Abstract: This contribution is focused on the development of the interface between the human driver and hybrid vehicle. By analyzing the state of art regarding the functional design of the displays from existing hybrid vehicles, it can be observed that only the actual state and history of relevant variables like fuel consumption, state of charge, and distance to empty are displayed. This information is important for the human driver to analyze the realized previous behavior, but what exactly the driver should or could do in next minutes to improve the driving behavior during driving is usually not displayed. In order to improve upcoming behavior and related consequences and therefore to solve the task for further efficiency improvement, a n...
The purpose of this document is to present information gathered via experimental methods on the impa...
Driving a car is becoming more and more complex. This does not happen because the functions that a...
The automotive domain is an excellent domain for investigating augmented cognition methods, and one ...
Automotive technology has been developed for decades. During this time the goal of realization of a ...
Today, automobiles are becoming more and more technologically complex, with more and more built-in d...
While automated driving systems (ADS) have progressed fast in recent years, there are still various ...
This dissertation is proposed to answer the question: how can the interactions between human and aut...
When driving a vehicle the human acts as a controller in a highly dynamic environment. Thus human be...
Currently, there are still various situations in which automated driving systems (ADS) cannot perfor...
International audienceIn partially automated vehicles, the driver and the automated system share con...
Automotive systems are being developed to increase positive driver experiences and traffic safety. A...
Contemporary studies have focused on the development of rear collision avoidance or warning systems,...
Contemporary studies have focused on the development of rear collision avoidance or warning systems...
Traffic-control devices are integral to driver-to-infrastructure and vehicle-to-infrastructure inte...
This paper intends to describe how the driving' and driver' modelling in automotive applications cou...
The purpose of this document is to present information gathered via experimental methods on the impa...
Driving a car is becoming more and more complex. This does not happen because the functions that a...
The automotive domain is an excellent domain for investigating augmented cognition methods, and one ...
Automotive technology has been developed for decades. During this time the goal of realization of a ...
Today, automobiles are becoming more and more technologically complex, with more and more built-in d...
While automated driving systems (ADS) have progressed fast in recent years, there are still various ...
This dissertation is proposed to answer the question: how can the interactions between human and aut...
When driving a vehicle the human acts as a controller in a highly dynamic environment. Thus human be...
Currently, there are still various situations in which automated driving systems (ADS) cannot perfor...
International audienceIn partially automated vehicles, the driver and the automated system share con...
Automotive systems are being developed to increase positive driver experiences and traffic safety. A...
Contemporary studies have focused on the development of rear collision avoidance or warning systems,...
Contemporary studies have focused on the development of rear collision avoidance or warning systems...
Traffic-control devices are integral to driver-to-infrastructure and vehicle-to-infrastructure inte...
This paper intends to describe how the driving' and driver' modelling in automotive applications cou...
The purpose of this document is to present information gathered via experimental methods on the impa...
Driving a car is becoming more and more complex. This does not happen because the functions that a...
The automotive domain is an excellent domain for investigating augmented cognition methods, and one ...