Physiological Measures of Risk Perception in Highly Automated Driving
IEEE transactions on intelligent transportation systems (Print), 2022 Highly automated driving will likely result in drivers being out-of-the-loop during specific scenarios and engaging in a wide range of non-driving related tasks.
Jaume R. Perello-March +4 more
semanticscholar +1 more source
Generating Comfortable, Safe and Comprehensible Trajectories for Automated Vehicles in Mixed Traffic
, 2018 While motion planning approaches for automated driving often focus on safety and mathematical optimality with respect to technical parameters, they barely consider convenience, perceived safety for the passenger and comprehensibility for other traffic ...
Lauer, Martin +2 more
core +1 more source
Communication Disturbance Observer Based Delay-Tolerant Control for Autonomous Driving Systems
SensorsWith the rapid growth of autonomous vehicle technologies, effective path-tracking control has become a critical component in ensuring safety and efficiency in complex traffic scenarios.
Xincheng Cao +3 more
doaj +1 more source
The effects of displaying availability sections of an automated driving function
Frontiers in Future Transportation, 2023 So far, there has been little research into displaying the availability of a higher-level automated driving system. The benefits of presenting availability times while driving automatically have already been discussed, but there are no findings on giving
Simon Danner +3 more
doaj +1 more source
A Hyperspectral Image Classification Framework with Spatial Pixel Pair Features
Sensors, 2017 During recent years, convolutional neural network (CNN)-based methods have been widely applied to hyperspectral image (HSI) classification by mostly mining the spectral variabilities.
Lingyan Ran +3 more
doaj +1 more source
Limited Visibility and Uncertainty Aware Motion Planning for Automated Driving
, 2018 Adverse weather conditions and occlusions in urban environments result in impaired perception. The uncertainties are handled in different modules of an automated vehicle, ranging from sensor level over situation prediction until motion planning.
Stiller, Christoph, Tas, Omer Sahin
core +1 more source
Highly Automated Driving, Secondary Task Performance, and Driver State [PDF]
, 2012 Objective: a driving simulator study compared the effect of changes in workload on performance in manual and highly automated driving. Changes in driver state were also observed by examining variations in blink patterns.
Carsten, O +3 more
core +1 more source
Automated Driving License Evaluation
International Journal of Scientific Research in Science and Technology, 2021 The paper is regarding the automating of driver’s license testing system and updating the results to the person through website and conjointly through registered email. Usually, while driving test the person who requested for license have to be compelled to show his driving skills ahead of the authorities.
Gopinath A R +4 more
openaire +1 more source
Convolutional Neural Network-Based Robot Navigation Using Uncalibrated Spherical Images
Sensors, 2017 Vision-based mobile robot navigation is a vibrant area of research with numerous algorithms having been developed, the vast majority of which either belong to the scene-oriented simultaneous localization and mapping (SLAM) or fall into the category of ...
Lingyan Ran +3 more
doaj +1 more source
Paving the Roadway for Safety of Automated Vehicles: An Empirical Study on Testing Challenges
, 2017 The technology in the area of automated vehicles is gaining speed and promises many advantages. However, with the recent introduction of conditionally automated driving, we have also seen accidents. Test protocols for both, conditionally automated (e.g.,
Berger, Christian +3 more
core +1 more source