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How many miles of driving will it take you to demonstrate that your
Autonomous Vehicle is Reliable?
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Autonomous vehicles need to have a comprehensive understanding of their
environment to drive safely and reliably. As automotive and truck OEMs and their suppliers
rush to deliver highly automated vehicles, it has become clear that physical testing can
never be enough to deal with all the dangerous conditions that may arise. Thus, a massive
amount of virtual simulation must be performed to support the commercialization of
autonomous vehicle technology.
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Embedded Systems Solutions (ESS)
and Hexagon VTD
are pleased to announce this informative webinar on how to leverage simulation to speed up
ADAS
development, reduce physical prototypes and increase product quality.
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Virtual Test Drive, also know as VTD, is the world's most widely used open platform for the
creation, configuration, and animation of the virtual environments for training, testing,
and validation of ADAS and Autonomous Vehicles. It provides a modular tool-set for road
network creation, scenario definition, vehicle dynamics, traffic, simulation control, image
generation, sensor perception, etc. to create a digital reality for complex driving
scenarios.
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We invite you to attend this webinar to learn about the groundbreaking
ADAS simulation capabilities of Virtual Test Drive (VTD) and how VTD helps engineers to
cover the entire design domain of autonomous vehicles.
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Brief Agenda
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Current Challenges With ADAS
Development & Testing
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How does Hexagon Virtual Test Drive Solution address these challenges?
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Hexagon VTD Leadership - Customer Testimonials
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VTD's Open Ecosystem and Easy Integration
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Test Automation with PikeTec TPT
and VTD Integration
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What is Virtual Test Drive?
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A toolkit for the creation, configuration,
presentation and
evaluation of virtual environments in the scope of road and rail based
simulations.
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Used for the development of ADAS and automated driving
systems as
well as the core for training simulators.
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Cover the full range from the generation of 3d content to the
simulation of
complex traffic scenarios and, finally, to the simulation of either simplified or
physically
driven sensors.
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It is used in SiL, DiL, ViL and HiL
applications and may
also be operated as co-simulations including 3rd party or custom packages.
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