

attendant parks drivers’ cars<br />

at large-scale parking facilities<br />

and commercial facilities,<br />

mainly in Europe and the United<br />

States. AVP enables this parking<br />

to be done automatically, without<br />

any driver in the vehicle.<br />

AVP Technical Report Version<br />

1.0 was released by 5GAA in<br />

June 2022, and a wireless communication<br />

(Type-2) operation<br />

scheme linked with parking<br />

garage infrastructure and users’<br />

smartphones was proposed. AVP<br />

is being developed as an autonomous<br />

driving use case which<br />

can be deployed in the short<br />

term. AVP Type-1 autonomous<br />

driving vehicles require expensive<br />

high-performance computing<br />

and sensing, while AVP<br />

Type-2 communication-cooperative<br />

vehicles do not require such<br />

installations, reducing vehicle<br />

costs and making implementation<br />

easier.<br />

Since AVP Type-2 requires<br />

highly reliable end-to-end communications,<br />

a test system needs<br />

to evaluate QoS management<br />

and impairment effects in the<br />

IP layer. The wireless connectivity<br />

environment also needs to<br />

be evaluated. The test solution<br />

set up a digital twin environment<br />

incorporating both virtual<br />

and real devices. This allows the<br />

system tests and certification<br />

required to improve the reliability<br />

of AVP Type-2 to be started<br />

before the actual devices are<br />

available. Automotive OEMs,<br />

Tier 1 suppliers, and mobile network<br />

operators have shown great<br />

interest in the demonstration, and<br />

we will continue to develop this<br />

simulation environment and contribute<br />

to the realization of AVP.<br />

dSPACE‘s software-based tool<br />

integrates and simulates environment/infrastructure/sensor/vehicle<br />

information only on a PC. In<br />

this demonstration, AVP System<br />

is installed in it. Vehicle motion<br />

control commands (VMC) generated<br />

by the AVP System are<br />

transmitted to the OEM Application,<br />

which displays the state<br />

of vehicle control, via 5G communication<br />

using Anritsu‘s 5G<br />

base station simulator. VMC<br />

commands pass through the<br />

Apposite Network emulator on<br />

the way to OEM Application. IP<br />

data delay and data packet loss<br />

are added by the emulator, and so<br />

vehicle control becomes unstable<br />

due to its influence in the<br />

OEM Application. AVP developers<br />

design control systems and<br />

networks to keep vehicle control<br />

stable. A virtual vehicle that has<br />

received VMC (Vehicle Motion<br />

Control) commands across the<br />

5G network is automatically driving<br />

in a parking lot according<br />

to control instructions sent by<br />

the parking garage.<br />

The base station simulator<br />

Radio communication test station<br />

MT8000A is a test platform<br />

that provides network simulation<br />

for 5G radio access technology<br />

(RAT*6) and provides a development<br />

evaluation and certification<br />

test environment for automotive<br />

use cases such as Telematics,<br />

Infotainment, and V2X.<br />

Anritsu Corporation<br />

www.anritsu.com<br />

hf-praxis 1/<strong>2023</strong> 35

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