Abstract
We present a new local method for collision avoidance that is based on collision prediction. In our model, each pedestrian predicts possible future collisions with other pedestrians and then makes an efficient move to avoid them. Experiments show that the new approach leads to considerably shorter and less curved paths, ensuring smooth avoidance behaviour and visually compelling simulations. The method reproduces emergent behaviour like lane formation that have been observed in real crowds. The technique is easy to implement and is fast, allowing the simulation in real time of crowds of thousands of pedestrians.
| Original language | English (US) |
|---|---|
| Title of host publication | Motion in Games - Second International Workshop, MIG 2009, Proceedings |
| Pages | 41-52 |
| Number of pages | 12 |
| DOIs | |
| State | Published - 2009 |
| Externally published | Yes |
| Event | 2nd International Workshop on Motion in Games, MIG 2009 - Zeist, Netherlands Duration: Nov 21 2009 → Nov 24 2009 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 5884 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 2nd International Workshop on Motion in Games, MIG 2009 |
|---|---|
| Country/Territory | Netherlands |
| City | Zeist |
| Period | 11/21/09 → 11/24/09 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Collision avoidance
- Interaction
- Pedestrian simulation
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