Research on Monitoring Technology Based on the Fusion of 4D Millimeter Wave Radar and Machine Vision
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0855-0_36
Reference13 articles.
1. Guo, R., Li, D., et al.: Deep multi-scale and multi-modal fusion for 3D object detection. Pattern Recogn. Lett. 151, 236–242 (2021)
2. Wei, Z., Zhang, F., et al.: MmWave radar and vision fusion for object detection in autonomous driving: a review. Sensors 22(7), 2542 (2022)
3. Kitamura, T., Suwa, K.: Doppler division multiplexed multiple-input–multiple-output imaging using cascaded millimeter-wave radars. IEEE Trans. Microw. Theor. Tech. 70(3), 1571–1581 (2021)
4. Ren, S., He, K., Girshick, R., et al.: Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(6), 1137–1149 (2017)
5. Redmon, J., Divvala, S., et al.: You only look once: unified, real-time object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Nevad, pp. 779–788. IEEE (2016)
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