计算机工程与应用2020，Vol.56Issue(1)：11-24,14.DOI:10.3778/j.issn.1002-8331.1909-0024
基于视觉的三维目标检测算法研究综述
Survey on Vision-Based 3D Object Detection Methods
摘要
Abstract
Vision-based object detection is an important component of environment perception systems. It has been a research hotspot in computer vision, robotics and other related fields. The 3D object detection is based on the 2D object detection, which involves the estimation of the object scale, localization and pose estimation in the camera coordinate. Compared to 2D object detection, there are still a big gap for 3D object detection in terms of accuracy and real-time performance. This paper systematically surveys the state-of-the-art vision-based 3D object detection methods based on monocular vision, stereo vision and RGB-D, and classifies them according to indoor and outdoor scenes. In addition, the paper compares and analyzes these methods on KITTI, SUN RGB-D and other datasets, and discusses on the future research direction.关键词
计算机视觉/三维目标检测/室内场景/室外场景/单目视觉/双目/深度视觉Key words
computer-vision/3D object detection/indoor scene/outdoor scene/monocular vision/stereo/depth vision分类
信息技术与安全科学引用本文复制引用
李宇杰,李煊鹏,张为公..基于视觉的三维目标检测算法研究综述[J].计算机工程与应用,2020,56(1):11-24,14.基金项目
江苏省自然科学基金青年基金(No.BK20160700) （No.BK20160700）
国家自然科学基金青年基金(No.61906038) （No.61906038）
中央高校基本科研业务费专项资金(No.2242018K40067,No.2242019K4003). （No.2242018K40067,No.2242019K4003）
