Page 37 - TTG-Taiwan Transportation Equipment Guide (TTG)-2021-09 Edition

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Feature Topic

Self-driving v
Self-driving vehicle technology ehicle technology

trends presents new approachesends presents new approaches
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Sims for verifying, potholes, and sound de- As such, alongside investment in multisensor
tection systems applications and relevant technology, with more and
more suppliers entering the field, developing the
Global market intelligence firm IDC’s “Global software and algorithms for ADAS is only the tip of
Autonomous Vehicle Forecast Report for 2020 to the iceberg. Suppliers must have the tools or have
2024” has pointed out that L1 to L5 autonomous access to such tools to verify the systems have
vehicles could see an 18.3% CAGR within this time become a must as well.
frame. As industry trends have become clearer over
the years, not only global, well-known auto brands New Perspectives to Self-Driving Tech
like Tesla, Audi, Mercedes Benz, BMW, and Ford
have been proactively investing in autonomous Two academic research teams exhibiting under
technology, even tech giants Apple and Google the Ministry of Science and Technology pavilion
have their own respective business operations in at the Taipei AMPA show presented a range of AI
the fi eld. platforms addressing specifi c use cases and issues
that traditional AI training systems might miss out
on.
ADAS, which self-driving vehicles rely on, is also
becoming more prevalent in not only the emerging
sector but also in traditional fuel-powered cars or Many of the existing and emerging self-driving
electric vehicles, making the system an industry technology relies on cameras, sensors, and LiDAR.
standard. With automakers and technology pushing A research team at Taiwan’s National Yang Ming
development for higher autonomous levels, the Chiao Tung University (NYCU) had offered a
standards for vehicle avoidance, obstacle detection, different take on the existing methods. The team
real-time road condition detection, and more, have addressed the issue with self-driving vehicles
all equally risen as well to ensure safer driving having to detect emergency service vehicles such
conditions. as police cars, ambulances, or fi re trucks, yet lack

Taiwan's National Yang Ming Chiao Tung University (NYCU)
research team at Taipei AMPA. They, along with other teams Often, self-driving vehicle AI focused
from various universities around Taiwan, were exhibiting with the development on visual data. The NYCU
Ministry of Science and Technology pavilion to showcase the team developed AI for self-driving vehicles to
results of their research under a government-led initiative. detect sound origins, mainly used to pinpoint
emergency service vehicles. (Left photo courtesy
of CENS, right photo provided by NYCU.)