Robotics & Machine Learning Daily News2024,Issue(Jul.9) :68-69.

Findings from Southeast University Yields New Data on Intelligent Vehicles (Scen e-adaptive 3d Semantic Segmentation Based On Multi-level Boundary-semantic-enhan cement for Intelligent Vehicles)

Robotics & Machine Learning Daily News2024,Issue(Jul.9) :68-69.

Findings from Southeast University Yields New Data on Intelligent Vehicles (Scen e-adaptive 3d Semantic Segmentation Based On Multi-level Boundary-semantic-enhan cement for Intelligent Vehicles)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Transportation - Intelligent Vehi cles is the subject of a report. According tonews reporting out of Nanjing, Peo ple’s Republic of China, by NewsRx editors, research stated, “3D semantic segmen tation is a key technology of scene understanding in the self-driving field, whi ch remainschallenging problems. Recent 3D segmentation methods have achieved co mpetitive results in indoor ortypical urban traffic scenes.”

Key words

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

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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