AOHDL: Adversarial Optimized Hybrid Deep Learning Design for Preventing Attack in Radar Target Detection

In autonomous driving, Frequency-Modulated Continuous-Wave (FMCW) radar has gained widespread acceptance for target detection due to its resilience and dependability under diverse weather and illumination circumstances. Although deep learning radar target identification models have seen fast improve...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Muhammad Moin Akhtar, Yong Li, Wei Cheng, Limeng Dong, Yumei Tan, Langhuan Geng
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2024-08-01
Σειρά:	Remote Sensing
Θέματα:	RTD adversarial examples generative adversarial network (GAN) deep learning FMCW
Διαθέσιμο Online:	https://www.mdpi.com/2072-4292/16/16/3109
Ετικέτες:	Προσθήκη ετικέτας Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!