CIOMP OpenIR
MCF3D: Multi-Stage Complementary Fusion for Multi-sensor 3D Object Detection
J.R.Wang; M.Zhu; D.Y.Sun; B.Wang; W.Gao; H.Wei
2019
发表期刊Ieee Access
ISSN2169-3536
卷号7页码:90801-90814
摘要We present MCF3D, a multi-stage complementary fusion three-dimensional (3D) object detection network for autonomous driving, robot navigation, and virtual reality. This is an end-to-end learnable architecture, which takes both LIDAR point clouds and RGB images as inputs and utilizes a 3D region proposal subnet and second stage detector(s) subnet to achieve high-precision oriented 3D bounding box prediction. To fully exploit the strength of multimodal information, we design a series of fine and targeted fusion methods based on the attention mechanism and prior knowledge, including "pre-fusion," "anchorfusion," and "proposal-fusion." Our proposed RGB-Intensity form encodes the reflection intensity onto the input image to strengthen the representational power. Our designed proposal-element attention module allows the network to be guided to focus more on efficient and critical information with negligible overheads. In addition, we propose a cascade-enhanced detector for small classes, which is more selective against close false positives. The experiments on the challenging KITTI benchmark show that our MCF3D method produces state-of-the-art results while running in near real-time with a low memory footprint.
关键词3D object detection,multi-sensor fusion,attention mechanism,autonomous driving,cloud,Computer Science,Engineering,Telecommunications
DOI10.1109/access.2019.2927012
收录类别SCI ; EI
语种英语
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被引频次:14[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/63008
专题中国科学院长春光学精密机械与物理研究所
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J.R.Wang,M.Zhu,D.Y.Sun,et al. MCF3D: Multi-Stage Complementary Fusion for Multi-sensor 3D Object Detection[J]. Ieee Access,2019,7:90801-90814.
APA J.R.Wang,M.Zhu,D.Y.Sun,B.Wang,W.Gao,&H.Wei.(2019).MCF3D: Multi-Stage Complementary Fusion for Multi-sensor 3D Object Detection.Ieee Access,7,90801-90814.
MLA J.R.Wang,et al."MCF3D: Multi-Stage Complementary Fusion for Multi-sensor 3D Object Detection".Ieee Access 7(2019):90801-90814.
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