scholarly journals Limited-Memory Warping LCSS for Real-Time Low-Power Pattern Recognition in Wireless Nodes

2015 ◽  
pp. 151-167 ◽  
Author(s):  
Daniel Roggen ◽  
Luis Ponce Cuspinera ◽  
Guilherme Pombo ◽  
Falah Ali ◽  
Long-Van Nguyen-Dinh
Keyword(s):  
Pattern Recognition ◽  
Low Power ◽  
Real Time ◽  
Limited Memory ◽  
Wireless Nodes ◽  
Power Pattern

scholarly journals Real-time 2D–3D door detection and state classification on a low-power device

2021 ◽  
Vol 3 (5) ◽  
Author(s):  
João Gaspar Ramôa ◽  
Vasco Lopes ◽  
Luís A. Alexandre ◽  
S. Mogo
Keyword(s):  
Low Power ◽  
Real Time ◽  
Object Classification ◽  
Semantic Segmentation ◽  
Detection Algorithm ◽  
Power Device ◽  
Indoor Environments ◽  
State Classification ◽  
Segmentation Algorithms ◽  
Indoor Spaces

AbstractIn this paper, we propose three methods for door state classification with the goal to improve robot navigation in indoor spaces. These methods were also developed to be used in other areas and applications since they are not limited to door detection as other related works are. Our methods work offline, in low-powered computers as the Jetson Nano, in real-time with the ability to differentiate between open, closed and semi-open doors. We use the 3D object classification, PointNet, real-time semantic segmentation algorithms such as, FastFCN, FC-HarDNet, SegNet and BiSeNet, the object detection algorithm, DetectNet and 2D object classification networks, AlexNet and GoogleNet. We built a 3D and RGB door dataset with images from several indoor environments using a 3D Realsense camera D435. This dataset is freely available online. All methods are analysed taking into account their accuracy and the speed of the algorithm in a low powered computer. We conclude that it is possible to have a door classification algorithm running in real-time on a low-power device.

Real-time, High-resolution Depth Upsampling on Embedded Accelerators

2021 ◽  
Vol 20 (3) ◽  
pp. 1-22
Author(s):  
David Langerman ◽  
Alan George
Keyword(s):  
High Resolution ◽  
Low Power ◽  
Real Time ◽  
Mixed Reality ◽  
Graphics Processing Unit ◽  
Processing Unit ◽  
Reconfigurable Logic ◽  
Depth Sensors ◽  
Time Requirements ◽  
Graphics Processing

High-resolution, low-latency apps in computer vision are ubiquitous in today’s world of mixed-reality devices. These innovations provide a platform that can leverage the improving technology of depth sensors and embedded accelerators to enable higher-resolution, lower-latency processing for 3D scenes using depth-upsampling algorithms. This research demonstrates that filter-based upsampling algorithms are feasible for mixed-reality apps using low-power hardware accelerators. The authors parallelized and evaluated a depth-upsampling algorithm on two different devices: a reconfigurable-logic FPGA embedded within a low-power SoC; and a fixed-logic embedded graphics processing unit. We demonstrate that both accelerators can meet the real-time requirements of 11 ms latency for mixed-reality apps. 1

Real-time occupancy detection with physics-informed pattern-recognition machines based on limited CO2 and temperature sensors

2021 ◽  
pp. 110863
Author(s):  
Styliani I. Kampezidou ◽  
Archana Tikayat Ray ◽  
Scott Duncan ◽  
Michael G. Balchanos ◽  
Dimitri N. Mavris
Keyword(s):  
Pattern Recognition ◽  
Real Time ◽  
Temperature Sensors ◽  
Occupancy Detection

Space-Varying Templates for Real-Time Applications of Cellular Nonlinear Networks to Pattern Recognition in Nuclear Fusion

2013 ◽  
Vol 41 (9) ◽  
pp. 2516-2526
Author(s):  
Simone Palazzo ◽  
Andrea Murari ◽  
Paolo Arena ◽  
Didier Mazon ◽  
Jet-Efda Contributors
Keyword(s):  
Pattern Recognition ◽  
Real Time ◽  
Nuclear Fusion ◽  
Nonlinear Networks ◽  
Real Time Applications

scholarly journals High-Precision Low-Power Wireless Nodes’ Synchronization via Decentralized Control

2016 ◽  
Vol 24 (4) ◽  
pp. 1279-1293 ◽  
Author(s):  
Alberto Leva ◽  
Federico Terraneo ◽  
Luigi Rinaldi ◽  
Alessandro Vittorio Papadopoulos ◽  
Martina Maggio
Keyword(s):  
Low Power ◽  
High Precision ◽  
Decentralized Control ◽  
Wireless Nodes ◽  
Nodes Synchronization
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