Papers
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Total Citations
4
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About
Quentin Picard is a researcher at the forefront of real-time 3D scene reconstruction and embedded SLAM (Simultaneous Localization and Mapping) systems. His work focuses on enabling autonomous transport systems—including drones, service robots, and mobile AR/VR devices—to perceive and reconstruct their environments efficiently under strict computational constraints. Picard’s major contribution lies in bridging the gap between advanced 3D reconstruction techniques (such as mesh and voxel-based representations) and the limited resources of embedded platforms, moving beyond traditional point cloud approaches to deliver richer, more usable spatial understanding. His highly cited survey on real-time 3D scene reconstruction with SLAM methods in embedded systems (2023) has already garnered significant attention, reflecting the pressing need for lightweight, accurate perception in robotics and mixed reality. By systematically analyzing the trade-offs between accuracy, speed, and power consumption, Picard provides a critical roadmap for researchers and engineers developing next-generation autonomous systems. His work is essential reading for anyone seeking to deploy robust SLAM on resource-constrained hardware.
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Top Papers
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