计量与测试技术2024,Vol.50Issue(11) :50-53.DOI:10.15988/j.cnki.1004-6941.2024.11.015

基于视锥的多模态融合目标检测算法

Multi-modal Fusion Target Detection Algorithm Based on Frustum

奚金耀 饶进军
计量与测试技术2024,Vol.50Issue(11) :50-53.DOI:10.15988/j.cnki.1004-6941.2024.11.015

基于视锥的多模态融合目标检测算法

Multi-modal Fusion Target Detection Algorithm Based on Frustum

奚金耀 1饶进军1
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作者信息

  • 1. 上海大学机电工程与自动化学院
  • 折叠

摘要

三维目标检测准确且轻量化,是移动智能机器人感知模块的关键部分.本文提出一种基于视锥的多模态融合目标检测算法F-Re-sPoint.它是一种轻量化的二阶段目标检测算法,是根据二维目标的检测结果,生成包含目标对象的视锥点云,再利用基于Residual-SA模块构建的点云检测网络,对视锥点云中的三维目标进行检测.实验表明:该方法在轻量化的前提下,可实现较高的检测准确率及较好的实时性.

Abstract

Three-dimensional object detection is accurate and lightweight,which is a key part of the perception module of intelligent mobile robots.In this paper,a cone-based multi-mode fusion target detection algorithm F-ResPoint is proposed.It is a lightweight two-stage target detection algorithm,which generates cone point cloud con-taining the target object according to the detection results of two-dimensional targets,and then uses the point cloud detection network built based on Residual-SA module to detect the three-dimensional targets in the cone point cloud.Experimental results show that this method can achieve higher detection accuracy and better real-time per-formance under the premise of lightweight.

关键词

三维目标检测/多模态融合/点云/视锥/轻量化

Key words

3D target detection/multi-modal fusion/point cloud/frustum/lightweight

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出版年

2024
计量与测试技术
成都市计量监督检定测试所

计量与测试技术

影响因子:0.175
ISSN:1004-6941
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