A review of automatic driving target detection based on camera and millimeter wave radar fusion technology
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, fo...
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| Format: | Article |
| Language: | English |
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Universiti Malaysia Pahang
2025
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| Online Access: | http://umpir.ump.edu.my/id/eprint/44373/ http://umpir.ump.edu.my/id/eprint/44373/1/A%20Review%20of%20Automatic%20Driving%20Target%20Detection.pdf |
| _version_ | 1848827088149151744 |
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| author | Tao, Zhenhua Ngui, Wai Keng |
| author_facet | Tao, Zhenhua Ngui, Wai Keng |
| author_sort | Tao, Zhenhua |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T03:55:09Z |
| format | Article |
| id | ump-44373 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:55:09Z |
| publishDate | 2025 |
| publisher | Universiti Malaysia Pahang |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-443732025-04-22T07:06:34Z http://umpir.ump.edu.my/id/eprint/44373/ A review of automatic driving target detection based on camera and millimeter wave radar fusion technology Tao, Zhenhua Ngui, Wai Keng TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics 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. Universiti Malaysia Pahang 2025-02-20 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/44373/1/A%20Review%20of%20Automatic%20Driving%20Target%20Detection.pdf 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) https://doi.org/10.15282/ijame.22.1.2025.3.0920 https://doi.org/10.15282/ijame.22.1.2025.3.0920 |
| spellingShingle | TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Tao, Zhenhua Ngui, Wai Keng A review of automatic driving target detection based on camera and millimeter wave radar fusion technology |
| title | A review of automatic driving target detection based on camera and millimeter wave radar fusion technology |
| title_full | A review of automatic driving target detection based on camera and millimeter wave radar fusion technology |
| title_fullStr | A review of automatic driving target detection based on camera and millimeter wave radar fusion technology |
| title_full_unstemmed | A review of automatic driving target detection based on camera and millimeter wave radar fusion technology |
| title_short | A review of automatic driving target detection based on camera and millimeter wave radar fusion technology |
| title_sort | review of automatic driving target detection based on camera and millimeter wave radar fusion technology |
| topic | TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics |
| url | http://umpir.ump.edu.my/id/eprint/44373/ http://umpir.ump.edu.my/id/eprint/44373/ http://umpir.ump.edu.my/id/eprint/44373/ http://umpir.ump.edu.my/id/eprint/44373/1/A%20Review%20of%20Automatic%20Driving%20Target%20Detection.pdf |