Alexander Stocker
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View article: Which partially automated driving function do drivers prefer? Results from two field studies on public highways
Which partially automated driving function do drivers prefer? Results from two field studies on public highways Open
Partial driving automation consists of several subsystems that drivers need to trust to an appropriate level and interact with in a secure manner. To investigate whether drivers adapt their trust functional specific, how they experience th…
View article: A Conceptual Framework for Mobility Data Science
A Conceptual Framework for Mobility Data Science Open
The rapid digitalization of the mobility and transport ecosystem generates an escalating volume of data as a by-product, presenting an invaluable resource for various stakeholders. This mobility and transport data can fuel data-driven serv…
View article: Monitoring Distracted Driving Behaviours with Smartphones: An Extended Systematic Literature Review
Monitoring Distracted Driving Behaviours with Smartphones: An Extended Systematic Literature Review Open
Driver behaviour monitoring is a broad area of research, with a variety of methods and approaches. Distraction from the use of electronic devices, such as smartphones for texting or talking on the phone, is one of the leading causes of veh…
View article: What do drivers prefer? A field study on longitudinal and lateral driving automation
What do drivers prefer? A field study on longitudinal and lateral driving automation Open
Vehicle automation aims to improve safety and comfort, but using partial driving automation safely can challenge drivers. To investigate how drivers trust and rely on the automation, we conducted a field study with 100 participants. While …
View article: Object Detection in Driving Datasets Using a High-Performance Computing Platform: A Benchmark Study
Object Detection in Driving Datasets Using a High-Performance Computing Platform: A Benchmark Study Open
Nowadays, machine learning methods are increasingly used in different parts of autonomous driving and driving assistance systems. Yet, data and computational requirements can be enormous with these methods. Thus, providing several datasets…
View article: Distracted Driver Monitoring with Smartphones: A Preliminary Literature Review
Distracted Driver Monitoring with Smartphones: A Preliminary Literature Review Open
Distracted driving is known to be one of the leading causes of vehicle accidents. With the increase in the number of sensors available within vehicles, there exists an abundance of data for monitoring driver behaviour, which, however, have…
View article: Driver Distraction Detection Methods: A Literature Review and Framework
Driver Distraction Detection Methods: A Literature Review and Framework Open
Driver inattention and distraction are the main causes of road accidents, many of which result in fatalities. To reduce road accidents, the development of information systems to detect driver inattention and distraction is essential. Curre…
View article: Search, reuse and sharing of research data in materials science and engineering—A qualitative interview study
Search, reuse and sharing of research data in materials science and engineering—A qualitative interview study Open
Open research data practices are a relatively new, thus still evolving part of scientific work, and their usage varies strongly within different scientific domains. In the literature, the investigation of open research data practices cover…
View article: AI-Based Driving Data Analysis for Behavior Recognition in Vehicle Cabin
AI-Based Driving Data Analysis for Behavior Recognition in Vehicle Cabin Open
For many people, driving a vehicle is an indispensable part of everyday life. However, sometimes everyday life does not go as expected, as a lot of accidents happen on the public roads. Most of the accidents are due to inattentive driver b…
View article: Digitizing Human Work Places in Manufacturing Through Augmented and Mixed Reality
Digitizing Human Work Places in Manufacturing Through Augmented and Mixed Reality Open
It is no longer obvious that the share of knowledge work in production environments is increasing. However, this is not the only reason why more attention needs to be paid to the human factor in production. It is therefore increasingly imp…
View article: Automotive CAN bus data: An Example Dataset from the AEGIS Big Data Project
Automotive CAN bus data: An Example Dataset from the AEGIS Big Data Project Open
Here you find an example research data dataset for the automotive demonstrator within the "AEGIS - Advanced Big Data Value Chain for Public Safety and Personal Security" big data project, which has received funding from the European Union’…
View article: Automotive CAN bus data: An Example Dataset from the AEGIS Big Data Project
Automotive CAN bus data: An Example Dataset from the AEGIS Big Data Project Open
Here you find an example research data dataset for the automotive demonstrator within the "AEGIS - Advanced Big Data Value Chain for Public Safety and Personal Security" big data project, which has received funding from the European Union’…
View article: Vehicle CAN bus data (with GPS)
Vehicle CAN bus data (with GPS) Open
The dataset contains 20Hz sampled CAN bus data from a passenger vehicle, e.g. WheelSpeed FL (speed of the front left wheel), SteerAngle (steering wheel angle), Role, Pitch, and accelerometer values per direction. In contrast to the dataset…
View article: Vehicle CAN bus data (with GPS)
Vehicle CAN bus data (with GPS) Open
The dataset contains 20Hz sampled CAN bus data from a passenger vehicle, e.g. WheelSpeed FL (speed of the front left wheel), SteerAngle (steering wheel angle), Role, Pitch, and accelerometer values per direction. In contrast to the dataset…
View article: Vehicle CAN bus data
Vehicle CAN bus data Open
The dataset contains 20Hz sampled CAN bus data from a passenger vehicle, e.g. WheelSpeed FL (speed of the front left wheel), SteerAngle (steering wheel angle), Role, Pitch, and accelerometer values per direction. Due to an export error, al…
View article: Vehicle CAN bus data
Vehicle CAN bus data Open
The dataset contains 20Hz sampled CAN bus data from a passenger vehicle, e.g. WheelSpeed FL (speed of the front left wheel), SteerAngle (steering wheel angle), Role, Pitch, and accelerometer values per direction. Due to an export error, al…
View article: Ultimaker 2 Sensor Data For Several Print Jobs
Ultimaker 2 Sensor Data For Several Print Jobs Open
This datasets were measured the same way as https://doi.org/10.5281/zenodo.54574. But instead of capturing only events, the positions of the printer head and the printer plate were measured for all print jobs of Ultimaker 2 3D printer unti…
View article: Ultimaker 2 Sensor Data For Several Print Jobs
Ultimaker 2 Sensor Data For Several Print Jobs Open
This datasets were measured the same way as https://doi.org/10.5281/zenodo.54574. But instead of capturing only events, the positions of the printer head and the printer plate were measured for all print jobs of Ultimaker 2 3D printer unti…
View article: Empowering production workers with digitally facilitated knowledge processes – a conceptual framework
Empowering production workers with digitally facilitated knowledge processes – a conceptual framework Open
Recent digital advancements, including social software, mobile technologies and augmented reality, offer promising opportunities to empower knowledge workers in their production environment by leveraging their knowledge processes, decision…
View article: Automotive Sensor Data. An Example Dataset from the AEGIS Big Data Project
Automotive Sensor Data. An Example Dataset from the AEGIS Big Data Project Open
This is an example research data dataset for the automotive demonstrator within the "AEGIS - Advanced Big Data Value Chain for Public Safety and Personal Security" big data project, which has received funding from the European Union’s Hori…
View article: Automotive Sensor Data. An Example Dataset from the AEGIS Big Data Project
Automotive Sensor Data. An Example Dataset from the AEGIS Big Data Project Open
This is an example research data dataset for the automotive demonstrator within the "AEGIS - Advanced Big Data Value Chain for Public Safety and Personal Security" big data project, which has received funding from the European Union’s Hori…
View article: Quantified cars: An exploration of the position of ICT start-ups vs. car manufacturers towards digital car services and sustainable business models
Quantified cars: An exploration of the position of ICT start-ups vs. car manufacturers towards digital car services and sustainable business models Open
In the age of digital technology cars will have to exceed their former functionality as a tool for transportation to survive as status symbols. One feasible approach is to provide valuable digital services based on car sensor data which cu…
View article: Participative Knowledge Management to Empower Manufacturing Workers
Participative Knowledge Management to Empower Manufacturing Workers Open
Due to the rapid technologic change, we see the role of manufacturing workers continuously changing: the increasing automation of manufacturing processes has reduced the amount of manual work, whereas the increasing complexity of manufactu…