Low-power, open-path mobile sensing platform for high-resolution measurements of greenhouse gases and air pollutants

2015 ◽  
Vol 119 (1) ◽  
pp. 153-164 ◽  
Author(s):  
Lei Tao ◽  
Kang Sun ◽  
David J. Miller ◽  
Dan Pan ◽  
Levi M. Golston ◽  
...  
Urban Climate ◽  
2021 ◽  
Vol 38 ◽  
pp. 100897
Author(s):  
Hossein Shahbazi ◽  
Ali Mostafazade Abolmaali ◽  
Hossein Alizadeh ◽  
Hooman Salavati ◽  
Hamidreza Zokaei ◽  
...  

2021 ◽  
Vol 20 (3) ◽  
pp. 1-22
Author(s):  
David Langerman ◽  
Alan George

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


Author(s):  
Sheng Zheng ◽  
Yuyuan Fu ◽  
Yu Sun ◽  
Chengjie Zhang ◽  
Yueshe Wang ◽  
...  

2021 ◽  
Vol 293 ◽  
pp. 125991
Author(s):  
Li-Jing Liu ◽  
Lan-Cui Liu ◽  
Qiao-Mei Liang

1994 ◽  
Author(s):  
Hans W. Becker ◽  
Volker Scheuer ◽  
Theo T. Tschudi

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