Webb15 feb. 2024 · We predict two types of discretionary lane-change maneuvers: overtaking (from the slow to the fast lane) and fold-down (from the fast to the slow lane). The prediction accuracy is quantified using total, lane-changing and lane-keeping errors and associated receiver operating characteristic curves. Webb6 okt. 2024 · Changing Lanes: Watch Median Movers & Cone Collectors Rapidly Modify Roads. From everyday lane switches to periodic construction detours, being able to …
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WebbFör 1 dag sedan · Manage code changes Issues. Plan and track work Discussions. ... (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch ... machine-learning control prediction planning perception self-driving-car autonomous-driving autonomous-vehicles lane … Webb23 mars 2024 · Application of machine learning algorithms in lane-changing model for intelligent vehicles exiting to off-ramp Changyin Dong a School of Transportation, … geoffrey harris bmc capital
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Webb6 apr. 2024 · Unreasonable lane change trajectory and vehicle speed may cause the vehicle to lose stability, threaten driving safety, increase energy consumption and waste … Webb1 apr. 2024 · The lane-changing (LC) and car-following are two basic components of driving behaviours. 18% of total roadway crashes and 10% of delays in China are caused by unsafe lane-changing behaviours according to statistics [1]. The lane-changing has a significant impact on traffic flow. Webb31 jan. 2024 · This paper proposes a joint neural network model to imitate lane-changing behaviors. Specifically, lane-changing decision-making process is captured by probabilistic neural network (PNN) and lane-changing decision-making process is learned by back-propagation neural network (BPNN). The link between the two neural networks … geoffrey harrison