Vectornav VN-200 User Manual Page 4

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1 Abstract
In the last 50 years, information technology has automated many jobs like word proc es s in g,
mathematical calculation and data retrieval. However, as driving a car is much more difficult than
such simple jobs, it has always been a dream to do so autonomously with a computer. With the
development of related technologies, people have begun significant work on making this dream a
reality.
For automakers, it is more profitable to invest in a mature market semi-automatic ve hi cl es .
However, this project aims to develop a fully automated driving system that is profitable in the
market. To accomplish this, thi s project uses a sin gle personal computer in s te ad of computer clusters
as in experimental projects like Stanford’s Junior. Th is opens up the possibility of migrating the
software into high-end smartphones due to their gradually increasing performance. In this case, we
simplified existing algorithms and still keep the basic functionality, but we still have to make sure
that our system is safe enough for passengers. In addition, this project only uses cheap sensors. For
instance, the video cameras are low-end webcams and cameras in s mart ph ones rather than high-end
professional cameras. Thus, the definition of our sensors is lower and the res ponding time may be
longer. So we have to use multiple sensors to reach redundancy and robustness.
This paper discusses a subset of the larger autonomous vehicle project. In particular, i t includes
the GPS driver module migration and Orca Robotics middleware integration.
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