Unsettled Technology Area in Autonomous Vehicle Test and Validation EPR2019001
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Automated driving system (ADS) technology and
ADS-enabled/operated vehicles - commonly referred to as automated
vehicles and autonomous vehicles (AVs) - have the potential to
impact the world as significantly as the internal combustion
engine. Successful ADS technologies could fundamentally transform
the automotive industry, civil planning, the energy sector, and
Rapid progress is being made in artificial intelligence (AI),
which sits at the core of and forms the basis of ADS platforms.
Consequently, autonomous capabilities such as those afforded by
advanced driver assistance systems (ADAS) and other automation
solutions are increasingly becoming available in the marketplace.
To achieve highly or fully automated or autonomous capabilities, a
major leap forward in the validation of these ADS technologies is
required. Without this critical cog, helping to ensure the safety
and reliability of these systems and platforms, the full
capabilities of ADS technology will not be realized.
This paper explores the ADS validation challenge by reviewing
existing approaches and examining the effectiveness of those
approaches, presenting critical techniques required to bring safe
and effective solutions to market, discussing unsettled topics, and
suggesting next steps for industry stakeholders to consider as they
work to advance the ADS ecosystem.
NOTE: SAE EDGE™ Research Reports are intended to identify and
illuminate key issues in emerging, but still unsettled,
technologies of interest to the mobility industry. The goal of SAE
EDGE™ Research Reports is to stimulate discussion and work in the
hope of promoting and speeding resolution of identified issues. SAE
EDGE™ Research Reports are not intended to resolve the issues they
identify or close any topic to further scrutiny.