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 … Webb12 okt. 2024 · The microscopic lane-changing behavior of vehicles is analyzed by the molecular-dynamics theory. Based on the objective quantification of the lane-changing intention, the interaction potential is …
Changing Lanes: Watch Median Movers & Cone Collectors Rapidly …
WebbAn automated lane-changing system enables autonomous vehicles to change lanes and travel along a collision-free path to reach a destination. Automated Driving Toolbox™ … Webb1 sep. 2005 · The technique was applied to experimental data from an instrumented vehicle that included both behavioral data and environmental data. Comparing these results to recent results using a novel “mind-tracking” technique, we found that SVMs outperformed earlier algorithms and proved especially effective in early detection of … bradford 2022 census
[2011.01224] A Lane-Changing Prediction Method Based on …
Webb1 sep. 2024 · A data-driven lane-changing model based on deep learning - ScienceDirect Transportation Research Part C: Emerging Technologies Volume 106, September 2024, Pages 41-60 A data-driven lane-changing model based on deep learning ☆ Dong-Fan Xie a b , Zhe-Zhe Fang a , Jia a , Zhengbing He c Add to Mendeley WebbThe invention relates to an automatic lane changing method for a vehicle, which comprises the following steps: acquiring a plurality of areas in a target lane; calculating … WebbIn this work, the authors propose a machine learning-based approach for lane-changing behavior evaluation using data collected from multiple sensors. The lane change behavior data was collected by the motion sensors embedded in smartphones and multiple cameras installed inside the vehicle. h6 wolf\\u0027s-head