Robotics & Machine Learning Daily News2024,Issue(Jul.4) :68-69.

Investigators at Beihang University Report Findings in Intelligent Vehicles (Lxl : Lidar Excluded Lean 3d Object Detection With 4d Imaging Radar and Camera Fusion)

北航大学的研究人员报告了智能车辆的发现(Lxl:激光雷达排除了4D成像雷达和摄像机融合的精益三维物体探测)

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :68-69.

Investigators at Beihang University Report Findings in Intelligent Vehicles (Lxl : Lidar Excluded Lean 3d Object Detection With 4d Imaging Radar and Camera Fusion)

北航大学的研究人员报告了智能车辆的发现(Lxl:激光雷达排除了4D成像雷达和摄像机融合的精益三维物体探测)

扫码查看

摘要

一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-交通研究发现-智能车辆在一份新的报告中讨论。据NewsRx记者从中国北京发回的新闻报道,研究表明,“作为一种成像技术和相对便宜的设备,4D成像雷达已经被证实在自动驾驶中能够有效地进行3D目标检测。然而,4D雷达点云的稀疏性和噪声影响了性能的进一步提高。”关于其与OT HER模式融合的深入研究还缺乏。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Transportation - Intelligent Vehicles are discussed in a new report. According to news reporting from Beijin g, People’s Republic of China, by NewsRx journalists, research stated, “As an em erging technology and a relatively affordable device, the 4D imaging radar has a lready been confirmed effective in performing 3D object detection in autonomous driving. Nevertheless, the sparsity and noisiness of 4D radar point clouds hinde r further performance improvement, and in-depth studies about its fusion with ot her modalities are lacking.”

Key words

Beijing/People’s Republic of China/Asia/Intelligent Vehicles/Transportation/Beihang University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文