Pedestrian Models for Autonomous Driving Part I: Low-Level Models, from Sensing to Tracking

Autor: Camara, Fanta, Bellotto, Nicola, Cosar, Serhan, Nathanael, Dimitris, Althoff, Matthias, Wu, Jingyuan, Ruenz, Johannes, Dietrich, André, Fox, Charles W.

Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles navigating through crowds on pedestrianized high-streets. Unlike static ob

Externí odkaz: http://arxiv.org/abs/2002.11669

A graphical model based solution to the facial feature point tracking problem

Autor: Coşar, Serhan, Çetin, Müjdat

Publikováno v: In Image and Vision Computing 2011 29(5):335-350

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Online recognition of daily activities by color-depth sensing and knowledge models

Autor: Crispim-Junior, Carlos Fernando, Gómez Uría, Alvaro, Strumia, Carola, Koperski, Michal, König, Alexandra, Negin, Farhood, Cosar, Serhan, Nghiem, Anh Tuan, Chau, Duc Phu, Charpiat, Guillaume, Bremond, Francois

Publikováno v: Sensors
Sensors, MDPI, 2017, 17 (7), pp.1-15. ⟨10.3390/s17071528⟩
Sensors, 2017, 17 (7), pp.1-15. ⟨10.3390/s17071528⟩
Sensors, 17(7):1528. MDPI AG
Sensors (Basel, Switzerland)

International audience; Visual activity recognition plays a fundamental role in several research fields as a way to extract semantic meaning of images and videos. Prior work has mostly focused on classification tasks, where a label is given for a vid

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::029809a127ddc62c86d3fe8bffcaf3c2
https://hal.inria.fr/hal-01658438/file/crispim_etal_sensors2016_v5.pdf