Vectornav VN-200 User Manual Page 7

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3 Literature Review
Autonomous driving is not an easy task. It involves various su bjects and technologies such as
automation control [12], computer visi on [13] and ar tifi ci al intelligence [14]. Thus, a working system
would be very complicated and comprehensive.
Although autonomous driving is quite challenging, with the development of related technolo-
gies, it is not completely unfeasible. There are already some companies and universities making
approaches. If it comes true in the future, there will be a revolution of transportation. With more
accurate control by computers, there would be many ben efi ts as mentioned in introduction. There-
fore, autonomous driving is import ant for improving humans’ lif e. Also, some researches have shown
the big potential market of autonomous cars [15].
Taking this big societ al and marketing impacts into account, many universities and companie s
are doing a lot of work to automate driving process. In general, there are two types of approaches:
automated mode, which does not need any human intervention, and mixed mode, which helps
human driver in some li mite d scenarios. This section will talk about two major implementations of
automated cars: the Google driverless car [16] and Stanfor d’s Junior [17], and mixed-mode designs
of Nissan.
3.1 Google Driverless Car
Figure 1 Google Driverless Car
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