This paper presents a survey on applicability of
expert system in designing and control of autonomous vehicles.
Each of reviewed papers categorized on five categories as expert
system, fuzzy expert system, neuro-fuzzy expert system, genetic
plus neuro-fuzzy expert system and transition systems. Some
earlier works used only a rule based expert system for driving
the car but due to the lack of a precise model because of the
uncertainty in modelling and have a simple, rapid and easily
maintained design some others used fuzzy rule based system.
The rules extracted from an expert’s knowledge, because of
some fuzzy bottlenecks some articles used combination of neural
network or genetic algorithms with fuzzy to produce an efficient
knowledge base and finally there is an article that used a
transition system that is extracted from an expert knowledge to
produce the rule base of the expert system. The goal of the
expert system is to issue commands to the controllers to do the
appropriate task. The review reveals that due to some
advantages of fuzzy, neural and genetic algorithms, most of
articles used from this techniques beside expert system.