Automotive User Interfaces and Interactive Vehicular Applications

Motivation
• The mobility context strongly affects which information is relevant for a user.
• It can be used to adapt the way information is presented, e.g., in a car.
• It also can be used to calculate the carbon footprint of a user.
• Or can make suggestions for a more economic or ecologic way to work.
Approach
Bus schedule
Maps
GPS
Accelerometer Compass
Result
Figure 1: Visualization of a trace using Google Earth.
Correct determination of transportation means is
depicted in green, incorrect results depicted in red.
The recognition of the railway line in parallel to the
highway is confused with driving by car.
Findings
Daniel Christoph Christian
Daniel Braun, Christoph Endres, Christian Müller
Divide Traces
into sections
(~30 m length)
Additional Information
We identified some areas with suboptimal recognition rates:
• Train rides can be confused with riding a car. (Figure 1)
• The recognition of walking is challenged by the inherent inaccuracy of the
GPS signal. (Figure 2)
• Traffic jams are sometimes confused with walking. (Figure 3)
This work was funded by the
German Federal Ministry
of Education and Research
Why using Low-Level Data?
• Low-Level GPS Data are provided by every smartphone and navigation system
• The data can be used everywhere, because need road maps etc are not necessary
• The analysis of these data is easy and fast (realtime)
function calculateSpeed(){
…
}
function calculateAcceleration(){
….
}
function contextHeuristic(){
----
}
Figure 2: Visualization of a trace with afoot parts.
Incorrect (red) results are caused by inaccuracy of the
GPS signal.
Conclusion
Mobility Contexts
Different means of
transportation :
• car
• train
• afoot
• etc
Different situations:
• urban traffic
• highways
• traffic jams
• etc
Figure 3: Visualization of a trip on the highway. Red
parts are caused by traffic jams which are confused with
walking.
• The use of low level GPS data as only source is not sufficient for
recognizing the mobility context of a user.
• It is necessary to connect the low level data with other information, such as
street maps, schedules or additional sensordata (e.g., accelerometer) to
obtain more reliable results.