English(EN) X-TRACK: Physics-Aware xLSTM for Realistic Vehicle Trajectory Prediction

新的X-TRACK模型使用xLSTM和物理学进行现实车辆轨迹预测

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-25 04:00

研究人员开发了X-TRACK，一种用于自动驾驶的新型轨迹预测模型，该模型利用了扩展长短期记忆（xLSTM）架构。该新模型明确纳入了车辆运动学（即基于物理的约束），以确保生成的轨迹现实且可行。在highD和NGSIM数据集上的评估表明，X-TRACK在highD上超越了现有的最先进方法，并在NGSIM上取得了可比的结果。 AI

影响引入了一个物理感知的xLSTM模型，该模型提高了自动驾驶车辆轨迹预测的现实性和可行性。

排序理由该集群描述了一篇介绍特定AI任务新型模型架构的新学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Aanchal Rajesh Chugh, Marion Neumeier, Sebastian Dorn · 2026-05-25 04:00

X-TRACK：面向真实车辆轨迹预测的物理感知xLSTM

arXiv:2511.00266v2 Announce Type: replace Abstract: Accurate trajectory prediction is crucial for safe and reliable autonomous driving systems, requiring models that capture long-term temporal dependencies while accounting for social interactions among neighboring vehicles in hig…

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报道来源 [1]

X-TRACK：面向真实车辆轨迹预测的物理感知xLSTM

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