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Predicting Vehicles Trajectories in Urban Scenarios with Transformer Networks and Augmented Information.

, , , , и . IV, стр. 1051-1056. IEEE, (2021)

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Miguel Ángel Cano Paños

Miguel Ángel Alva González

Miguel Ángel Alatorre Ibargüengoitia

Miguel Ángel Palacios Lázaro

Miguel Ángel Pleitez Rafael

 

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Vehicle Lane Change Prediction on Highways Using Efficient Environment Representation and Deep Learning., , , , , , и . IEEE Access, (2021)Environment-Attention Network for Vehicle Trajectory Prediction., , , , , , и . IEEE Trans. Veh. Technol., 70 (11): 11216-11227 (2021)Enhanced WiFi localization system based on Soft Computing techniques to deal with small-scale variations in wireless sensors., , , , , , , и . Appl. Soft Comput., 11 (8): 4677-4691 (2011)Camera auto-calibration using zooming and zebra-crossing for traffic monitoring applications., , и . ITSC, стр. 608-613. IEEE, (2013)Pedestrian Path, Pose and Intention Prediction through Gaussian Process Dynamical Models and Pedestrian Activity Recognition., , , и . CoRR, (2020)Real-time Road Tracking using Templates Matching., , , и . IIA/SOCO, ICSC Academic Press, Rochester, NY, USA, (1999)Comparison between UHF RFID and BLE for Stereo-Based Tag Association in Outdoor Scenarios., , , , , , и . ICITCS, стр. 1-5. IEEE Computer Society, (2016)Assistive Pedestrian Crossings by Means of Stereo Localization and RFID Anonymous Disability Identification., , , , , и . ITSC, стр. 1357-1362. IEEE, (2015)A Comparative Analysis of Decision Trees Based Classifiers for Road Detection in Urban Environments., , , и . ITSC, стр. 719-724. IEEE, (2015)Fusing directional passive UHF RFID and stereo vision for tag association in outdoor scenarios., , , , , , и . ITSC, стр. 2527-2532. IEEE, (2016)