Name
Abstract | ||
|---|---|---|
Simulating a realistic navigation of virtual pedestrians through virtual environments is a recurring subject of investigations. The various mathematical approaches used to compute the pedestrians’ paths result, i.a., in different computation-times and varying path characteristics. Customizable parameters, e.g., maximal walking speed or minimal interpersonal distance, add another level of complexity. Thus, choosing the best-fitting approach for a given environment and use-case is non-trivial, especially for novice users. To facilitate the informed choice of a specific algorithm with a certain parameter set, crowd simulation frameworks such as Menge [3] provide an extendable collection of approaches with a unified interface for usage. However, they often miss an elaborated visualization with high informative value accompanied by visual analysis methods to explore the complete simulation data in more detail - which is yet required for an informed choice. Benchmarking suites such as SteerBench [14] are a helpful approach as they objectively analyze crowd simulations, however they are too tailored to specific behavior details. To this end, we propose a preliminary design of an advanced graphical user interface providing a 2D and 3D visualization of the crowd simulation data as well as features for time navigation and an overall data exploration. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/VRW50115.2020.00033 | 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) |
Keywords | DocType | ISBN |
H.5.2 [User Interfaces]: User Interfaces,Graphical user interfaces (GUI) | Conference | 978-1-7281-6533-2 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrea Bönsch | 1 | 8 | 5.90 |
| Marcel Jonda | 2 | 0 | 0.34 |
| Jonathan Ehret | 3 | 0 | 2.03 |
| Torsten Kuhlen | 4 | 444 | 69.40 |