The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Crowd of Virtual Humans: a New Approach for Real Time Navigation in Complex and Structured Environments
Open accessAbstract
The navigation activity is an every day practice for any human being capable of locomotion. Our objective in this work is to reproduce this crucial human activity inside virtual environments. Putting together the high complexity of a realistic environment such as a city, a big amount of virtual humans and the real‐time constraint requires to optimize each aspect of the animation process. In this paper, we present a suitable topological structuring of the geometric environment to allow fast path finding as well as an efficient reactive navigation algorithm for virtual humans evolving inside a crowd.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Natural movement: or, configuration and attraction in urban pedestrian movement
Hillier, B., Penn, A., Hanson, J., Grajewski, T., & Xu, J. (1993) · Environment and Planning B: Planning and Design · doi:10.1068/b200029 · Cited by 1,581
Cited by
Treuille, A., Cooper, S., & Popović, Z. (2006) · ACM Transactions on Graphics · doi:10.1145/1141911.1142008 · Cited by 874
Metadata
- Authors
- Lamarche, F., & Donikian, S.
- Venue
- Computer Graphics Forum
- Publisher
- Wiley
- Published
- 2004-08-27
- Volume
- 23
- Issue
- 3
- Pages
- 509-518
- ISSN
- 0167-7055 (ISSN-L)
- 1467-8659
- OpenAlex
- W2028415715
- Cited by
- 271
- References
- 1
- FWCI
- 32.50
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Crowd of Virtual Humans: a New Approach for Real Time Navigation in Complex and Structured Environments. https://app.cochat.ai/papers/10.1111/j.1467-8659.2004.00782.x
- The paper
- Lamarche, F., & Donikian, S. (2004). Crowd of Virtual Humans: a New Approach for Real Time Navigation in Complex and Structured Environments. Computer Graphics Forum. https://doi.org/10.1111/j.1467-8659.2004.00782.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
