首页|Researchers from University of Connecticut Report Findings in Robotics and Autom ation (Collaborative Multi-object Tracking With Conformal Uncertainty Propagatio n)
Researchers from University of Connecticut Report Findings in Robotics and Autom ation (Collaborative Multi-object Tracking With Conformal Uncertainty Propagatio n)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics - Robotics and Automation. According tonews originating from Storrs, C onnecticut, by NewsRx correspondents, research stated, “Object detectionand mul tiple object tracking (MOT) are essential components of self-driving systems. Ac curate detectionand uncertainty quantification are both critical for onboard mo dules, such as perception, prediction, andplanning, to improve the safety and r obustness of autonomous vehicles.”
StorrsConnecticutUnited StatesNort h and Central AmericaRobotics and AutomationRoboticsUniversity of Connecti cut
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