首页|Reports Outline Robotics and Automation Findings from Stanford University (Shast a: Modeling Shape and Spatio-temporal Affinities for 3d Multi-object Tracking)
Reports Outline Robotics and Automation Findings from Stanford University (Shast a: Modeling Shape and Spatio-temporal Affinities for 3d Multi-object Tracking)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics - Robotics and Automation is now available. According to news reporting originating in Stanfor d, California, by NewsRx journalists, research stated, “Multi-object tracking (M OT) is a cornerstone capability of any robotic system. Tracking quality is large ly dependent on the quality of input detections.” Financial support for this research came from Toyota Research Institute.
StanfordCaliforniaUnited StatesNor th and Central AmericaRobotics and AutomationRoboticsStanford University
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