首页|Investigators at Fudan University Describe Findings in Robotics and Automation ( Hgs-mapping: Online Dense Mapping Using Hybrid Gaussian Representation In Urban Scenes)
Investigators at Fudan University Describe Findings in Robotics and Automation ( Hgs-mapping: Online Dense Mapping Using Hybrid Gaussian Representation In Urban Scenes)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on Robotics - Robotics an d Automation is the subject of a report.According to news originating from Shan ghai, People's Republic of China, by NewsRx correspondents,research stated, "On line dense mapping of urban scenes forms a fundamental cornerstone for scene understanding and navigation of autonomous vehicles. Recent advancements in dense m apping methods aremainly based on NeRF, whose rendering speed is too slow to me et online requirements. 3D GaussianSplatting (3DGS), with its rendering speed h undreds of times faster than NeRF, holds greater potentialin online dense mappi ng."Financial supporters for this research include National Natural Science Foundati on of China (NSFC),Shanghai Pujiang Program, State Key Laboratory of Intelligen t Vehicle Safety Technology Open FundProject.
ShanghaiPeople's Republic of ChinaAs iaRobotics and AutomationRoboticsFudan University
NETL
NSTL
