In many cases, researchers use more than one sensor and synthesize their raw data to generate more meaningful information that can be of greater value than single source data. The process of merging multiple data and knowledge from different sources to represent the object into a regular, accurate, useful, meaningful representation is known as data fusion. This article summarizes the state of data fusion and compares relevant techniques. We explain possible data fusion classifications and review the most common fusion methods such as Kalman filter and The Bayesian Methods. Then we evaluate these methods and discuss the advantages and disadvantages of each method. General TermsMulti-sensor fusion, data fusion, Kalman filter, Particle filter, Bayesian methods, Dempster-Shafer.
This research mainly focuses on optimizing the transportation system in King Abdulaziz University (KAU) girls' campus by designing an autonomous robotic golf cart. The quality of any research would be promoted by conducting in-depth literature review in the domain. Hence, this research begins with a review to investigate similar artifacts (robotic cart and the ways of displaying the arrival time for the cart) that are relevant to the work. It is divided into six parts which are: autonomous mobile robots, the types of microcontrollers boards that are used in the robotic field, the types of alerts, the types of sensors that are used in autonomous mobile robot to move on track and avoid the object, the ways of displaying the arrival time schedule and the connection ways. The detailed survey on the above mentioned six areas are conducted and the results are discussed in terms of the techniques and the resources used, the methodology followed, the merits and demerits of the work, and the implementation details with the problems faced. Thus, the widely-used approaches suitable for the automated transportation system are studied and analyzed thoroughly in this literature, in order to provide directions for academicians and researchers for further work General TermsAutonomous, Robotics
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