Robotics & Machine Learning Daily News2024,Issue(Apr.29) :31-31.

Researchers from University of Connecticut Report Findings in Robotics and Autom ation (Collaborative Multi-object Tracking With Conformal Uncertainty Propagatio n)

Robotics & Machine Learning Daily News2024,Issue(Apr.29) :31-31.

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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Abstract

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.”

Key words

Storrs/Connecticut/United States/Nort h and Central America/Robotics and Automation/Robotics/University of Connecti cut

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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