Preprint ARPPS Augmented Reality Pipeline Prospect System

TL;DR

This paper presents the design and implementation of ARPPS, a system for pipeline prospecting in outdoor ARGIS, utilizing machine vision and sensor data, and explores neural network methods for 3D feature matching.

Contribution

It introduces a novel pipeline prospect system for ARGIS, integrating machine vision and sensor data, and studies neural network-based 3D feature matching methods.

Findings

Successful implementation of MVBPPS and SBPPS systems

Neural network-based 3D feature matching improves accuracy

Enhanced ARGIS pipeline prospecting capabilities

Abstract

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.