Autonomous Mobile Surveillance Based on RTK-GPS in Urban Canyons

2005 ◽  
Vol 17 (2) ◽  
pp. 218-225 ◽  
Author(s):  
Jun-ichi Meguro ◽  
◽  
Rui Hirokawa ◽  
Jun-ichi Takiguchi ◽  
Takumi Hashizume ◽  
...  

This paper describes an autonomous mobile surveillance used in plants in high-rise buildings. This consists of a wireless LAN, a base station, and an autonomous vehicle. The vehicle uses GPS/INS navigation using network-based Real-Time Kinematic GPS (RTK-GPS) with Positioning Augmentation Services (PASTM, Mitsubishi Electric Corporation 2003), an Area Laser Radar (ALR), a slave camera, and an Omni-Directional Vision (ODV) sensor for surveillance and reconnaissance. The vehicle switches control modes – normal, road tracking, and crossing recognition – based on vehicle navigation error. A field test shows that the vehicle tracks a planned straight paths within 0.10m accuracy and planned curved paths within 0.25m even without RTK fixed solutions. Field experiments and analysis prove that the proposed navigation provides sufficient navigation and guidance accuracy under poor satellite geometry and visibility, and that the panorama image database with absolute positioning is useful for surveillance.

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1956
Author(s):  
Natalia Wielgocka ◽  
Tomasz Hadas ◽  
Adrian Kaczmarek ◽  
Grzegorz Marut

Global Navigation Satellite Systems (GNSS) have revolutionized land surveying, by determining position coordinates with centimeter-level accuracy in real-time or up to sub-millimeter accuracy in post-processing solutions. Although low-cost single-frequency receivers do not meet the accuracy requirements of many surveying applications, multi-frequency hardware is expected to overcome the major issues. Therefore, this paper is aimed at investigating the performance of a u-blox ZED-F9P receiver, connected to a u-blox ANN-MB-00-00 antenna, during multiple field experiments. Satisfactory signal acquisition was noticed but it resulted as >7 dB Hz weaker than with a geodetic-grade receiver, especially for low-elevation mask signals. In the static mode, the ambiguity fixing rate reaches 80%, and a horizontal accuracy of few centimeters was achieved during an hour-long session. Similar accuracy was achieved with the Precise Point Positioning (PPP) if a session is extended to at least 2.5 h. Real-Time Kinematic (RTK) and Network RTK measurements achieved a horizontal accuracy better than 5 cm and a sub-decimeter vertical accuracy. If a base station constituted by a low-cost receiver is used, the horizontal accuracy degrades by a factor of two and such a setup may lead to an inaccurate height determination under dynamic surveying conditions, e.g., rotating antenna of the mobile receiver.


2020 ◽  
Author(s):  
Ian Maddock ◽  
Josie Lynch

<p>Previous studies have established the ability to map river channel bathymetry accurately in clear water, shallow wadeable streams using imagery from Unmanned Aerial Vehicles (UAVs), Structure-from-Motion (SfM) photogrammetry and the application of refraction correction. However, because standard rotary-winged UAVs geotag imagery at a relatively low accuracy, there has been a need to use Ground Control Points (GCPs) to georeference the Digital Elevation Model (DEM). This is problematic in that is requires the operators to navigate around the site to place, survey and collect the GCPs which can be very time consuming and/or hazardous. A potential solution lies with the recent introduction of lower cost rotary-winged drones fitted with higher accuracy on-board RTK GPS sensors. These have raised the possibility of conducting UAV surveys with the use of very few or no GCPs across the survey site, saving time and removing the need to access all areas for GCP placement.</p><p>To test this possibility, we flew a 250 metre reach of the River Teme (max depth ~1m) on the English-Welsh border at 40m in July 2019 with two drones, i.e. a DJI Phantom 4 RTK UAV and base station and a DJI Phantom 4 PRO (non-rtk). The Phantom 4 RTK UAV was flown three times, i) using the flight program’s 2D option (nadir only and one flight path) ii) using the 3D option (camera angled at 60° and flown in two directions) and iii) using the RTK off option and then using post-processing (PPK) to correct the image locations. 20 GCPs were placed across the site and their locations surveyed with a Trimble R8 dGPS and an additional 20 Independent Validation Points (IVPs) were surveyed along the floodplain for terrestrial validation points and 100 points within the channel were surveyed submerged area validation points.</p><p>Imagery was processed with Agisoft Metashape (v1.5.5). A total of 28 DEMs were produced using the imagery from the two drones, different flight paths and different combinations of numbers and location of GCPs. These included reducing the number of GCPs from 20, to 10, 5, 3, 1 and 0. When using three GCPs, DEMs were produced by having them i) spread throughout the reach and ii) clustered close to one another. The bed heights of the submerged locations were corrected using the simple refraction correction first used by Westaway et al (2001) and then compared to the measured heights in the field. Accuracy was quantified using linear regression.</p><p>The results of this analysis demonstrated the ability to obtain accurate surveys of bathymetry in depths upto 1m using a DJI Phantom 4 RTK UAV and base station and a significantly reduced number of GCPS, combined with the application of refraction correction. This study confirms that considerable time saving in terms of fieldwork can be gained from the use of an RTK rotary-winged drone and base station. This technology can also be beneficial for obtaining accurate survey data in locations where it may be unsafe or impossible to place GCPs due to the hazardous nature of the terrain.</p>


Author(s):  
Krishnanjali. A. Magade ◽  
Abhijit patankar ◽  
M. A. Potey

This suggests new strategies for balancing load in a wireless network connected in star topology. The loads are assigned to each processor using divisible load theory & Different techniques [II], [III], [IV], and [V]. Divisible load theory suggests that a load can be divided arbitrarily such that each fraction of the load can be independently assigned and computed in any processor present in the network. Wireless networks are connected in such a manner that they as assemble a distributed system most of the times, which makes load balancing an important technique to maximize the throughput from the system. A wireless sensor network generally consists of a base station (or Gateway) which communicates with other nodes present in the network. The other nodes are used for Measuring and collecting various environmental and Intelligence related data. The network that we have considered is connected with the central node being the base station and the other nodes are used for calculation of load distributed by the central node. Load balancing involves distribution of all computational and communicational activities over two or more processors, links or any other computational devices present in the network. The main thing behind this is load balancing is to reduce the execution time of the load and to make sure that all the resources present in the system are utilized optimally. The IEEE 802.11 standard does not provide any mechanism to resolve load imbalance. To reduce this deficiency, various load balancing schemes have been designed. These techniques commonly take the approach of directly controlling the user-AP association by deploying Proprietary client software or hardware. Load balancing Features in their device drivers, AP firm wares, and WLAN cards. In these solutions, APs broadcast their load levels to users via modified beacon messages and each user chooses the least-loaded AP.


2005 ◽  
Vol 17 (2) ◽  
pp. 164-172 ◽  
Author(s):  
Tokihiro Fukatsu ◽  
◽  
Masayuki Hirafuji

In order to realize field and environment monitoring over long periods, we propose remote monitoring that responds flexibly and dynamically to change. Field Servers are one of the small monitoring sensor-nodes having a Web server accessed via the Internet and using a wireless LAN to provide a high-speed transmission network differing from traditional sensor-nodes. Monitoring with Field Servers enables easy installation, monitoring field information, and remote operation in any field. By providing a Web server for all modules, we can treat them collectively via the Internet. To evaluate this monitoring, we managed numerous Field Servers in different countries using an agent program. Field experiments show the system is safe and effective for remote monitoring applications.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Xingwang Li ◽  
Lihua Li ◽  
Fupeng Wen ◽  
Junfeng Wang ◽  
Chao Deng

Although the three-dimensional (3D) channel model considering the elevation factor has been used to analyze the performance of multiuser multiple-input multiple-output (MU-MIMO) systems, less attention is paid to the effect of the elevation variation. In this paper, we elaborate the sum rate of MU-MIMO systems with a 3D base station (BS) exploiting different elevations. To illustrate clearly, we consider a high-rise building scenario. Due to the floor height, each floor corresponds to an elevation. Therefore, we can analyze the sum rate performance for each floor and discuss its effect on the performance of the whole building. This work can be seen as the first attempt to analyze the sum rate performance for high-rise buildings in modern city and used as a reference for infrastructure.


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