Published November 22, 2023
| Version v1
Publication
Human trajectory forecasting in 3D contexts with simulated visual impairments
Creators
Contributors
Others:
- Centre Inria d'Université Côte d'Azur
- Université Côte d'Azur (UniCA)
- Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)
- Centre National de la Recherche Scientifique (CNRS)
- Institut Universitaire de France (IUF) ; Ministère de l'Education nationale, de l'Enseignement supérieur et de la Recherche (M.E.N.E.S.R.)
Description
Virtual reality (VR) provides a unique solution to improve current trajectory forecasting by capturing data in controlled, interactive scenarios, ensuring precision and inclusivity. Our work collects rich multimodal human data under VR scenarios considering the impact of low vision. We propose a novel model capable of handling multimodal data to enhance trajectory forecasting accuracy.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.science/hal-04505339
- URN
- urn:oai:HAL:hal-04505339v1
Origin repository
- Origin repository
- UNICA