Analysis of GPS Technology in Surveying and Mapping Engineering Technology

With the rapid advancement of digital and information technology,global positioning system(GPS)technology has seen increasing utilization in surveying and mapping engineering,extending its application across land,ocean,and various other domains.By analyzing the technical means of GPS in surveying and mapping engineering,understanding the characteristics and key technologies in different application environments,and exploring the application process and key technical means,accurate control can be effectively realized.Based on this,this paper mainly analyzes the specific application of GPS technology in surveying and mapping engineering technology for reference.

From Digitalized to Intelligentized Surveying and Mapping: Fundamental Issues and Research Agenda

Nowadays Surveying and Mapping(S&M)production and services are facing some serious challenges such as real-timization of data acquisition,automation of information processing,and intellectualization of service applications.The main reason is that current digitalized S&M technologies,which involve complex algorithms and models as the core,are incapable of completely describing and representing the diverse,multi-dimensional and dynamic real world,as well as addressing high-dimensional and nonlinear spatial problems using simple algorithms and models.In order to address these challenges,it is necessary to explore the use of natural intelligence in S&M,and to develop intelligentized S&M technologies,which are knowledge-guided and algorithm-based.This paper first discusses the basic concepts and ideas of intelligentized S&M,and then analyzes and defines its fundamental issues in the analysis and modeling of natural intelligence in S&M,the construction and realization of hybrid intelligent computing paradigm,and the mechanism and path of empowering production.Further research directions are then proposed in the four areas,including knowledge systems,technologies and methodologies,application systems,and instruments and equipments of intelligentized S&M.Finally,some institutional issues related to promoting scientific research and engineering applications in this area are discussed.

RESEARCH AND APPLICATION OF REMOTE SENSING IN THE FIELDS OF SURVEYING AND MAPPING

The technique of aerial photography has been used in the surveying and Mapping for more than fifty years. Along with the development of space technolongy, the satellite images are more and more widely applied to solve the survey problems. Recent years, the surveying and mapping community has conducted more deeply investigation into the remote sensing and carried out extensive applications.

The Comparison of Several 3D Digital Techniques Applied in Rockery Surveying and Mapping:A Case Study of North China University of Technology

By summarizing research status of traditional garden,the obstacles and difficulties of garden rockery research are analyzed,and the breakthroughs and advantages of 3D digital technique in garden rockery surveying and mapping are introduced.The rockery in North China University of Technology is taken as the research object.Using many kinds of digital 3D techniques,3D scanning and modeling analysis of the rockery are conducted.Modeling result and accuracy of each technique are analyzed,and application prospect of 3D digital technique in rockery research of classical garden is explored.

Design and Realization of MapSUV Rural Land Surveying Palm Mapping System

The original surveying tools and methods are backward and low efficient and they will also generate lots of errors in the National secondary land surveying. MapSUV rural land surveying palm mapping system (MapSUV palm mapping system) based on 3S techniques, combines MapGIS rural land surveying database management system. It supports the spatial location information collection and attributes data entry. By combining with GPS receiver, it ensures high accuracy in small volume, which greatly facilitates land surveying. This paper main researched system structure, function module design and key techniques. It introduced the practical process of map spot attribute checking and map spot boundary. Then it gave the application assessment. The results shows that this system greatly improves the work efficiency of outdoor surveying and shorten the time of land surveying, database build and updating.

CONGRATULATIONS ON THE JOURNAL CHANGED THE NAME OF《SURVEYING AND MAPPING》AS《ENGINEERING OF SURVEYING AND MAPPING》

The journal has been changed the name of《Surveytng And Mapping》,as《Engineering of Sur-veying And Mapping》from this issue.The jounal is a quarterly publication for surveying and map-ping science and technology sponsored by Harbin Institute of Engineering(former Harbin Instituteof Surveyting and Mapping).The purpose of the journal is to present national and international newtheoris,techniques and methods,to exchange achievements and experience about the scientific re-search,teaching,technique reform and production management,to report national and internation-al development,seminar and technique lessons,and introduce famous scholars and books in survey-ing and mapping circles.The journal has enjoyed the support and favorable comment of nationalreaders of surveying and mapping circles.

Application of Three-dimensional Laser Scanning Technology in the Teaching Practice of Surveying and Mapping of Ancient Buildings

Based on the study of the application of three-dimensional laser scanning technology in ancient building surveying and mapping,this paper briefly describes the working principle and flow of three-dimensional laser scanning technology.Based on the practical application,this paper puts forward the discussion of related problems and matters needing attention.This has a certain reference significance for the study of new technology in surveying and mapping of ancient buildings.

Exploration on the Teaching Method for Surveying and Mapping Practice in Ancient Architecture

Since the introduction of the architecture course,the practice of surveying and mapping of ancient architecture has always been an important compulsory course in the professional course of architecture in colleges and universities in China. Against the background of the new era,the teaching methods used so far can no longer fully meet the needs of the development of the times and the construction of " Double FirstClass" initiative. This paper explores deeply from the aspects of organizational planning,technical support and achievement transformation,in order to enrich the teaching methods for ancient architecture surveying and mapping practice course in architecture major,and finally improve the teaching level and improve the teaching effect.

Preparation of specialists in mining surveying work in Mongolia and direction of its change in new economic situation

Due to the rapid growth of the mining sector of Mongolia, the need for preparing mining surveying specialists is increasing significantly. The history of preparing highly educated mining surveying specialists and putting their education into practice in our country is an interesting one. The main center to prepare mining surveying specialists is the School of Mining Engineering of the Mongolian State University of Science and Technology. This paper introduces the work that is being done today to prepare mining surveying specialists in Mongolia and its future purposes.

Development of Large-Scale Land Information System (LIS) by Using Geographic Information System (GIS) and Field Surveying

Cadastral maps are an important component of land administration in most countries. In virtually all developed countries, the needs of computerized land and geographic information systems (LIS/GIS) has given urgent impetus to computerizing cadastral maps and creating digital cadastral data bases (DCDB). This process is creating many institutional, legal, technical and administrative problems. This desire to establish DCDBs is being given increased impetus due to a new range of enabling technologies such as satellite position fixing (GPS), improved spatial data collection techniques such as digital theodolites and “soft copy” photogrammetry, as well as a vast range of new information and communications technological tools, thus contributing to the advancement and keeping up with the great countries. This paper presents the problem of cadastral maps. The hitherto existing cadastre, consisting of paper maps and land registers, is now becoming insufficient. Its shortcomings force developments leading to its improvement. One of the ways is the creation of a Land Information System. A digital cadastral map is the main component of this system. The structure and information content of the map is presented, its differences from analogue maps are shown, and the process of map creation is described. A digital cadastral map can be the basis for additional thematic layers, successively converting it into a complex system for management of administrative units.

Comparison of the Damaged Area Caused by an Agricultural Dam-Break Flood Wave Using HEC-RAS and UAV Surveying

This study examines the usability of unmanned aerial vehicle (UAV) data surveyed just after an agricultural reservoir collapse by comparing the survey results with the simulation results of the HEC-RAS (Hydrologic Engineering Centers River Analysis System) flood wave propagation to the downstream areas. A 61,400 m3 storage dam broken by 89.0 mm (over 30.0 mm/hr rainfall intensity) of rainfall on August 21st, 2014 was considered. The reservoir water capacity curve and downstream damaged areas were estimated by drone surveying 3 days after the dam break. The flood wave by the overtopped dam break was propagated using the HEC-HMS (Hydrologic Engineering Centers Hydrological Modeling System) reservoir inflow from the watershed. The model results showed flood inundation depths of 0.1 to 2.2 m, mainly in rice paddy areas along the stream, and the overtopped dam-break scenario exhibited 59% correspondence with the drone-surveyed areas.

Automated machine learning for rainfall-induced landslide hazard mapping in Luhe County of Guangdong Province,China

Landslide hazard mapping is essential for regional landslide hazard management.The main objective of this study is to construct a rainfall-induced landslide hazard map of Luhe County,China based on an automated machine learning framework(AutoGluon).A total of 2241 landslides were identified from satellite images before and after the rainfall event,and 10 impact factors including elevation,slope,aspect,normalized difference vegetation index(NDVI),topographic wetness index(TWI),lithology,land cover,distance to roads,distance to rivers,and rainfall were selected as indicators.The WeightedEnsemble model,which is an ensemble of 13 basic machine learning models weighted together,was used to output the landslide hazard assessment results.The results indicate that landslides mainly occurred in the central part of the study area,especially in Hetian and Shanghu.Totally 102.44 s were spent to train all the models,and the ensemble model WeightedEnsemble has an Area Under the Curve(AUC)value of92.36%in the test set.In addition,14.95%of the study area was determined to be at very high hazard,with a landslide density of 12.02 per square kilometer.This study serves as a significant reference for the prevention and mitigation of geological hazards and land use planning in Luhe County.

融合改进D*与Gmapping算法的自主导航仿真研究

为了实现移动机器人在未知环境下能够同时进行自主建图与导航,首先通过引入障碍物距离影响系数和四点式的梯度下降法优化了D*算法在动态路径规划时出现效率低下和路径不平滑问题。其次通过梯度式增加粒子数和扫描匹配迭代次数,改善了Gmapping建图容易出现模糊和重叠的现象。接着将优化后的Gmapping算法和基于改进D*算法的全局规划器、基于Teb算法的局部规划器,放在同一tf树下,并加入延时决策设计,融合集成了一个在ROS平台下的自主导航模块。最后仿真结果验证了上述方法实现自主建图与导航的可行性,能够在同时建图与导航的基础上,保证建图的准确性与路径的最佳选取。

Map Aided Pedestrian Dead Reckoning Using Buildings Information for Indoor Navigation Applications

Navigation systems play an important role in many vital disciplines. Determining the location of a user relative to its physical environment is an important part of many indoor-based navigation services such as user navigation, enhanced 911 (E911), law enforcement, location-based and marketing services. Indoor navigation applications require a reliable, trustful and continuous navigation solution that overcomes the challenge of Global Navigation Satellite System (GNSS) signal unavailability. To compensate for this issue, other navigation systems such as Inertial Navigation System (INS) are introduced, however, over time there is a significant amount of drift especially in common with low-cost commercial sensors. In this paper, a map aided navigation solution is developed. This research develops an aiding system that utilizes geospatial data to assist the navigation solution by providing virtual boundaries for the navigation trajectories and limits its possibilities only when it is logical to locate the user on a map. The algorithm develops a Pedestrian Dead Reckoning (PDR) based on smart-phone accelerometer and magnetometer sensors to provide the navigation solution. Geospatial model for two indoor environments with a developed map matching algorithm was used to match and project navigation position estimates on the geospatial map. The developed algorithms were field tested in indoor environments and yielded accurate matching results as well as a significant enhancement to positional accuracy. The achieved results demonstrate that the contribution of the developed map aided system enhances the reliability, usability, and accuracy of navigation trajectories in indoor environments.

Review of Simultaneous Localization and Mapping Technology in the Agricultural Environment

Simultaneous localization and mapping(SLAM)is one of the most attractive research hotspots in the field of robotics,and it is also a prerequisite for the autonomous navigation of robots.It can significantly improve the autonomous navigation ability of mobile robots and their adaptability to different application environments and contribute to the realization of real-time obstacle avoidance and dynamic path planning.Moreover,the application of SLAM technology has expanded from industrial production,intelligent transportation,special operations and other fields to agricultural environments,such as autonomous navigation,independent weeding,three-dimen-sional(3D)mapping,and independent harvesting.This paper mainly introduces the principle,sys-tem framework,latest development and application of SLAM technology,especially in agricultural environments.Firstly,the system framework and theory of the SLAM algorithm are introduced,and the SLAM algorithm is described in detail according to different sensor types.Then,the devel-opment and application of SLAM in the agricultural environment are summarized from two aspects:environment map construction,and localization and navigation of agricultural robots.Finally,the challenges and future research directions of SLAM in the agricultural environment are discussed.

Progress and Achievements of Multi-sensor Fusion Navigation in China during 2019—2023

Global Navigation Satellite System(GNSS)can provide all-weather,all-time,high-precision positioning,navigation and timing services,which plays an important role in national security,national economy,public life and other aspects.However,in environments with limited satellite signals such as urban canyons,tunnels,and indoor spaces,it is difficult to provide accurate and reliable positioning services only by satellite navigation.Multi-source sensor integrated navigation can effectively overcome the limitations of single-sensor navigation through the fusion of different types of sensor data such as Inertial Measurement Unit(IMU),vision sensor,and LiDAR,and provide more accurate,stable and robust navigation information in complex environments.We summarizes the research status of multi-source sensor integrated navigation technology,and focuses on the representative innovations and applications of integrated navigation and positioning technology by major domestic scientific research institutions in China during 2019—2023.

Navigation Map Data Representation and Parallel Display Algorithm in an Embedded Environment

地图数据显示是在嵌入的即时航行下面的基本信息表示模式。在有几种尺寸和相应数学描述公式的航行显示器数据集(NDIS_SET ) 被设计以后，一系列规则和算法被推进优化嵌入的航行数据并且支持数据索引和输入效率。在一个正常航行数据显示算法说出 NDIS，相关问题被分析以后，有数据说出 N_PDIS 的航行的一个新平行显示器算法然后被介绍适应计算和存储器的有限嵌入的资源。N_PDIS 能同时地由二个平行线程创造二张准备位图并且交换他们之一自动地屏蔽。与 NDIS 相比，结果证明 N_PDIS 在改进显示效率是更有效的。

The bibliometrics survey of ecological economic research:A knowledge mapping analysis based on the SCI and SSCI database

Based on bibliometrics and knowledge mapping analysis method,this paper uses CiteSpace,a visual literature analysis tool,to analyze 3794 related documents with the theme of“economic economy”in SCI and SSCI databases from 2010 to 2020,including authors,institutions,subject headings and literature co-citation,so as to reveal the development and hot spots of ecological economic research.The results show that in recent years,the number of documents on ecological economic research has been increasing,and developed countries are dominant.China’s research in this field has developed rapidly and has certain advantages in terms of quantity and quality.The institution with the largest number of papers is Chinese Academy Science,followed by Beijing Normal University,University of Chinese Academy of Sciences,Peking University and Universitat autonomy de Barcelona;research hotspots in recent 10 years include“sustainability”,“management”,“climate change”,“impact”,“economy”,“china”,“conservation”,“ecosystem service”,etc.The top three journals are Sustainability,Journal of Cleaner Production,and Ecological Economics,accounting for about 10%of the total number of papers published.The hot spots of ecological economic research in 2010-2020 can be divided into three stages,with different theme words emerging in each stage.From 2018 to 2020,the theme word of high-strength emergence is“anthropocene”,which indicates that“anthropocene”may be the focus of future research.

A Map-Matching Algorithm forGPS/DR Integrated Navigation Systems Basedon Dempster-Shafer Evidence Reasoning

GPS (Global Positioning System) has been widely used in car navigation systems. Most car navigation systems estimate the car position from GPS and DR (dead reckoning). However, the unknown GPS noise characteristic and the unbounded DR accumulation of errors over time make the position information with undesirable position errors. The map matching can improve the position accuracy and availability of the vehicular position system. In this paper, general principle of map matching is investigated according to segmentation and feature extraction, and a map matching algorithm based on D-S (Dempster-Shafer) evidence reasoning for GPS integrated navigation system is proposed, which can find the exact road on which a car moves. For the experiments, a car navigation system is developed with some sensors and the field test demonstrates the effectiveness and applicability of the algorithm for the car location and navigation.

Correction of Inertial Navigation System’s Errors by the Help of Video-Based Navigator Based on Digital Terrarium Map

This paper deals with the error analysis of a novel navigation algorithm that uses as input the sequence of images acquired from a moving camera and a Digital Terrain (or Elevation) Map (DTM/DEM). More specifically, it has been shown that the optical flow derived from two consecutive camera frames can be used in combination with a DTM to estimate the position, orientation and ego-motion parameters of the moving camera. As opposed to previous works, the proposed approach does not require an intermediate explicit reconstruction of the 3D world. In the present work the sensitivity of the algorithm outlined above is studied. The main sources for errors are identified to be the optical-flow evaluation and computation, the quality of the information about the terrain, the structure of the observed terrain and the trajectory of the camera. By assuming appropriate characterization of these error sources, a closed form expression for the uncertainty of the pose and motion of the camera is first developed and then the influence of these factors is confirmed using extensive numerical simulations. The main conclusion of this paper is to establish that the proposed navigation algorithm generates accurate estimates for reasonable scenarios and error sources, and thus can be effectively used as part of a navigation system of autonomous vehicles.