Preprint ARPPS Augmented Reality Pipeline Prospect System
This work addresses the need for improved augmented reality applications in outdoor geographic information systems, but it appears incremental as it builds on existing ARGIS solutions without specifying major breakthroughs.
The paper tackles the development of an augmented reality pipeline prospect system (ARPPS) for outdoor geographic information systems, designing two implementations: a machine vision-based system (MVBPPS) that uses neural networks for 3D feature matching, and a sensor-based system (SBPPS).
This is the preprint version of our paper on ICONIP. Outdoor augmented reality geographic information system (ARGIS) is the hot application of augmented reality over recent years. This paper concludes the key solutions of ARGIS, designs the mobile augmented reality pipeline prospect system (ARPPS), and respectively realizes the machine vision based pipeline prospect system (MVBPPS) and the sensor based pipeline prospect system (SBPPS). With the MVBPPS's realization, this paper studies the neural network based 3D features matching method.