Review on Millimeter-Wave Radar and Camera Fusion Technology

被引:18
|
作者
Zhou, Yong [1 ]
Dong, Yanyan [2 ]
Hou, Fujin [1 ]
Wu, Jianqing [3 ]
机构
[1] Shandong Hi Speed Construct Management Grp Co Ltd, Jinan 250100, Peoples R China
[2] Lanzhou Jiaotong Univ, Sch Traff & Transportat, Lanzhou 730070, Peoples R China
[3] Shandong Univ, Suzhou Res Inst, Suzhou 250199, Peoples R China
基金
中国国家自然科学基金;
关键词
data fusion; spatio-temporal alignment; information correlation; SELF-CALIBRATION; OBSTACLE DETECTION; VISION FUSION;
D O I
10.3390/su14095114
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Cameras allow for highly accurate identification of targets. However, it is difficult to obtain spatial position and velocity information about a target by relying solely on images. The millimeter-wave radar (MMW radar) sensor itself easily acquires spatial position and velocity information of the target but cannot identify the shape of the target. MMW radar and camera, as two sensors with complementary strengths, have been heavily researched in intelligent transportation. This article examines and reviews domestic and international research techniques for the definition, process, and data correlation of MMW radar and camera fusion. This article describes the structure and hierarchy of MMW radar and camera fusion, it also presents its fusion process, including spatio-temporal alignment, sensor calibration, and data information correlation methods. The data fusion algorithms from MMW radar and camera are described separately from traditional fusion algorithms and deep learning based algorithms, and their advantages and disadvantages are briefly evaluated.
引用
收藏
页数:32
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