Robotics & Machine Learning Daily News2024,Issue(Jun.27) :97-98.

Findings on Robotics and Automation Discussed by Investigators at Hong Kong Univ ersity of Science and Technology (Co-occ: Coupling Explicit Feature Fusion With Volume Rendering Regularization for Multi-modal 3d Semantic Occupancy Prediction )

香港科技大学研究人员讨论的机器人与自动化研究结果(co-occ:将显式特征融合与体绘制正则化耦合用于多模态三维语义占用预测)

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :97-98.

Findings on Robotics and Automation Discussed by Investigators at Hong Kong Univ ersity of Science and Technology (Co-occ: Coupling Explicit Feature Fusion With Volume Rendering Regularization for Multi-modal 3d Semantic Occupancy Prediction )

香港科技大学研究人员讨论的机器人与自动化研究结果(co-occ:将显式特征融合与体绘制正则化耦合用于多模态三维语义占用预测)

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摘要

由一名新闻记者-机器人和机器学习的工作人员新闻编辑每日新闻-调查人员发布了关于机器人-机器人和自动化的新报告。根据NewsRx记者在中国广东的新闻报道,研究表明:“三维语义占用率预测是自主驾驶领域的一项关键任务。最近的研究方法在单模态三维语义占用率预测方面取得了很大进展。”本研究的经费来自广州基础和应用基础研究。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics - Robotics and Automation. According to news reporting from Guangdong, Pe ople’s Republic of China, by NewsRx journalists, research stated, “3D semantic o ccupancy prediction is a pivotal task in the field of autonomous driving. Recent approaches have made great advances in 3D semantic occupancy predictions on a s ingle modality.” Financial support for this research came from Guangzhou Fundamental and Applied Basic Research.

Key words

Guangdong/People’s Republic of China/A sia/Robotics and Automation/Robotics/Hong Kong University of Science and Tech nology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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