Simultaneous localisation and mapping is a computational problem at which the goal is mapping an unknown environment and simultaneously track the robots location. Research in this field is in full swing and examples of applications that involve this problem can be seen ever more frequently in our everyday life as in autonomous cars, drones, vacuum cleaners, etc. For preserving the simplicity of a system the goal is to reduce the number of sensors. With this intention cameras alone are used increasingly more because of their accessibility. In this work we will be discussing the theory on which algorithms for solving this problem are based on, use of cameras and robots for exploration. On our application of these systems we have observed that with a relatively simple system we can successfully create a map of the environment and track the robot location.
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