… Abstract—As more and more autonomousvehicles (AVs) are being … driving scenarios are explored. Moreover, we evaluate the proposed algorithm on naturalistic humandrivingdata by …
L Li, K Ota, M Dong - IEEE Transactions on Vehicular …, 2018 - ieeexplore.ieee.org
… the self-driving performance in real-life road conditions, where most vehicles are in the hands of human … more driving testings in order to further expand the dataset for network training. …
… , and generate an autonomous control policy in real time. We … and on humandrivingdata from the NGSIM dataset. Our results … To operate in the real world, autonomousvehicles (AVs) …
X Wen, Z Cui, S Jian - Accident Analysis & Prevention, 2022 - Elsevier
… real-world data is used to understand the effects of the leading automatedvehicles on the following human … used in this study is retrieved from the Waymo Open Dataset released by …
… analyzing the resulting data. Experiments with a realautonomousvehicle at an industrial … ii) the gap between simulated and real worlds can be systematically evaluated and bridged. …
J Li, L Sun, W Zhan… - Dynamic Systems …, 2020 - asmedigitalcollection.asme.org
… better driving models to predict the driving behavior of humancars, we use real-world data … We then choose a model that fits the real-world data better as the one used in the prediction …
… Performance evaluation of system designed is carried out by performing various experiments using INRIA PersonDataset [10], PETA–CUHK dataset [11] and real–time inputs collected …
… that autonomousvehicle navigation may soon be a reality. In … interactions of multiple autonomousvehicles at intersections. … These data suggest that there will be an incentive to both …
… approach for autonomousvehicledriving, with attention on real-life humandrivingdata and … In order to increase occupant’s acceptance and gain drivers’ trust, the autonomousdriving …