scholarly journals DEVELOPING THE CONSTELLATION UNMANNED SURFACE VEHICLE PROTOTYPE

2019 ◽  
Author(s):  
R G Shaw
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Unique Solution ◽  
Water Safety ◽  
Unmanned Surface Vehicle ◽  
Safety Devices ◽  
Seabed Mapping ◽  
High Resolution Images ◽  
Echo Sounder

Vessel navigation through the use of reliable nautical charts is vital to ensure safe passage. Having the ability to complement this with the ability to see accurately both what lies beneath the water and ahead of a vessel in real time provides an added dimension of safety and certainty. Combining the high value and deep draft of modern super and mega yachts with a penchant for exploration creates a tension which can test the availability and accuracy of navigation charts. The development of a 2 metre remote-operated and autonomous-capable surface vehicle with ultra-high-resolution echo-sounder capability provides a unique solution which can open up considerable exploration capability. The ability to produce ultra-high-resolution images and relay these back to the mother vessel in real time enables precise seabed mapping, providing safer navigation. Additionally, it has the capability to deploy personal water-safety devices in situations such as a man-overboard incident.

Electrical Probing and Surface Imaging of Deep Sub-Micron Integrated Circuits

1999 ◽  
Author(s):  
Kenneth Krieg ◽  
Richard Qi ◽  
Douglas Thomson ◽  
Greg Bridges
Keyword(s):  
High Resolution ◽  
Integrated Circuits ◽  
Real Time ◽  
High Speed ◽  
Time Signal ◽  
Surface Imaging ◽  
Atomic Force ◽  
Submicron Structures ◽  
High Resolution Images ◽  
Capacitive Loading

Abstract A contact probing system for surface imaging and real-time signal measurement of deep sub-micron integrated circuits is discussed. The probe fits on a standard probe-station and utilizes a conductive atomic force microscope tip to rapidly measure the surface topography and acquire real-time highfrequency signals from features as small as 0.18 micron. The micromachined probe structure minimizes parasitic coupling and the probe achieves a bandwidth greater than 3 GHz, with a capacitive loading of less than 120 fF. High-resolution images of submicron structures and waveforms acquired from high-speed devices are presented.

Real-time, parallel segmentation of high-resolution images on multi-core platforms

2014 ◽  
Vol 13 (4) ◽  
pp. 685-702 ◽  
Author(s):  
Dana Forsthoefel Fitzgerald ◽  
D. Scott Wills ◽  
Linda M. Wills
Keyword(s):  
High Resolution ◽  
Real Time ◽  
High Resolution Images

scholarly journals Real-Time Moving Object Detection in High-Resolution Video Sensing

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3591 ◽  
Author(s):  
Haidi Zhu ◽  
Haoran Wei ◽  
Baoqing Li ◽  
Xiaobing Yuan ◽  
Nasser Kehtarnavaz
Keyword(s):  
High Resolution ◽  
Object Detection ◽  
Real Time ◽  
Moving Object Detection ◽  
Moving Object ◽  
Computationally Efficient ◽  
Real Time Processing ◽  
Time Processing ◽  
Video Frames ◽  
High Resolution Images

This paper addresses real-time moving object detection with high accuracy in high-resolution video frames. A previously developed framework for moving object detection is modified to enable real-time processing of high-resolution images. First, a computationally efficient method is employed, which detects moving regions on a resized image while maintaining moving regions on the original image with mapping coordinates. Second, a light backbone deep neural network in place of a more complex one is utilized. Third, the focal loss function is employed to alleviate the imbalance between positive and negative samples. The results of the extensive experimentations conducted indicate that the modified framework developed in this paper achieves a processing rate of 21 frames per second with 86.15% accuracy on the dataset SimitMovingDataset, which contains high-resolution images of the size 1920 × 1080.

scholarly journals ICNet for Real-Time Semantic Segmentation on High-Resolution Images

2018 ◽  
pp. 418-434 ◽  
Author(s):  
Hengshuang Zhao ◽  
Xiaojuan Qi ◽  
Xiaoyong Shen ◽  
Jianping Shi ◽  
Jiaya Jia
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Semantic Segmentation ◽  
High Resolution Images
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