沉思的鱼 发表于 2025-3-25 05:00:42

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Palpate 发表于 2025-3-25 08:27:21

LSTM-Based Vehicle Trajectory Prediction Using UAV Aerial Data,etwork uses vehicle trajectory data from aerial photographs of intersections taken by Unmanned Aerial Vehicle (UAV). The speed of vehicles at this location fluctuates more frequently, so predicting the trajectory of vehicles at intersections is of great importance for autonomous driving.

假设 发表于 2025-3-25 15:33:05

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candle 发表于 2025-3-25 17:52:09

Interaction-Aware Trajectory Prediction for Autonomous Vehicle Based on LSTM-MLP Model,amic feature of the target vehicle and the interactive feature to output the future trajectory based on the LSTM model. The experiments are carried out on the publicly available NGSIM dataset, and the results show that the proposed model outperforms prior works in terms of RMSE value.

HEW 发表于 2025-3-25 21:29:50

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BADGE 发表于 2025-3-26 02:57:47

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FADE 发表于 2025-3-26 07:09:10

2190-3018 erves as a reference for researchers and practitioners in acThis book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES STS 2023). Modern transportation systems have undergone a rapid transformation in recent years, producing a range of technol

合并 发表于 2025-3-26 10:26:53

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yohimbine 发表于 2025-3-26 13:15:27

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小隔间 发表于 2025-3-26 17:23:11

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查看完整版本: Titlebook: Smart Transportation Systems 2023; Proceedings of 6th K Yiming Bie,Kun Gao,Lakhmi C. Jain Conference proceedings 2023 The Editor(s) (if app