A Design of Multi-band Wide Spectrum High-definition Remote Detection System

Author(s):  
Mingxi Xue ◽  
Zheng You ◽  
Gaofei Zhang ◽  
Liangchen Ye ◽  
Weiqi Du
Author(s):  
M. L. R. Lagahit ◽  
Y. H. Tseng

Abstract. The concept of Autonomous Vehicles (AV) or self-driving cars has been increasingly popular these past few years. As such, research and development of AVs have also escalated around the world. One of those researches is about High-Definition (HD) maps. HD Maps are basically very detailed maps that provide all the geometric and semantic information on the road, which helps the AV in positioning itself on the lanes as well as mapping objects and markings on the road. This research will focus on the early stages of updating said HD maps. The methodology mainly consists of (1) running YOLOv3, a real-time object detection system, on a photo taken from a stereo camera to detect the object of interest, in this case a traffic cone, (2) applying the theories of stereo-photogrammetry to determine the 3D coordinates of the traffic cone, and (3) executing all of it at the same time on a Python-based platform. Results have shown centimeter-level accuracy in terms of obtained distance and height of the detected traffic cone from the camera setup. In future works, observed coordinates can be uploaded to a database and then connected to an application for real-time data storage/management and interactive visualization.


2021 ◽  
Author(s):  
Faton Krasniqi

<p>Radiological emergencies involving accidental or deliberate dispersion of alpha emitting radionuclides in the environment can cause significant damage to humans and societies in general. A detection system to measure large-scale contamination of these radionuclides is currently not available. In case of a contamination, the only option is to evacuate the population from the affected areas and then run diagnostics by hand due to the short range of alpha particles in air, exposing thus the emergency teams to considerable risk. Even then, the results of emergency field applications are notoriously ambiguous, time consuming and tedious due to the centimetre range of the alpha particles in air. A novel detection approach which is capable of remote detection of alpha-emitting radionuclides in the environment will be reported. This approach will assist the on-site incident management and will enable detection of contamination threats without contact—from safe distances—avoiding thus contamination of operators and equipment.</p>


2017 ◽  
Vol 11 (1) ◽  
pp. 016015 ◽  
Author(s):  
Alem Gebru ◽  
Mikkel Brydegaard ◽  
Erich Rohwer ◽  
Pieter Neethling

Author(s):  
Muhammad Faiz Ramli ◽  
◽  
Syariful Syafiq Shamsudin ◽  
Mohd Fauzi Yaakub ◽  
◽  
...  

Achieving a reliable obstacle detection and avoidance system that can provide an effective safe avoidance path for small unmanned aerial vehicle (UAV) is very challenging due to its physical size and weight constraints. Prior works tend to employ the vision based-sensor as the main detection sensor but resulting to high dependency on texture appearance while not having a distance sensing capabilities. The previous system only focused on the detection of the static frontal obstacle without observing the environment which may have moving obstacles. On the other hand, most of the wide spectrum range sensors are heavy and expensive hence not suitable for small UAV. In this work, integration of different based sensors was proposed for a small UAV in detecting unpredictable obstacle appearance situation. The detection of the obstacle is accomplished by analysing the flow field vectors in the image frames sequence. The proposed system was evaluated by conducting the experiments in a real environment which consisted of different configuration of the obstacles. The results from the experiment show that the success rate for detecting unpredictable obstacle appearance is high which is 70% and above. Even though some of the introduced obstacles are considered to have poor texture appearances on their surface, the proposed obstacle detection system was still able to detect the correct appearance movement of the obstacles by detecting the edges.


2014 ◽  
Vol 543-547 ◽  
pp. 942-945
Author(s):  
Hong Liang Wu ◽  
Zhen He ◽  
Can Liu

In order to facilitate studying real-time mooring force of offshore cage, based on the combination of ZigBee and GPRS technologies, the secondary development was conducted, the detection system of mooring force was designed. It was mainly designed the overall system solution and integrate the system hardware architecture, the development of the software programs of analog-data acquisition, ZigBee networking, remote data transmission and the server were designed. The system test results show that the data could be effectively transmitted between the terminals and server. This system is small in size and low power consuming which can be used as a remote detection tool of mooring force in process when studying on offsore cage aquaculture.


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