“ADAS For the Car of the Future”
Interface Concepts for Advanced Driver Assistant Systems in a Sustainable Mobility Concept of 2020 Background Intelligent Vehicle Systems offer great potential to future mobility. An increase of intelligent invehicle applications may improve safety and provide comfort. Several sources indicate the benefits of Advanced Driver Assistance Systems and other Intelligent Transportation Systems to be significant. For the Car of the Future, a concept development challenge initiated by the Dutch Society for Nature and Environment, it's therefore vital to be equipped
with these systems. It can improve the active safety aspects of the vehicle, and make the car more attractive to buy and use.
Methods & Results The first part of the research is based primarily on literature. A state of the art of ADAS is presented, as well as an overview of ADAS related research projects. Several ADAS systems, such as Adaptive Cruise Control (ACC), Lane Departure Warning (LDW)and Intelligent Speed Assistance (ISA) are already popular among car
manufacturers, or are being developed.
To try and integrate a selection of these systems into a single integrated ADAS concept, a design approach has been
defined. The approach splits the research into two main parts. The first part covers the design of an integrated ADAS system. The second part covers the design of interface concepts for the ADAS system.
System Concept
The first part, the design of an ADAS system started with the investigation of user and stakeholder requirements. It was found that drivers accept ADAS systems, as long as they keep a certain amount of control. To comply to these
requirements, the system uses so called system states. Every system state offers a certain amount of control, leaving the choice with the driver.
To define which drive tasks were to be supported, a system analysis of current ADAS systems has been made.
Functions of these systems have been integrated into new multipurpose functions and components. The results offers the support of the future driver in both longitudinal and lateral direction, by combining functions of current systems
like cruise control, lane monitoring and control, obstacle avoidance and speed assistance. Improving safety is the
primary goal of the system. Other characteristics are its flexibility and adaptability in use, and sustainable component selection.
Interface Concept
In the second part of the research, an interface framework was designed. Interactions between the driver and system
have been investigated and used to define information flows. Next, input and output channels have been defined,
indicating which information is presented to the user (output for a particular system state) and which information is used as input.
For the resulting interface framework four concepts have been designed, differing in feasibility and 'fanciness'. These concepts were named Classic, Adaptive, Futuristic and Road Assistant, referring to their key features.
Conclusions & Recommendations The research ended with evaluations of both the system concept and the interface concepts. As for the system concept, further research regarding law, workload management and sensor integration is required. For the interface design, the 'Adaptive interface' and the 'Road Assistant' concepts turn out to be most favourable for further development, based on system and interface evaluations.
[1]
Shyh-Jong Chung,et al.
A compact 24 GHz radar sensor for vehicle sideway-looking applications
,
2005,
European Radar Conference, 2005. EURAD 2005..
[2]
Hubert S. Markl.
Fear of the future
,
2005,
Nature.
[3]
Fabio Tango,et al.
In-car machine-human interaction: how the new vehicle technologies which respond to the vehicles needs could match with the user-centered approach and contribute to shape a user-centered design approach
,
2004,
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).
[4]
Alessandro De Gloria,et al.
COMUNICAR: designing a multimedia, context-aware human-machine interface for cars
,
2004,
Cognition, Technology & Work.
[5]
Bart van Arem,et al.
Integrated driver assistance from the driver's perspective. Results from a user needs survey
,
2005
.
[6]
SCHMID-LAMBERG.
[Or the like].
,
1952,
Hippokrates.
[7]
I. J. Chalmers.
User attitudes to automated highway systems
,
2001
.
[8]
Angelos Amditis,et al.
Design and development of an adaptive integrated driver-vehicle interface
,
2004
.