Navigation

Networked Signal Processing for Large-Scale Satellite Navigation

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B2 R5220

This dissertation develops a networked signal processing framework for large-scale satellite navigation, in which receivers or satellites act as graph-connected agents that process local observations and exchange compact messages with neighboring nodes.

Towards Robust and Accurate Navigation: Theory, Applications, and Future Directions

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KAUST

Navigation is an essential requirement for many applications (commercial, retail, military, scientific, ...etc) and in a variety of environments (in-doors, outdoors, space, underwater, and even underground). In this talk, I will overview some of my group's work in localization and navigation focusing on indoor and satellite positioning. The talk will demonstrate how the structure or constraints of the problem can help achieve very accurate localization (e.g. millimeter level indoors) that is robust to Doppler, multipath, and shadowing. The talk will also touch upon various related applications that the group is pursuing in smart health and smart cities. The talk will end with future directions for localization in extreme environments and in the TeraHertz spectrum where localization, environment sensing, and communication converge.

Autonomous platform systems for underwater exploration: Light for the sea, adventures for the robots!

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B18 Fellowship Hall

Featured Sessions
Abstract Autonomous marine platforms such as Autonomous Underwater Vehicles (AUVs) and Autonomous Surface Vehicles (ASVs) have a large potential to realize much more efficient ocean observation compared with ship based methodology. Our group pursue the possibility of such autonomous systems by means of the latest robotics, information processing technologies, artificial intelligence, and sensing technologies. These systems will realize wide-area, high-accuracy, and long-term observation through collaboration of multiple autonomous agents such as AUVs. In this talk, some of our latest