A Bayesian Approach to Detect Pedestrian Destination-Sequences from WiFi Signatures: Data (tech. report 2013)
收藏NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://zenodo.org/records/8492
下载链接
链接失效反馈官方服务:
资源简介:
This dataset contains the data used in:
Danalet, A., Farooq, B. and Bierlaire, M. (2013). A Bayesian Approach to Detect Pedestrian Destination-Sequences from WiFi Signatures, Technical report, Transport and Mobility Laboratory, ENAC, Ecole Polytechnique Fédérale de Lausanne, Lausanne. URL: http://infoscience.epfl.ch/record/189759 (full text available)
It contains data and a technical report describing
WiFi traces
Pedestrian Semantically-Enriched Routing Graph (SERG), and
Potential Attractivity measure (PAM).
创建时间:
2020-01-24



