Robotics & Machine Learning Daily News2024,Issue(Jan.26) :53-53.

Studies from Tongji University Have Provided New Data on Robotics and Automation (Ms-net: a Multi-path Sparse Model for Motion Prediction In Multi-scenes)

Robotics & Machine Learning Daily News2024,Issue(Jan.26) :53-53.

Studies from Tongji University Have Provided New Data on Robotics and Automation (Ms-net: a Multi-path Sparse Model for Motion Prediction In Multi-scenes)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotics - Robotics and Automation. According tonews reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, researchstated, “The multi-modality and stochastic characteristics of human behavior make motion prediction ahighly challenging task, which is critical for autonomous driving. While deep learning approaches havedemonstrated their great potential in this area, it still remains unsolved to establish a connection betweenmultiple driving scenes (e.g., merging, roundabout, intersection) and the design of deep learning models.”

Key words

Shanghai/People’s Republic of China/Asia/Robotics and Automation/Robotics/Tongji University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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