Multi-sensor fusion on mobile platforms
Timothy Craig Havens · Digital Commons - Michigan Tech (Michigan Technological University) · 2017
An important goal for many mobile platforms---terrestrial, aquatic, or airborne---is reliable, accurate, and on-time sensing of the world around them. The PRIME Lab has been investigating multi-sensor fusion for many applications, including explosive hazard detection and infrastructure inspection, from terrestrial vehicles and unmanned aerial vehicles (UAVs). New developments in multi-sensor fusion using radars, imaging sensors, and LIDAR will be discussed that encompass advancements from novel signal processing approaches for mobile ground-penetrating radar to more theoretical approaches for optimal fusion of measurements from multi-modal sensors. This talk will explore the area of sensor-fusion both from a practical, application-focused standpoint and also from a theoretical learning-theory approach to information fusion.