... maybe seen at http://creativecommons.org/licences/by/4.0/legalcode Deep learning Machine learning Autonomous driving Trajectory prediction Motion prediction is a crucial component of developing autonomous vehicles (Wang, 2010). However, it is a hard problem due to the complexity...

... (DOCs) using a machine learning model and natural driving data collected by a vehicle equipped with an advanced driving assistance system (ADAS). Design/methodology/approach Specifically, a driving style recognition framework based on longitudinal DOCs was established. To train the model, a real...

... and longitudinal accelerations, respectively, at the i-th point in one curve and the variate N is the total number of standard points in the same curve. Machine learning Advanced driver assistant systems Driver behaviors and assistance With an increasing volume of automobiles, a number...

... (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode Machine learning fNIRS Cooperative driving Driving intention identification...

...Xiaohan Li; Wenshuo Wang; Zhang Zhang; Matthias Rötting Purpose Feature selection is crucial for machine learning to recognize lane-change (LC) maneuver as there exist a large number of feature candidates. Blindly using feature could take up large storage and excessive computation time, while...