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 more.
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.