Loading web-font TeX/Main/Regular
Dynamic Voronoi Diagram for Moving Disks | IEEE Journals & Magazine | IEEE Xplore

Dynamic Voronoi Diagram for Moving Disks


Abstract:

Voronoi diagrams are powerful for understanding spatial properties. However, few reports have been made for moving generators despite their important applications. We pre...Show More

Abstract:

Voronoi diagrams are powerful for understanding spatial properties. However, few reports have been made for moving generators despite their important applications. We present a topology-oriented event-increment (TOI-E) algorithm for constructing a Voronoi diagram of moving circular disks in the plane over the time horizon [0, t^{\infty }). The proposed TOI-E algorithm computes the event history of the Voronoi diagram over the entire time horizon in O(k_F \log n + k_C n \log n) time with O(n \log n) preprocessing time and O(n + k_F + k_C) memory for n disk generators, k_F edge flips, and k_C disk collisions during the time horizon. Given an event history, the Voronoi diagram of an arbitrary moment t^{\ast}<t^{\infty } can be constructed in O(k^{\ast} + n) time where k^{\ast} represents the number of events in [0, t^{\ast}). An example of the collision avoidance problem among moving disks is given by predicting future conjunctions among the disks using the proposed algorithm. Dynamic Voronoi diagrams will be very useful as a platform for the planning and management of the traffics of unmanned vehicles such as cars on street, vessels on surface, drones and airplanes in air, and satellites in geospace.
Published in: IEEE Transactions on Visualization and Computer Graphics ( Volume: 27, Issue: 6, 01 June 2021)
Page(s): 2923 - 2940
Date of Publication: 16 December 2019

ISSN Information:

PubMed ID: 31841411

Funding Agency:

Citations are not available for this document.

Cites in Papers - |

Cites in Papers - Other Publishers (4)

1.
Zeyang Wang, Jun Huang, Mingxu Yi, "A Stealth–Distance Dynamic Weight Deep Q-Network Algorithm for Three-Dimensional Path Planning of Unmanned Aerial Helicopter", Aerospace, vol.10, no.8, pp.709, 2023.
2.
Jinyang Wang, Yuhua Li, Ruixuan Li, Hao Chen, Kejing Chu, "Trajectory planning for UAV navigation in dynamic environments with matrix alignment Dijkstra", Soft Computing, vol.26, no.22, pp.12599, 2022.
3.
Fengtao Xiang, Keqin Chen, Jiongming Su, Hongfu Liu, Wanpeng Zhang, "Penetration Planning and Design Method of Unmanned Aerial Vehicle Inspired by Biological Swarm Intelligence Algorithm", Wireless Communications and Mobile Computing, vol.2021, pp.1, 2021.
4.
Yue Hu, Ge Peng, Zehua Wang, Yanrong Cui, Hang Qin, "Partition Selection for Large-Scale Data Management Using KNN Join Processing", Mathematical Problems in Engineering, vol.2020, pp.1, 2020.

References

References is not available for this document.