Real world and virtual object obstacle in augmented reality using scene perception

Augmented Reality is a technique for combining digital content with the real world in real-time. Intel RealSense 3D cameras are used to produce digital content in markerless based Augmented Reality. This camera reconstructs a real environment in three dimensions. Scene perception is a method for reconstructing real environments in three dimensions. Utilization of this camera in Augmented Reality in the form of an autonomous agent. An autonomous agent has a navigation function to get to the destination point by searching for paths called pathfinding. Autonomous agents have three behaviors, namely, seek, arrive, and action selection. These behaviors are used autonomous agents to get to the destination point by avoiding virtual and real obstacles that exist in the real world. The scene perception method is used to make a mesh. This mesh is a virtual grid in the real world that is used as an Augmented Reality area. The navigation results of the autonomous agent using the scene perception method in Augmented Reality can work properly. Autonomous agents can go to their destination point by avoiding virtual and real obstacles. © 2020 IJSTR.