首页|Findings from Xinjiang University Broaden Understanding of Robotics and Automati on (Stagp: Spatio-temporal Adaptive Graph Pooling Network for Pedestrian Traject ory Prediction)

Findings from Xinjiang University Broaden Understanding of Robotics and Automati on (Stagp: Spatio-temporal Adaptive Graph Pooling Network for Pedestrian Traject ory Prediction)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Robotics - Robotics and Automation is now available. According tonews originating from Urumqi, People’ s Republic of China, by NewsRx correspondents, research stated,“Predicting how pedestrians will move in the future is crucial for robot navigation, autonomous driving,and video surveillance. The complex interactions among pedestrians make it difficult to predict their futuretrajectory.”

UrumqiPeople’s Republic of ChinaAsiaRobotics and AutomationRoboticsXinjiang University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.10)