scholarly journals Fractal Markers: A New Approach for Long-Range Marker Pose Estimation Under Occlusion

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 169908-169919 ◽  
Author(s):  
Francisco J. Romero-Ramire ◽  
Rafael Munoz-Salinas ◽  
R. Medina-Carnicer
Keyword(s):  
Long Range ◽  
Pose Estimation ◽  
New Approach

Experimental Verification of a New Approach to Long-Range EM Imaging

2018 ◽  
Author(s):  
Howard K. Schmidt ◽  
Jesus Manuel Felix Servin ◽  
Erika Shoemaker Ellis
Keyword(s):  
Long Range ◽  
Experimental Verification ◽  
New Approach

scholarly journals Long-Range Pose Estimation for Aerial Refueling Approaches Using Deep Neural Networks

2020 ◽  
Vol 17 (11) ◽  
pp. 634-646
Author(s):  
Andrew Lee ◽  
Will Dallmann ◽  
Scott Nykl ◽  
Clark Taylor ◽  
Brett Borghetti
Keyword(s):  
Neural Networks ◽  
Long Range ◽  
Pose Estimation ◽  
Deep Neural Networks ◽  
Aerial Refueling

scholarly journals Liquid crystal phase of counter-rotating staircases – A case of antiferrochirality

2021 ◽  
Author(s):  
Ya-xin Li ◽  
Hong-fei Gao ◽  
Rui-bin Zhang ◽  
Kutlwano Gabana ◽  
Qing Chang ◽  
...  
Keyword(s):  
Liquid Crystal ◽  
Long Range ◽  
Short Range ◽  
Liquid Crystal Phase ◽  
Helical Structures ◽  
New Approach ◽  
Chiroptical Properties ◽  
Pi Conjugated ◽  
Left Handed ◽  
Straight Rod

Abstract Helical structures continue to inspire, and there is considerable temptation to attribute helicity to columnar liquid crystals (LC). While short isohelical sequences are undoubtedly present, and longer ones in chiral or chiral-doped compounds, the order is only short-range, equivalent to a paramagnet without or with field. However, here we report a confirmed example of a true LC phase of achiral compounds consisting of columns, each being a long-range homochiral helix. Long-range periodicity and isochirality are maintained by intercolumnar interaction. This orthorhombic LC, spacegroup Fddd, is discovered in compounds with either bent or straight rod-like pi-conjugated cores. There are 4 right and 4 left-handed ribbons or star-profiled columns per unit cell. The structure is equivalent to an antiferromagnet with twist replacing spins. A theory based on interacting quadrupoles confirms this structure as energetically favoured over alternatives. The findings open a new approach to homochirality in achiral compounds, with promising optical/chiroptical properties.

scholarly journals Detecting Long Range Objects Under Radar System using Arduino

2020 ◽  
Vol 9 (4) ◽  
pp. 1504-1507
Keyword(s):  
Long Range ◽  
Radar System ◽  
Ultrasonic Sensor ◽  
Sound Waves ◽  
Servo Motor ◽  
New Approach ◽  
Ultrasonic Sound ◽  
Detection Of Objects

The increase in demand for security purpose and detection of objects using the radar system has very much popular in many occasions. A new approach of finding objects under radar using Arduino controller makes it more efficient for Detection and Ranging. The Ultrasonic sensor mounted on the servo Motor produce ultrasonic sound waves ,if an object bounce off in their path it interrupts the sound waves which produce a signal to the user by displaying on computer , laptops or on any screen . This project aims at making an efficient, cheaper and more reliable way that reflects all the possible techniques that a radar consists of

scholarly journals PoseGTAC: Graph Transformer Encoder-Decoder with Atrous Convolution for 3D Human Pose Estimation

2021 ◽  
Author(s):  
Yiran Zhu ◽  
Xing Xu ◽  
Fumin Shen ◽  
Yanli Ji ◽  
Lianli Gao ◽  
...  
Keyword(s):  
Long Range ◽  
Pose Estimation ◽  
Contextual Information ◽  
Receptive Fields ◽  
Human Pose Estimation ◽  
Multi Scale ◽  
Single Scale ◽  
Human Pose ◽  
Graph Neural Networks ◽  
3D Human Pose Estimation

Graph neural networks (GNNs) have been widely used in the 3D human pose estimation task, since the pose representation of a human body can be naturally modeled by the graph structure. Generally, most of the existing GNN-based models utilize the restricted receptive fields of filters and single-scale information, while neglecting the valuable multi-scale contextual information. To tackle this issue, we propose a novel Graph Transformer Encoder-Decoder with Atrous Convolution, named PoseGTAC, to effectively extract multi-scale context and long-range information. In our proposed PoseGTAC model, Graph Atrous Convolution (GAC) and Graph Transformer Layer (GTL), respectively for the extraction of local multi-scale and global long-range information, are combined and stacked in an encoder-decoder structure, where graph pooling and unpooling are adopted for the interaction of multi-scale information from local to global (e.g., part-scale and body-scale). Extensive experiments on the Human3.6M and MPI-INF-3DHP datasets demonstrate that the proposed PoseGTAC model exceeds all previous methods and achieves state-of-the-art performance.

scholarly journals A new Approach of V2X Communications for Long Range Applications in UAVs

2018 ◽  
Author(s):  
J.A. Godoy ◽  
F. Cabrera ◽  
V. Arana ◽  
D. Sanchez ◽  
I. Alonso ◽  
...  
Keyword(s):  
Long Range ◽  
New Approach
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