Canoe: An Autonomous Infrastructure-Free Indoor Navigation System

Canoe: An Autonomous Infrastructure-Free Indoor Navigation System

The development of the Internet of Things (IoT) has accelerated research in indoor navigation systems, a majority of which rely on adequate wireless signals and sources. Nonetheless, deploying such a system requires periodic site-survey, which is time consuming and labor intensive. To address this issue, in this paper we present Canoe, an indoor navigation system that considers shopping mall sc...

An Evaluation of Infrastructure-free and Infrastructure-based Indoor Positioning Methods with the Focus on Pedestrian Dead Reckoning

The expansion of location-based services (LBS) and their applications has led to a growing interest in localization, which can be done on the smartphone platform. Various positioning techniques can be used for indoor or outdoor positioning. Indoor positioning systems have been one of the most challenging technologies in location-based services over the past decade. Considering the increase of p...

Autonomous Navigation of Indoor Mobile Robot Using Global Ultrasonic System

A Universal Vision-based Navigation System for Autonomous Indoor Robots

The topic of autonomous robotics is very popular nowadays because of the great diversity of applications for which an autonomous robot can provide a better solution than previously existing methods. Initially, the main concern of researchers of this topic was to make manipulations possible in areas where human presence is impossible, highly dangerous or otherwise impractical. An example of such...

An Incremental Slam Algorithm for Indoor Autonomous Navigation

Robots indoor autonomous navigation is a crucial requirement for many challenging applications like the inspection of unstructured and harsh environments. Simultaneous Localization and Mapping (SLAM) is a key component to navigate autonomously. A novel embedded incremental algorithm that could be used on ground or aerial robots to localize and create 3D maps of an unknown GPS-denied environment...