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Architectures for SLAM and augmented reality computing

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Auteur
Bellas N., Antonopoulos C.D., Lalis S., Gkeka M.-R., Patras A., Keramidas G., Stamoulis I., Tavoularis N., Piperakis S., Hourdakis E., Trahanias P., Zikas P., Papagiannakis G., Kartsonaki I.
Date
2021
Language
en
DOI
10.1109/FPL53798.2021.00073
Sujet
Application programs
Embedded systems
Field programmable gate arrays (FPGA)
Mapping
Robotics
Serious games
Virtual reality
Approximate computing
Hardware and software
Hardware technology
Low Power
Low-power consumption
Lower-power consumption
Mobile platform
Performance
Real- time
Simultaneous localization and mapping
Augmented reality
Institute of Electrical and Electronics Engineers Inc.
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Résumé
In the next few years, new demanding applications will be supported on mobile platforms by reconciling two conflicting requirements: high performance (often with real-time limitations) and low power consumption. The objective of the vipGPU project is to develop hardware and software technology to provide efficient support for two such application scenarios, namely (a) simultaneous localization and mapping (SLAM) in mobile robotics systems, and (b) virtual reality (VR) in portable devices to simulate serious games with emphasis on simulating surgical interventions and medical training in general. In this project, we aim at developing a new heterogeneous platform consisting of hardware accelerators for low power embedded systems optimized (at the hardware and software level) for the implementation of the two applications mentioned above. © 2021 IEEE.
URI
http://hdl.handle.net/11615/71513
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