Robotics & Machine Learning Daily News2024,Issue(Jul.4) :25-26.

Investigators from Southeast University Have Reported New Data on Intelligent Ve hicles (Robust 3d Semantic Segmentation Based On Multi-phase Multi-modal Fusion for Intelligent Vehicles)

东南大学的研究人员报告了关于智能车辆的新数据(基于智能车辆多阶段多模态融合的鲁棒三维语义分割)

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :25-26.

Investigators from Southeast University Have Reported New Data on Intelligent Ve hicles (Robust 3d Semantic Segmentation Based On Multi-phase Multi-modal Fusion for Intelligent Vehicles)

东南大学的研究人员报告了关于智能车辆的新数据(基于智能车辆多阶段多模态融合的鲁棒三维语义分割)

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摘要

由一位新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑-一项关于交通的新研究-智能车辆现在可以使用。根据NewsRx编辑在南京的新闻报道,研究表明:“三维语义分割是智能车辆的关键技术,近年来,由于颜色和文本等图像信息的互补性,通过LIDAR-C AMERA融合,人们做出了很大的努力来获得准确、稳健的三维语义分割结果。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Transportation - Intelligent Vehic les is now available. According to news reporting out of Nanjing, People’s Repub lic of China, by NewsRx editors, research stated, “3D semantic segmentation is a key technology for intelligent vehicles. Recently, great efforts have been made to achieve accurate and robust 3D semantic segmentation results through LiDAR-c amera fusion, due to the complementary information of images like color and text ure.”

Key words

Nanjing/People’s Republic of China/Asia/Intelligent Vehicles/Transportation/Southeast University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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