Peter Willett

Papers

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About

Peter Willett is a leading figure in sensor fusion, maritime surveillance, and autonomous navigation, with a career defined by advancing how intelligent systems perceive and respond to complex environments. His work bridges theoretical signal processing and practical, high-stakes applications. A key contribution is his visionary 2022 paper on next-generation situational awareness for maritime systems, which has garnered 39 citations and outlines how artificial intelligence, multisensor perception, and digitalization are reshaping autonomous shipping and remote vessel control. Willett also made foundational strides in target detection with his 2017 study on maximum likelihood detection for images and focal plane arrays, cited 24 times, which improved matched filter techniques for applications ranging from biomedical imaging to robotics and surveillance. His research consistently addresses the challenge of extracting reliable signals from noisy, real-world data, impacting both defense and civilian technologies. As a prolific scholar and innovator, Willett’s work continues to guide the development of smarter, safer autonomous systems, making him a pivotal voice in the evolution of intelligent sensing.