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Integration of Advanced Driver Assistance Systems on Full-Vehicle Level - Parametrization of an Adaptive Cruise Control System Based on Test Drives
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2. Adaptive Cruise Control 1A 2A (a) (b) δ δ 1ϕ 2ϕ 1ε 2ε Figure 2.8.: (a) Signals received by Tx1 and Tx2 and (b) error signal of eq. (2.8), (a) and (b) forϕ1<ϕ2, both adapted from [Mah88] Assuming that d r (fig. 2.7), the difference between the two signals reads r2−r1 = d sin(ϕ). Thisdifference in lengthresults inaphaseshift∆δ= 2pidλ sin(ϕ)of thereceived signals. Using this expression and eq. (2.9), the azimuth angle can be calculated by ϕ= arcsin [ λ pi d arctan (∣∣∣∣∆∑∣∣∣∣)]. (2.10) Scanning RADAR Scanning RADAR sensors sweep a narrow RADAR beam over the FOV. Figure 2.9(a) shows an illustration for one object atϕi. The lower graph shows the received powerP for different discrete angles. The maximum of the power is received at azimuth angleϕi of the object, [Win09]. A mechanical or an electrical mechanism can be used to deflect the RADAR beam. Multi-Beam RADAR InMulti-Beam RADAR sensors, thedeviceemitsanumberoffixedbeams. Figure2.9(b) gives an example of a RADAR sensor with two beams, Tx1 and Tx2. Using the received powerP of every antenna and the antenna diagram, the azimuth angleϕi of the object can be found, [Win09]. 16
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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
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Integration of Advanced Driver Assistance Systems on Full-Vehicle Level