摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器人学和自动化的最新研究成果已经发表。据新华社记者从沈镇传来的消息称，研究表明：“预测行人未来合理的路径对于人类生存至关重要。”应用（例如，自动驾驶和服务机器人）。现有踩踏条纹轨迹预测方法主要集中在单场景测试中多sc ene训练模型的性能上,忽略了多sc ene训练模型在单场景测试中的应用跨场景知识在实践中的影响。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Robotics - Ro botics and Automation have been published.According to news originating from Sh enzhen, People’s Republic of China, by NewsRx correspondents,research stated, “ Predicting the plausible future paths of pedestrians is essential for human-invo lvedapplications (e.g., autonomous driving and service robotics). Existing pede strian trajectory predictionmethods mainly focus on the performance of multi-sc ene trained models in single-scene tests, neglectingthe cross-scene knowledge d ifferences in practice.”
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