University of Twente Student Theses


SLAM for smart bikes

Elkady, O. (2022) SLAM for smart bikes.

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Abstract:In an effort to utilize technological advances in the field of computer science, often state of the art technology finds its way into previously existing activities and tools. Such as the case with driving a normal car, now advancing into autonomous vehicles aided with sensors and cameras to ensure a comfortable and safe trip for the car passengers. Similarly, this study will look into how SLAM technology could lead to advancements in the realm of smart bicycles, specifically in terms of making cycling safer and more comfortable. This will all be done by evaluating different SLAM algorithms, in terms of usability on a bike and the performance on the provided hardware, hence giving a realistic result into the usability of SLAM for the smart bike domain. After that we pursued implementing a variation on SLAM that could potentially allow for lower resource usage on embedded systems. The possibility of applying SLAM in a dynamic environment has been investigated in prior research articles[2]. Furthermore, the use of SLAM on autonomous bikes was investigated and shown to be feasible[1]. The potential applications of SLAM on smart bikes will be investigated in this study.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
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