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Experimental validation of lane-change intention prediction methodologies based on CNN and LSTM.

, , , , and . ITSC, page 3657-3662. IEEE, (2019)

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Accurate Global Localization Using Visual Odometry and Digital Maps on Urban Environments., , , , , , and . IEEE Trans. Intell. Transp. Syst., 13 (4): 1535-1545 (2012)Stereo-based Pedestrian Detection in Crosswalks for Pedestrian Behavioural Modelling Assessment., , , , , and . ICINCO (2), page 102-109. SciTePress, (2014)A Comparative Analysis of Decision Trees Based Classifiers for Road Detection in Urban Environments., , , and . ITSC, page 719-724. IEEE, (2015)Monocular target detection on transport infrastructures with dynamic and variable environments., , , and . ITSC, page 61-66. IEEE, (2012)Error Analysis in a Stereo Vision-Based Pedestrian Detection Sensor for Collision Avoidance Applications., , , , and . Sensors, 10 (4): 3741-3758 (2010)Vision-Based Traffic Data Collection Sensor for Automotive Applications., , , and . Sensors, 10 (1): 860-875 (2010)Trustworthy Artificial Intelligence Requirements in the Autonomous Driving Domain., and . Computer, 56 (2): 29-39 (February 2023)Realistic pedestrian behaviour in the CARLA simulator using VR and mocap., , , and . CoRR, (2023)Liability regimes in the age of AI: a use-case driven analysis of the burden of proof., , , , and . CoRR, (2022)Pedestrian and Passenger Interaction with Autonomous Vehicles: Field Study in a Crosswalk Scenario., , , , and . CoRR, (2023)