Autonomous vehicles and intelligent automation: Applications, challenges, and opportunities
Intelligent Automation (IA) in automobiles combines robotic process automation and artificial
intelligence, allowing digital transformation in autonomous vehicles. IA can completely …
intelligence, allowing digital transformation in autonomous vehicles. IA can completely …
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 …
Calibrating pedestrians' trust in automated vehicles: Does an intent display in an external HMI support trust calibration and safe crossing behavior?
Policymakers recommend that automated vehicles (AVs) display their automated driving
status using an external human-machine interface (eHMI). However, previous studies …
status using an external human-machine interface (eHMI). However, previous studies …
A survey on automated driving system testing: Landscapes and trends
Automated Driving Systems (ADS) have made great achievements in recent years thanks to
the efforts from both academia and industry. A typical ADS is composed of multiple modules …
the efforts from both academia and industry. A typical ADS is composed of multiple modules …
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 …
Analysis of factors affecting the severity of automated vehicle crashes using XGBoost model combining POI data
H Chen, H Chen, Z Liu, X Sun… - Journal of advanced …, 2020 - Wiley Online Library
The research and development of autonomous vehicle (AV) technology have been gaining
ground globally. However, a few studies have performed an in‐depth exploration of the …
ground globally. However, a few studies have performed an in‐depth exploration of the …
[HTML][HTML] Passenger opinions of the perceived safety and interaction with automated shuttles: A test ride study with 'hidden'safety steward
A necessary condition for the effective integration of automated vehicles in our daily lives is
their acceptance by passengers inside and pedestrians and cyclists outside the automated …
their acceptance by passengers inside and pedestrians and cyclists outside the automated …
Cybersecurity of autonomous vehicles: A systematic literature review of adversarial attacks and defense models
Autonomous driving (AD) has developed tremendously in parallel with the ongoing
development and improvement of deep learning (DL) technology. However, the uptake of …
development and improvement of deep learning (DL) technology. However, the uptake of …
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 …
[HTML][HTML] Crash severity analysis of highways based on multinomial logistic regression model, decision tree techniques, and artificial neural network: a modeling …
G Shiran, R Imaninasab, R Khayamim - Sustainability, 2021 - mdpi.com
The classification of vehicular crashes based on their severity is crucial since not all of them
have the same financial and injury values. In addition, avoiding crashes by identifying their …
have the same financial and injury values. In addition, avoiding crashes by identifying their …