Robotics & Machine Learning Daily News2024,Issue(Jul.4) :59-60.

Findings from Shanghai Jiao Tong University Broaden Understanding of Intelligent Vehicles (Scalable 3d Object Detection Pipeline With Center-based Sequential Fe ature Aggregation for Intelligent Vehicles)

上海交通大学的研究成果拓宽了对智能车辆的理解(智能车辆的可扩展三维目标检测管道,基于中心的序列特征聚合)

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :59-60.

Findings from Shanghai Jiao Tong University Broaden Understanding of Intelligent Vehicles (Scalable 3d Object Detection Pipeline With Center-based Sequential Fe ature Aggregation for Intelligent Vehicles)

上海交通大学的研究成果拓宽了对智能车辆的理解(智能车辆的可扩展三维目标检测管道,基于中心的序列特征聚合)

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摘要

《机器人与机器学习每日新闻》的一名新闻记者兼新闻编辑——关于交通的最新研究成果——智能车辆已经发表。根据NewsRx记者从中国上海发回的新闻报道,研究表明:“三维物体检测在智能车辆的感知系统中起着关键作用,激光雷达点提供的可靠的三维结构信息使位置和姿态的精确回归成为可能,而稀疏点引起的语义模糊仍然具有挑战性。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Transportation - Intelli gent Vehicles have been published. According to news reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “3D object detection plays a key role in the perception system of intelligent v ehicles. The reliable 3D structural information provided by LiDAR points enables the accurate regression of position and pose, while the semantic ambiguity issu e caused by the sparse points is still challenging.”

Key words

Shanghai/People’s Republic of China/Asia/Intelligent Vehicles/Transportation/Shanghai Jiao Tong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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