Collision Avoidance in Virtual Worlds Using Repulsive Field Methods and Augmented Reality Applications
Akuwan Saleh, Indah Lathifa · 2022
Augmented Reality (AR) is a merger of the virtual world with the real world in real time. This paper presents a simulation that is able to detect collisions between 3D objects and display collision avoidance movements naturally using AR technology. The methods used are Sphere-Plane Detec-tion (SPD) and Sphere-Sphere Detection (SSD) to detect collisions with reference distance and repulsive type potential field methods for collision avoidance. To display the simulation results of collision avoidance between 3D objects, the ARToolkit engine is used. The test was carried out on a web browser with a number of dynamic ± 5 objects and several static and dynamic obstacle objects. Based on the tests carried out using the SPD method, the detection distance is d 1m, while using the SSD method the detection distance is d 2m, collision avoidance using a repulsive field is obtained the vector value |V| from the initial position to the destination for object A1 is 60.9063, object B1 is worth 68, object C1 is worth 26.6 and object D1 is 27,155. Changes in repulsive values can affect object movement and object distance with dynamic obstacles and static obstacles.