Architectures for SLAM and Augmented Reality Computing
Nikolaos Bellas, Christos D. Antonopoulos, Spyros Lalis, Maria-Rafaela Gkeka, Alexandros Patras, Γεώργιος Κεραμίδας, Iakovos Stamoulis, Nikolaos Tavoularis, Stylianos Piperakis, Emmanouil Hourdakis, Panos Trahanias, Paul Zikas, George Papagiannakis, Ioanna Kartsonaki
- 发表年份
- 2021
- 引用次数
- 1
摘要
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.
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