Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Exploiting Real-Time FPGA Based Adaptive Systems Technology for
  Real-Time Sensor Fusion in Next Generation Automotive Safety Systems   We present a system for the boresighting of sensors using inertial
measurement devices as the basis for developing a range of dynamic real-time
sensor fusion applications. The proof of concept utilizes a COTS FPGA platform
for sensor fusion and real-time correction of a misaligned video sensor. We
exploit a custom-designed 32-bit soft processor core and C-based design &
synthesis for rapid, platform-neutral development. Kalman filter and sensor
fusion techniques established in advanced aviation systems are applied to
automotive vehicles with results exceeding typical industry requirements for
sensor alignment. Results of the static and the dynamic tests demonstrate that
using inexpensive accelerometers mounted on (or during assembly of) a sensor
and an Inertial Measurement Unit (IMU) fixed to a vehicle can be used to
compute the misalignment of the sensor to the IMU and thus vehicle. In some
cases the model predications and test results exceeded the requirements by an
order of magnitude with a 3-sigma or 99% confidence.

9
The categories of this paper are: nlin
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int
2
The categories of this paper are: math
16
The categories of this paper are: stat
5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
15
The categories of this paper are: nucl-ex
37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
34
The categories of this paper are: chem-ph