The concealment and complex spatial relationships of urban underground pipelines present challenges in managing them. Recently, augmented reality (AR) has been a hot topic around the world, because it can enhance our perception of reality by overlaying information about the environment and its objects onto the real world. Using AR, underground pipelines can be displayed accurately, intuitively, and in real time. We analyzed the characteristics of AR and their application in underground pipeline management. We mainly focused on the AR pipeline rendering procedure based on the BeiDou Navigation Satellite System (BDS) and simultaneous localization and mapping (SLAM) technology. First, in aiming to improve the spatial accuracy of pipeline rende...
Underground pipelines pose numerous challenges to 3D visualization. Pipes and cables are conceptuall...
The three-dimensional characterization and mapping of remote environments is an important task that ...
Pipeline sensors generates significant amount of multivariate datasets during normal and leak situat...
Augmented reality (AR) is based on supplementing the view of the physical world with a computer-gene...
In this paper, we present an Augmented Reality (AR) system for aiding field workers of utility compa...
Visualization of underground infrastructures, such as pipes and cables, can be useful for infrastruc...
During a typical excavation operation, there is a high risk of inadvertently damaging the existing s...
Abstract: The U.S. has more than 14 million miles of buried pipelines and utilities, many of which a...
Sewer pipes are important to inspect for damage and blockages. Mobile robots with cameras are a natu...
Recent advances in computational capacity and computer vision methods have brought augmented reality...
Underground pipelines pose numerous challenges to 3D visualization. Pipes and cables are conceptuall...
Augmented Reality (AR) applications can be used to improve tasks and mitigate errors during faciliti...
International audienceIn this work-in-progress and demo paper, we present an ongoing experiment of u...
Presently, we developed a novel robust motion estimation method for localization and mapping in unde...
Way-finding is one of main challenges for pedestrians in large subterranean spaces with complex netw...
Underground pipelines pose numerous challenges to 3D visualization. Pipes and cables are conceptuall...
The three-dimensional characterization and mapping of remote environments is an important task that ...
Pipeline sensors generates significant amount of multivariate datasets during normal and leak situat...
Augmented reality (AR) is based on supplementing the view of the physical world with a computer-gene...
In this paper, we present an Augmented Reality (AR) system for aiding field workers of utility compa...
Visualization of underground infrastructures, such as pipes and cables, can be useful for infrastruc...
During a typical excavation operation, there is a high risk of inadvertently damaging the existing s...
Abstract: The U.S. has more than 14 million miles of buried pipelines and utilities, many of which a...
Sewer pipes are important to inspect for damage and blockages. Mobile robots with cameras are a natu...
Recent advances in computational capacity and computer vision methods have brought augmented reality...
Underground pipelines pose numerous challenges to 3D visualization. Pipes and cables are conceptuall...
Augmented Reality (AR) applications can be used to improve tasks and mitigate errors during faciliti...
International audienceIn this work-in-progress and demo paper, we present an ongoing experiment of u...
Presently, we developed a novel robust motion estimation method for localization and mapping in unde...
Way-finding is one of main challenges for pedestrians in large subterranean spaces with complex netw...
Underground pipelines pose numerous challenges to 3D visualization. Pipes and cables are conceptuall...
The three-dimensional characterization and mapping of remote environments is an important task that ...
Pipeline sensors generates significant amount of multivariate datasets during normal and leak situat...