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5. Selection of the Object to Follow
5.2. Natural Coordinates
This chapter introduces natural coordinates that are beneficial in the mathematical
treatment of the object selection algorithms in chapter 5.3.
For the selection of the OTF, the position of each object relative to the predicted path
has to be found. Figure 5.4 illustrates a situation with two target objects, a truck and
a car. The reference point is measured by the Radio Detection and Ranging (RADAR)
sensor in the sensor coordinate system with the position vector ssj = [
sxj syj ]T
for
the j-th object. The same point has the coordinates nsj = [
sj uj ]T
in the natural
coordinate system (s,u) with its origin in the CG of the ego vehicle. The s-component
is measured along the predicted path, and the u-component is measured perpendicular
to the predicted path. In general, the predicted path is given with a number of ipoints
in the vehicle coordinate system.
Figure 5.5 illustrates the predicted path at time tk with four points (
xˆi−1|k , yˆi−1|k )
to (
xˆi+2|k , yˆi+2|k )
and three measured points (vxj,vyj), (vxr,vyr) and (vxt,vyt) in the
vehicle coordinate system. For the calculation of the natural coordinates of that point,
the point (vxq,j,vyq,j) has to be found first. In the presented case, it does not matter
if the calculation is done in the vehicle, sensor or global coordinate system. Hence, the
index for the coordinate system is left for further considerations. The equations for two
straight lines are set up that read
σi: [
xq,j
yq,j ]
= [
xˆi|k
yˆi|k ]
+ki,jpi and (5.27)
ηi: [
xq,j
yq,j ]
= [
x1
y1 ]
+mi,jni, (5.28)
where thescalarquantitieski,j andmi,j are theunknowns. Thestraight lineσi isparallel
to the longitudinal coordinate for the i-thpathelement, andηi corresponds to the lateral
coordinate. The vectors pi and ni are defined by
pi= [
pi,x
pi,y ]
= [
xˆi+1|k− xˆi|k
yˆi+1|k− yˆi|k ]
and (5.29)
ni= [−pi,y
pi,x ]
. (5.30)
Equations (5.27) to (5.30) can be solved for ki,j. If ki,j ∈ [0,1], then the coordinates
(xq,j,yq,j) could be found using eq. (5.27). The lateral distance to the path reads
dj= √
(xj−xq,j)2 +(yj−yq,j)2. (5.31)
64
Integration of Advanced Driver Assistance Systems on Full-Vehicle Level
Parametrization of an Adaptive Cruise Control System Based on Test Drives
- Title
- Integration of Advanced Driver Assistance Systems on Full-Vehicle Level
- Subtitle
- Parametrization of an Adaptive Cruise Control System Based on Test Drives
- Author
- Stefan Bernsteiner
- Publisher
- Verlag der Technischen Universität Graz
- Location
- Graz
- Date
- 2016
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-85125-469-3
- Size
- 21.0 x 29.7 cm
- Pages
- 148
- Category
- Technik