Tao, Zhenhua and Ngui, Wai Keng (2025) A review of automatic driving target detection based on camera and millimeter wave radar fusion technology. International Journal of Automotive and Mechanical Engineering (IJAME), 22 (1). pp. 11965-11985. ISSN 2229-8649 (Print); 2180-1606 (Online). (Published)
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Abstract
Autonomous driving relies heavily on precise target detection to ensure safety and efficiency in navigating complex environments. It typically utilizes multiple sensors to achieve comprehensive environmental perception. This review explores advancements in integrating these complementary sensors, focusing on state-of-the-art fusion methods, challenges, and applications. The combination of these sensors addresses the limitations of individual modalities: cameras excel in capturing detailed textures and colors, while millimeter wave radar provides reliable distance, velocity, and motion information under adverse weather conditions. Key findings reveal that the sparse radar data, lack of comprehensive multimodal datasets, and difficulties in correlating radar with image data pose significant hurdles. Future research should focus on developing comprehensive multimodal datasets, 4D millimeter-wave radar, and refining fusion algorithms for robustness in diverse environments. This review provides a comprehensive understanding of the current state and challenges in target detection, serving as a foundation for future innovation in autonomous driving technology.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Sensor fusion; Target detection; Automatic driving; Camera; MMW radar |
| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Mechanical and Automotive Engineering Technology |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 22 Apr 2025 07:06 |
| Last Modified: | 22 Apr 2025 07:06 |
| URI: | http://umpir.ump.edu.my/id/eprint/44373 |
| Download Statistic: | View Download Statistics |
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