Human–vehicle cooperation in automated driving: A multidisciplinary review and appraisal
To draw a comprehensive and cohesive understanding of human–vehicle cooperation in
automated driving, a review is made on key studies in human–robot interaction and human …
automated driving, a review is made on key studies in human–robot interaction and human …
A review of state-of-the-art bicycle technologies affecting cycling safety: Level of smartness and technology readiness
New technologies are gaining ground in various disciplines, and road safety is not an
exception. The objective of this paper is twofold:(1) to review the state-of-the-art …
exception. The objective of this paper is twofold:(1) to review the state-of-the-art …
Attacks on self-driving cars and their countermeasures: A survey
Intelligent Traffic Systems (ITS) are currently evolving in the form of a cooperative ITS or
connected vehicles. Both forms use the data communications between Vehicle-to-Vehicle …
connected vehicles. Both forms use the data communications between Vehicle-to-Vehicle …
An analysis of ISO 26262: Using machine learning safely in automotive software
Machine learning (ML) plays an ever-increasing role in advanced automotive functionality
for driver assistance and autonomous operation; however, its adequacy from the perspective …
for driver assistance and autonomous operation; however, its adequacy from the perspective …
Perception, information processing and modeling: Critical stages for autonomous driving applications
D Gruyer, V Magnier, K Hamdi, L Claussmann… - Annual Reviews in …, 2017 - Elsevier
Over the last decades, the development of Advanced Driver Assistance Systems (ADAS) has
become a critical endeavor to attain different objectives: safety enhancement, mobility …
become a critical endeavor to attain different objectives: safety enhancement, mobility …
“I'd like an Explanation for That!” Exploring Reactions to Unexpected Autonomous Driving
Autonomous vehicles are complex systems that may behave in unexpected ways. From the
drivers' perspective, this can cause stress and lower trust and acceptance of autonomous …
drivers' perspective, this can cause stress and lower trust and acceptance of autonomous …
Using machine learning safely in automotive software: An assessment and adaption of software process requirements in ISO 26262
R Salay, K Czarnecki - arXiv preprint arXiv:1808.01614, 2018 - arxiv.org
The use of machine learning (ML) is on the rise in many sectors of software development,
and automotive software development is no different. In particular, Advanced Driver …
and automotive software development is no different. In particular, Advanced Driver …
On the way to autonomous driving: How age influences the acceptance of driver assistance systems
T Günthner, H Proff - Transportation research part F: traffic psychology and …, 2021 - Elsevier
Driver assistance systems have the potential to create the basis for future mobility solutions.
They enable older generations in need of assistance to maintain their mobility even in the …
They enable older generations in need of assistance to maintain their mobility even in the …
What's in a name? Drivers' perceptions of the use of five SAE Level 2 driving automation systems
ER Teoh - Journal of safety research, 2020 - Elsevier
Introduction: Automobile manufacturers are developing increasingly sophisticated driving
automation systems. Currently, the highest level of automation available on the market is …
automation systems. Currently, the highest level of automation available on the market is …
[PDF][PDF] Understanding the impact of technology: Do advanced driver assistance and semi-automated vehicle systems lead to improper driving behavior
The ultimate goal of advanced driver assistance systems (ADAS) is to increase road safety
and driving comfort. These systems help with monitoring, braking, and steering tasks and …
and driving comfort. These systems help with monitoring, braking, and steering tasks and …