세미나
- 2023.05.10
- 489
#일시: 2023년 5월 11일 목요일 오후 1시
#Zoom Link: https://sogang-ac-kr.zoom.us/j/9617817338?pwd=b0lqenI2RFFQR3NMcnJBQmJCQTlJQT09
#연사: Prof. Shobha Sundar Ram (Indraprastha Institute of Information Technology Delhi)
#제목: Inverse synthetic aperture radar imaging of automotive targets
#Abstract: Automotive targets undergoing turns in road junctions offer large synthetic apertures over short dwell times to automotive radars that can be exploited for obtaining fine cross-range resolution. Likewise the wide bandwidths of the automotive radar signal yield high range resolution profiles. Together, they are exploited for generating inverse synthetic aperture radar (ISAR) images that offer rich information regarding the targets' shape, size and trajectory. In the talk, the speaker will present a simulation framework for generating large volumes of realistic ISAR images at millimeter wave frequencies for training classifiers. The model is subsequently used for classifying different types of vehicles using real data. Further, the speaker will discuss how the ISAR images can be fused with camera images for overcoming some of the limitations with respect to radar imaging. Finally, the speaker will discuss the causes of misclassification of the radar images through explainable artificial intelligence.