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
Repeated Usage of an L3 Motorway Chauffeur: Change of Evaluation and Usage
Information, 2020 Most studies on users’ perception of highly automated driving functions are focused on first contact/single usage. Nevertheless, it is expected that with repeated usage, acceptance and usage of automated driving functions might change this ...
Barbara Metz +4 more
doaj +1 more source
International Journal of Automotive Engineering, 2021 As deep learning methods in image recognition have achieved excellent performance, researchers have begun to apply CNNs(convolutional neural networks) to automated driving.
Chenkai Zhang +2 more
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
Scenario-based collision detection using machine learning for highly automated driving systems
Systems Science & Control Engineering, 2023 Highly Automated Driving (HAD) systems implement new features to improve the performance, safety and comfort of partially or fully automated vehicles. The identification of safety parameters by means of complex systems and the driving environment is a ...
Marzana Khatun, Rolf Jung, Michael Glaß
doaj +1 more source
How speed and visibility influence preferred headway distances in highly automated driving [PDF]
, 2019 While the introduction of highly automated vehicles promises lower accident numbers, a main requirement for wide use of these vehicles will be the acceptance by drivers.
Siebert, Felix Wilhelm +1 more
core +1 more source
Task planning for highly automated driving
2015 IEEE Intelligent Vehicles Symposium (IV), 2015 A hybrid planning approach is presented in this paper with the focus of integrating task planning and motion planning for highly automated driving. In the context of task planning, the vehicle and environment states are transformed from the continuous configuration space to a discrete state space.
Chao Chen +3 more
openaire +2 more sources
A Taxonomy for Quality in Simulation-Based Development and Testing of Automated Driving Systems
IEEE Access, 2022 Ensuring the quality of automated driving systems is a major challenge the automotive industry faces. In this context, quality defines the degree to which an object meets expectations and requirements.
Barbara Schutt +4 more
doaj +1 more source
Macroscopic Safety Requirements for Highly Automated Driving [PDF]
Transportation Research Record: Journal of the Transportation Research Board, 2019 The common expectation for highly automated vehicles (HAVs) is that an introduction will lead to increased road safety and a reduction in traffic fatalities—at least in relation to the mileage. However, quantizing the safety requirements is still in discussion.
Junietz, Philipp +2 more
openaire +1 more source
Decision-Making for Automated Vehicles Using a Hierarchical Behavior-Based Arbitration Scheme
, 2020 Behavior planning and decision-making are some of the biggest challenges for highly automated systems. A fully automated vehicle (AV) is confronted with numerous tactical and strategical choices.
Burger, Christoph +2 more
core +1 more source