The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems [PDF]
International Conference on Intelligent Transportation Systems, 2018 Scenario-based testing for the safety validation of highly automated vehicles is a promising approach that is being examined in research and industry.
R. Krajewski +3 more
semanticscholar +1 more source
IEEE Open Journal of Intelligent Transportation Systems, 2023 Driving requires continuous decision making from a driver taking into account all available relevant information. Automating driving tasks also automates the related decisions.
Elvira Thonhofer +7 more
semanticscholar +1 more source
Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art [PDF]
Archives of Computational Methods in Engineering, 2021 The large-scale deployment of automated vehicles on public roads has the potential to vastly change the transportation modalities of today’s society.
Lukas Westhofen +8 more
semanticscholar +1 more source
Applied Sciences, 2023 As automated driving technology continues to advance, the question of how users prefer to be driven in their new, more passive role is becoming increasingly relevant.
Laurin Vasile +5 more
doaj +1 more source
A Comprehensive Eco-Driving Strategy for CAVs with Microscopic Traffic Simulation Testing Evaluation
Sensors, 2023 In this paper, a comprehensive deterministic Eco-Driving strategy for Connected and Autonomous Vehicles (CAVs) is presented. In this setup, multiple driving modes calculate speed profiles that are ideal for their own set of constraints simultaneously to ...
Ozgenur Kavas-Torris, Levent Guvenc
doaj +1 more source
Designing an Adaptive Interface: Using Eye Tracking to Classify How Information Usage Changes Over Time in Partially Automated Vehicles [PDF]
, 2020 While partially automated vehicles can provide a range of benefits, they also bring about new Human Machine Interface (HMI) challenges around ensuring the driver remains alert and is able to take control of the vehicle when required.
Birrell, S. +3 more
core +2 more sources
Managing Driving Modes in Automated Driving Systems
Transportation Science, 2022 Current technology is unable to produce massively deployable, fully automated vehicles that do not require human intervention. Given that such limitations are projected to persist for decades, scenarios requiring a driver to assume control of a semiautomated vehicle, and vice versa, will remain a feature of modern roadways for the foreseeable future ...
Ríos Insua, David +2 more
openaire +3 more sources
Security Issues in Shared Automated Mobility Systems: A Feminist HCI Perspective
Multimodal Technologies and Interaction, 2021 The spread of automated vehicles (AVs) is expected to disrupt our mobility behavior. Currently, a male bias is prevalent in the technology industry in general, and in the automotive industry in particular, mainly focusing on white men.
Martina Schuß +2 more
doaj +1 more source
How Do Drivers Perceive Risks During Automated Driving Scenarios? An fNIRS Neuroimaging Study. [PDF]
Hum Factors, 2023 Objective Using brain haemodynamic responses to measure perceived risk from traffic complexity during automated driving. Background Although well-established during manual driving, the effects of driver risk perception during automated driving remain ...
Perello-March J +4 more
europepmc +2 more sources
A Review of the Impact of Rain on Camera-Based Perception in Automated Driving Systems
IEEE Access, 2023 Automated vehicles rely heavily on image data from visible spectrum cameras to perform a wide range of tasks from object detection, classification, and avoidance to path planning.
Tim Brophy +9 more
semanticscholar +1 more source