Abstract
In virtual environments, navigation is one of the most fundamental tasks that requires timely collision detection and collision avoidance mechanisms [1]. It was shown that when navigation is constrained to moving on a terrain surface, the problem of collision detection can be reduced from 3D to 2D case, by rasterizing all 3D objects that constitute travel obstacles and encoding them into a terrain elevation image map, using a dedicated color [2]. The original algorithm was developed for static Virtual Reality (VR) scenes explored by a single user, immersed into the scene with a head mounted display and navigating by continuous steering.
The new improved system, presented in this article, is capable of processing collisions for various types of virtual travelers, ranging from immersed VR users to autonomous virtual agents, in dynamically changing environments with moving obstacles. Implementation details of the new system are presented, with a number of case studies and a discussion of future work.
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Sherstyuk, A., Kiyokawa, K. (2014). Collision-Free Navigation with Extended Terrain Maps. In: Gavrilova, M.L., Tan, C.J.K., Mao, X., Hong, L. (eds) Transactions on Computational Science XXIII. Lecture Notes in Computer Science, vol 8490. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43790-2_8
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DOI: https://doi.org/10.1007/978-3-662-43790-2_8
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