Self-supervised classification of dynamic obstacles using the temporal information provided by videos

Autor: Hamideche, Sid Ali, Chiaroni, Florent, Rahal, Mohamed-Cherif

Nowadays, autonomous driving systems can detect, segment, and classify the surrounding obstacles using a monocular camera. However, state-of-the-art methods solving these tasks generally perform a fully supervised learning process and require a large

Externí odkaz: http://arxiv.org/abs/1910.09094

Indoor-Outdoor Detection using Time Series Classification and User Behavioral Cognition

Autor: Sid Ali Hamideche, Marie Line Alberi Morel, Kamal Singh, Cesar Viho

Publikováno v: WMNC 2022-14th IFIP Wireless and Mobile Networking Conference
WMNC 2022-14th IFIP Wireless and Mobile Networking Conference, Oct 2022, Sousse, Tunisia. pp.1-8

International audience; During the last decades, different studies highlighted the benefits of acquiring channel state cognition based on the environmental context of mobile users or devices. Thanks to this cognition, cellular networks can optimize t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac74b6daa60ec46f5e6f0956986265ee
https://hal.science/hal-03830890