A review on AI Safety in highly automated driving [PDF]
Frontiers in Artificial Intelligence, 2022 Remarkable progress in the fields of machine learning (ML) and artificial intelligence (AI) has led to an increased number of applications of (data-driven) AI systems for the partial or complete control of safety-critical systems.
Moritz Wäschle +4 more
doaj +6 more sources
Dynamic scan paths investigations under manual and highly automated driving [PDF]
Scientific Reports, 2021 Active visual scanning of the scene is a key task-element in all forms of human locomotion. In the field of driving, steering (lateral control) and speed adjustments (longitudinal control) models are largely based on drivers’ visual inputs.
Jordan Navarro +5 more
doaj +2 more sources
Driving risk cognition of passengers in highly automated driving based on the prefrontal cortex activity via fNIRS [PDF]
Scientific Reports, 2023 For high-level automated vehicles, the human being acts as the passenger instead of the driver and does not need to operate vehicles, it makes the brain–computer interface system of high-level automated vehicles depend on the brain state of passengers ...
Hong Wang +8 more
doaj +2 more sources
An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios [PDF]
Scientific DataFor highly autonomous vehicles, human does not need to operate continuously vehicles. The brain-computer interface system in autonomous vehicles will highly depend on the brain states of passengers rather than those of human drivers.
Xiaofei Zhang +9 more
doaj +2 more sources
Scared to Trust? – Predicting Trust in Highly Automated Driving by Depressiveness, Negative Self-Evaluations and State Anxiety [PDF]
Frontiers in Psychology, 2020 The advantages of automated driving can only come fully into play if these systems are used in an appropriate way, which means that they are neither used in situations they are not designed for (misuse) nor used in a too restricted manner (disuse). Trust
Johannes Kraus +4 more
doaj +2 more sources
Highly automated driving: the role of visuo-attentional and executive abilities in take-over success [PDF]
Frontiers in PsychologyPrevious studies have sought to better understand exogenous factors explaining drivers’ ability to regain control or not from highly automated driving. However, few studies have examined the role of individual factors in drivers’ take-over behavior and ...
Damien Schnebelen +5 more
doaj +2 more sources
World Electric Vehicle Journal, 2021 Conclusive evidence has demonstrated the critical importance of highly automated driving systems and regenerative braking systems in improving driving safety and economy.
Liang Chu +3 more
doaj +1 more source
Auditory interfaces in automated driving: an international survey [PDF]
PeerJ Computer Science, 2015 This study investigated peoples’ opinion on auditory interfaces in contemporary cars and their willingness to be exposed to auditory feedback in automated driving. We used an Internet-based survey to collect 1,205 responses from 91 countries.
Pavlo Bazilinskyy, Joost de Winter
doaj +2 more sources
Survey on Scenario-Based Safety Assessment of Automated Vehicles
IEEE Access, 2020 When will automated vehicles come onto the market? This question has puzzled the automotive industry and society for years. The technology and its implementation have made rapid progress over the last decade, but the challenge of how to prove the safety ...
Stefan Riedmaier +4 more
doaj +1 more source
The Impact of Situational Complexity and Familiarity on Takeover Quality in Uncritical Highly Automated Driving Scenarios [PDF]
, 2020 In the development of highly automated driving systems (L3 and 4), much research has been done on the subject of driver takeover. Strong focus has been placed on the takeover quality.
Russwinkel, Nele +2 more
core +1 more source