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About

Shaohua Gao is an optical engineering and computer vision researcher whose work centers on panoramic imaging systems, wide field-of-view optics, and their applications in scene understanding. His most influential contribution, a comprehensive review on panoramic imaging and its applications in scene understanding (2022), has garnered over 108 citations, establishing him as a key voice in the field as it intersects with artificial intelligence and high-speed communication technologies. Gao has made significant strides in the design and optimization of panoramic annular lens (PAL) systems, proposing innovative focal power distribution theories grounded in Petzval sum correction to produce compact, lightweight optical systems capable of capturing a full 360° field of view. His work on panoramic stereo imaging — combining PAL systems with convex mirrors — extends these contributions to practical applications such as robot navigation, road planning, and obstacle avoidance. More recently, his 2024 research on glass-plastic hybrid minimalist aspheric PAL designs reflects a continued drive toward manufacturable, efficient optical solutions. Collectively, Gao's research bridges fundamental optical design with real-world machine perception challenges, making his work particularly relevant to students and researchers in robotics, autonomous systems, and computational imaging.