Robotic System Configuration with Localization, Path Planning, and Computer Vision

In this chapter, we study the outcomes of simultaneous localization and mapping algorithms from a 3D infrared vision sensor. Also, provided for discussion is the limitation of vision-based and other sensory-based indoor navigation and object tracking methods. At the receiver end, we measure the Received Signal Strength Index (RSSI) of a wireless node which indicates how effectively the device can capture a signal from an access point through a value that effectively indicates whether one has enough signal strength. RSSI is a simple process of location estimation and, when available, ensures that no additional hardware is needed at individual network nodes. It is difficult to estimate the position in an indoor environment directly from the RSSI values.