A review of shared control for automated vehicles: Theory and applications
The last decade has shown an increasing interest on advanced driver assistance systems
(ADAS) based on shared control, where automation is continuously supporting the driver at …
(ADAS) based on shared control, where automation is continuously supporting the driver at …
Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research
Vehicle automation safety must be evaluated not only for market success but also for more
informed decision-making about Automated Vehicles'(AVs) deployment and supporting …
informed decision-making about Automated Vehicles'(AVs) deployment and supporting …
Machine learning testing: Survey, landscapes and horizons
This paper provides a comprehensive survey of techniques for testing machine learning
systems; Machine Learning Testing (ML testing) research. It covers 144 papers on testing …
systems; Machine Learning Testing (ML testing) research. It covers 144 papers on testing …
[HTML][HTML] Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives
Automated vehicles (AVs) are widely considered to play a crucial role in future transportation
systems because of their speculated capabilities in improving road safety, saving energy …
systems because of their speculated capabilities in improving road safety, saving energy …
Willingness to pay for self-driving vehicles: Influences of demographic and psychological factors
Research on willingness to pay (WTP) can provide practical insights for assessing the value
of self-driving vehicle (SDV) technology in the vehicle market. Are people willing to pay extra …
of self-driving vehicle (SDV) technology in the vehicle market. Are people willing to pay extra …
What can we learn from autonomous vehicle collision data on crash severity? A cost-sensitive CART approach
Autonomous vehicles (AVs) are emerging in the automobile industry with potential benefits
to reduce traffic congestion, improve mobility and accessibility, as well as safety. According …
to reduce traffic congestion, improve mobility and accessibility, as well as safety. According …
Ml-based fault injection for autonomous vehicles: A case for bayesian fault injection
The safety and resilience of fully autonomous vehicles (AVs) are of significant concern, as
exemplified by several headline-making accidents. While AV development today involves …
exemplified by several headline-making accidents. While AV development today involves …
Automated vehicle crash sequences: Patterns and potential uses in safety testing
With safety being one of the primary motivations for developing automated vehicles (AVs),
extensive field and simulation tests are being carried out to ensure AVs can operate safely …
extensive field and simulation tests are being carried out to ensure AVs can operate safely …
BinFI an efficient fault injector for safety-critical machine learning systems
As machine learning (ML) becomes pervasive in high performance computing, ML has
found its way into safety-critical domains (eg, autonomous vehicles). Thus the reliability of …
found its way into safety-critical domains (eg, autonomous vehicles). Thus the reliability of …
Evaluating the safety of autonomous vehicle–pedestrian interactions: An extreme value theory approach
With the increasing advancements in autonomous vehicle (AV) technologies, the forecasts
of AV market shares seem to follow an ever-growing trend. This leads to the inherent need …
of AV market shares seem to follow an ever-growing trend. This leads to the inherent need …