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Ben Weiss, Customer Solutions Engineer in the CSG Group at CEVA, presents the "Deploying Visual SLAM in Low-power Devices" tutorial at the May 2019 Embedded Vision Summit.
Simultaneous localization and mapping (SLAM) technology has been evolving for quite some time, including visual SLAM, which relies primarily on image data. But implementing fast, accurate visual SLAM in embedded devices has been challenging due to high compute and precision requirements. Recent improvements in embedded processors enable deployment of visual SLAM in low-cost, low-power, mass-market systems, but implementing SLAM on such platforms can be challenging.
In this talk, Weiss explores the current state of visual SLAM algorithms and shows how CEVA processors and software enable easy migration of SLAM algorithms from research to cost- and power-optimized production systems.