scholarly journals Lane-Level Map-Aiding Approach Based on Non-Lane-Level Digital Map Data in Road Transport Security

2021 ◽  
Vol 13 (17) ◽  
pp. 9724
Author(s):  
Philipp Luz ◽  
Li Zhang ◽  
Jinyue Wang ◽  
Volker Schwieger
Keyword(s):  
Risk Estimation ◽  
Road Transport ◽  
Large Area ◽  
Crucial Point ◽  
Digital Map ◽  
Digital Maps ◽  
Navigation Data ◽  
Terror Attacks ◽  
Vehicle Position ◽  
Map Data

To prevent terror attacks in which trucks are used as weapons as happened in Nice or Berlin in 2016, the European Project Autonomous Emergency Maneuvering and Movement Monitoring for Road Transport Security (TransSec) was launched in 2018. One crucial point of this project is the development of a map-aiding approach for the localization of vehicles on digital maps, so that the information in digital map data can be used to detect prohibited driving maneuvers, such as off-road or wrong-way drivers. For example, a lane-level map-aiding approach is required for wrong-way driver detection. Navigation Data Standard (NDS) is one of the worldwide map standards developed by several automobile manufacturers. So far, there is no lane-level NDS map covers a large area, therefore, it was decided to use the latest available NDS map without lane level accuracy. In this paper, a lane-level map-aiding approach based on a non-lane-level NDS map is presented. Due to the inaccuracy of vehicle position and digital map the map-aiding does not always provide the correct results, so probabilities of off-road and wrong-way diver detection are estimated to support risk estimation. The performance of the developed map-aiding approach is comprehensively evaluated with both real and simulated trajectories.

Navigational Data Change Detection Based on Rasterizing Features & Attributes

2012 ◽  
Vol 256-259 ◽  
pp. 2279-2284
Author(s):  
Lian Ying Li ◽  
Zhang Huang ◽  
Xiao Lan Xu
Keyword(s):  
Change Detection ◽  
Detection Methods ◽  
Vehicle Navigation ◽  
Digital Map ◽  
Navigation Data ◽  
Data Production ◽  
History Of ◽  
Map Data ◽  
Data Updating

A necessary updating degree is vital for the digital map data in a vehicle navigation system. Only when the digital map data are well updated, can the quality of the navigation be assured. Today the companies devoting to the production of digital map data for vehicle navigation have to cost much labor, material and capital to collect and update data in order to maintain a necessary updating degree. Throughout the history of electronic navigation data updating, they have made considerable progress both on the methods and processes of data production, and the way of map management. Updating from the CD to the network, from the wired to the wireless, from the replacing to the incremental way, each of the technical changes is a power source to enhance the data updating rate. As we all know, the change detection is a prerequisite and base for the electronic navigation data updating. By rapidly developing the area with changes and using the appropriate updating method, we can scientifically maintain the original database of navigation data and terminal physical data. In view of this, starting from application needs for dynamic data updating, this paper analyses change detection methods of navigation data in different versions used for generating incremental data, and focuses on that of rasterizing features and attributes, exploring a new approach to quickly get the incremental data between versions.

Leven met water

2019 ◽  
Vol 4 (4) ◽  
pp. 265-268
Author(s):  
MICHEL LASCARIS
Keyword(s):  
The Netherlands ◽  
Cultural Heritage ◽  
Climate Adaptation ◽  
Adaptation Strategies ◽  
Digital Map ◽  
Digital Maps ◽  
Pumping Stations ◽  
New Challenges ◽  
New Research ◽  
Over Time

Living with water. The Dijkenkaart of the Netherlands De Cultural Heritage Agency made an interesting digital map (in GIS) of all the dikes in the Netherlands. This was possible by using existing digital maps, but new research was necessary to make this general overview. There was discussion about the dating of dikes, because dikes can be of medieval origin, but were adjusted over time. Besides dikes, researchers find GIS and historical information on poldermills, kolks, reclamations and pumping stations. That is why this map is called ‘Living with water’, because this information can help addressing new challenges in climate adaptation strategies dealing with water. Everyone can take a look, or download the map in GIS, on www.cultureelerfgoed.nl/onderwerpen/bronnen-en-kaarten/overzicht/levenmet-water-kaart.

The Use of Location-Based Augmented Reality as Information Media in The Digital Map Application of Jakabaring Sport City

2021 ◽  
Vol 9 (2) ◽  
pp. 103-118
Author(s):  
Siska Arifiani ◽  
Miranda Manurung ◽  
Raden Venantius Hari Ginardi
Keyword(s):  
Augmented Reality ◽  
Tourism Industry ◽  
Location Based Service ◽  
Current Version ◽  
Digital Map ◽  
Digital Maps ◽  
Location Data ◽  
Search Feature ◽  
Integrate Technology ◽  
Information Media

Jakabaring Sport City (JSC) is an integrated sports facility complex and a public tourist spot in Palembang. Due to its extensive area and numerous facilities, visitors need a map with distinct markers for the landmark to make it easier when walking around. Recent technology advancements and its expanding role in various fields invites the question on how to integrate technology in the tourism industry. This journal aims to create an android-based digital map application with augmented reality (AR) as a guiding medium that will display directions towards the Jakabaring exit gate. This app is built using Maps SDK for Android to build the digital maps, Navigation SDK for Android to run navigation, and Maps for Unity to display AR objects that will show the directions towards the exit. The development focuses on a location-based service using GPS to track the user's whereabouts and provide real-time location data around the user. This application has a location search feature, a guiding direction (route and navigation) to a designed location, and an AR camera feature to display where the JSC exit gate is located. Every feature is working well and able to help users while visiting JSC. However, this application could still be improved in the AR feature because on its current version, it is only able to display directions to the JSC exit gate when users are within a radius of one kilometer or less to the exit.

scholarly journals An Evaluation Model of Level of Detail Consistency of Geographical Features on Digital Maps

2020 ◽  
Vol 9 (6) ◽  
pp. 410
Author(s):  
Pengcheng Liu ◽  
Jia Xiao
Keyword(s):  
Measurement Method ◽  
Evaluation Model ◽  
Level Of Detail ◽  
Digital Map ◽  
Digital Maps ◽  
Average Value ◽  
Contour Lines ◽  
Geographic Feature ◽  
Bottom Quartile ◽  
Heterogeneous Features

This paper proposes a method to evaluate the level of detail (LoD) of geographic features on digital maps and assess their LoD consistency. First, the contour of the geometry of the geographic feature is sketched and the hierarchy of its graphical units is constructed. Using the quartile measurement method of statistical analysis, outliers of graphical units are eliminated and the average value of the graphical units below the bottom quartile is used as the statistical LoD parameter for a given data sample. By comparing the LoDs of homogeneous and heterogeneous features, we analyze the differences between the nominal scale and actual scale to evaluate the LoD consistency of features on a digital map. The validation of this method is demonstrated by experiments conducted on contour lines at a 1:5K scale and artificial building polygon data at scales of 1:2K and 1:5K. The results show that our proposed method can extract the scale of features on maps and evaluate their LoD consistency.

scholarly journals Practical Constraint K-Segment Principal Curve Algorithms for Generating Railway GPS Digital Map

2013 ◽  
Vol 2013 ◽  
pp. 1-11
Author(s):  
Dewang Chen ◽  
Long Chen
Keyword(s):  
Data Storage ◽  
Expert Knowledge ◽  
Low Cost ◽  
Large Data ◽  
Gps Data ◽  
Small Data ◽  
Data Sets ◽  
Digital Map ◽  
Digital Maps ◽  
Practical Algorithms

In order to obtain a decent trade-off between the low-cost, low-accuracy Global Positioning System (GPS) receivers and the requirements of high-precision digital maps for modern railways, using the concept of constraint K-segment principal curves (CKPCS) and the expert knowledge on railways, we propose three practical CKPCS generation algorithms with reduced computational complexity, and thereafter more suitable for engineering applications. The three algorithms are named ALLopt, MPMopt, and DCopt, in which ALLopt exploits global optimization and MPMopt and DCopt apply local optimization with different initial solutions. We compare the three practical algorithms according to their performance on average projection error, stability, and the fitness for simple and complex simulated trajectories with noise data. It is found that ALLopt only works well for simple curves and small data sets. The other two algorithms can work better for complex curves and large data sets. Moreover, MPMopt runs faster than DCopt, but DCopt can work better for some curves with cross points. The three algorithms are also applied in generating GPS digital maps for two railway GPS data sets measured in Qinghai-Tibet Railway (QTR). Similar results like the ones in synthetic data are obtained. Because the trajectory of a railway is relatively simple and straight, we conclude that MPMopt works best according to the comprehensive considerations on the speed of computation and the quality of generated CKPCS. MPMopt can be used to obtain some key points to represent a large amount of GPS data. Hence, it can greatly reduce the data storage requirements and increase the positioning speed for real-time digital map applications.

scholarly journals Validation of Map Matching Algorithms using High Precision Positioning with GPS

2005 ◽  
Vol 58 (2) ◽  
pp. 257-271 ◽  
Author(s):  
Mohammed A. Quddus ◽  
Robert B. Noland ◽  
Washington Y. Ochieng
Keyword(s):  
High Precision ◽  
Dead Reckoning ◽  
Vehicle Speed ◽  
Map Matching ◽  
Precision Positioning ◽  
Digital Map ◽  
Mm Algorithm ◽  
Essential Components ◽  
Vehicle Trajectory ◽  
Map Data

Map Matching (MM) algorithms are usually employed for a range of transport telematics applications to correctly identify the physical location of a vehicle travelling on a road network. Two essential components for MM algorithms are (1) navigation sensors such as the Global Positioning System (GPS) and dead reckoning (DR), among others, to estimate the position of the vehicle, and (2) a digital base map for spatial referencing of the vehicle location. Previous research by the authors (Quddus et al., 2003; Ochieng et al., 2003) has developed improved MM algorithms that take account of the vehicle speed and the error sources associated with the navigation sensors and the digital map data previously ignored in conventional MM approaches. However, no validation study assessing the performance of MM algorithms has been presented in the literature. This paper describes a generic validation strategy and results for the MM algorithm previously developed in Ochieng et al. (2003). The validation technique is based on a higher accuracy reference (truth) of the vehicle trajectory as determined by high precision positioning achieved by the carrier-phase observable from GPS. The results show that the vehicle positions determined from the MM results are within 6 m of the true positions. The results also demonstrate the importance of the quality of the digital map data to the map matching process.

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