Vehicles are becoming increasingly intelligent and connected. Interfaces for communication
with the vehicle, such as WiFi and 5G, enable seamless integration into the user's life, but …

Application developers in the automotive domain have to deal with thousands of different
signals, represented in highly heterogeneous formats, and coming from various car …

The Internet of Things (IoT) has accelerated the innovations in the connected car domain.
Together with Intelligent Transportation Systems (ITS), the IoT technologies envision …

Car signal data is usually hard to access, understand and integrate for non automotive
domain experts. In this paper, we use semantic technologies for enriching signal data in the …

Vehicle architectures have evolved over the past two decades to provide support for data-
driven functionalities. The typical approach in this domain has been application-centric …

The freshness of vehicle on-board applications has become an essential part in the user's
mobility demands. Based on the user's smartphone experiences, the vehicle's value is …

Predicting transportation modes from GPS (Global Positioning System) records is a hot topic
in the trajectory mining domain. Each GPS record is called a trajectory point and a trajectory …

As the automotive industry continues its evolution towards connected and autonomous
vehicles, the need to adopt a data-centric architecture for providing sophisticated driving …

In recent years, driving context perception has emerged as one of the key aspects to design
driving assistance algorithms and user interfaces that are effective in adapting to different …

How to understand better the knowledge provided by Google results to build future “smart
vehicle-centric” applications? What is the knowledge expertise required to build a smart …