Yongjian Zhu

Oct 29, 2024 | mdpi.com | Wenbin Li |Yongjian Zhu |Yafei Luo |Mingxing Wei

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

Apr 9, 2024 | mdpi.com | Yafei Luo |Yongjian Zhu |Fei Huang

All articles published by MDPI are made immediately available worldwide under an open access license. No specialpermission is required to reuse all or part of the article published by MDPI, including figures and tables. Forarticles published under an open access Creative Common CC BY license, any part of the article may be reused withoutpermission provided that the original article is clearly cited. For more information, please refer tohttps://www.mdpi.com/openaccess.

Mar 11, 2024 | mdpi.com | Jiayu Wang |Ye Liu |Yongjian Zhu |Dong Wang

1. IntroductionIn the context of autonomous driving, the detection, recognition, and localization of key targets have always been one of the most critical tasks. With the development of sensor devices, computing facilities, and deep learning techniques, various algorithms for target detection have been continuously updated and iterated, leading to significant improvements in real-time performance and accuracy.