Review on Millimeter-Wave Radar and Camera Fusion Technology

Yong Zhou, Yanyan Dong, Fujin Hou and Jianqing Wu
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Yong Zhou: Shandong Hi-Speed Construction Management Group Co., Ltd., Jinan 250100, China
Yanyan Dong: School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China
Fujin Hou: Shandong Hi-Speed Construction Management Group Co., Ltd., Jinan 250100, China
Jianqing Wu: Suzhou Research Institute, Shandong University, Suzhou 250199, China

Sustainability, 2022, vol. 14, issue 9, 1-32

Abstract: 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.

Keywords: data fusion; spatio-temporal alignment; information correlation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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