首页|Studies from Tsinghua University in the Area of Robotics and Automation Reported (Dual-alignment Domain Adaptation for Pedestrian Trajectory Prediction)
Studies from Tsinghua University in the Area of Robotics and Automation Reported (Dual-alignment Domain Adaptation for Pedestrian Trajectory Prediction)
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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.”
ShenzhenPeople’s Republic of ChinaAs iaRobotics and AutomationRoboticsTsinghua University
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