Content zooming and information exploration for web and mobile maps. Adaptation of real-time map generalisation to the information seeking strategies of web and mobile users

2013 ◽  
Vol 23 (3-4) ◽  
pp. 295-321 ◽  
Author(s):  
Pia Bereuter ◽  
Robert Weibel ◽  
Dirk Burchardt
Keyword(s):  
Real Time ◽  
Information Seeking ◽  
Mobile Users ◽  
Time Map ◽  
Information Exploration ◽  
Mobile Maps

Algorithm on real-time map-matching of multi-weight probability

2013 ◽  
Vol 26 (2) ◽  
pp. 166-170
Author(s):  
Yang Li ◽  
Xiaodong Zhang ◽  
Yuanlv Bao
Keyword(s):  
Real Time ◽  
Map Matching ◽  
Time Map

scholarly journals Complete Coverage Path Planning in an Unknown Underwater Environment Based on D-S Data Fusion Real-Time Map Building

2012 ◽  
Vol 8 (10) ◽  
pp. 567959 ◽  
Author(s):  
Mingzhong Yan ◽  
Daqi Zhu ◽  
Simon X. Yang
Keyword(s):  
Path Planning ◽  
Real Time ◽  
Autonomous Underwater Vehicle ◽  
Evidence Theory ◽  
Sensor Data ◽  
Map Building ◽  
Complete Coverage ◽  
Coverage Path Planning ◽  
Underwater Environment ◽  
Time Map

A real-time map-building system is proposed for an autonomous underwater vehicle (AUV) to build a map of an unknown underwater environment. The system, using the AUV's onboard sensor information, includes a neurodynamics model proposed for complete coverage path planning and an evidence theoretic method proposed for map building. The complete coverage of the environment guarantees that the AUV can acquire adequate environment information. The evidence theory is used to handle the noise and uncertainty of the sensor data. The AUV dynamically plans its path with obstacle avoidance through the landscape of neural activity. Concurrently, real-time sensor data are “fused” into a two-dimensional (2D) occupancy grid map of the environment using evidence inference rule based on the Dempster-Shafer theory. Simulation results show a good quality of map-building capabilities and path-planning behaviors of the AUV.

Research on parallelized real-time map matching algorithm for massive GPS data

2017 ◽  
Vol 20 (2) ◽  
pp. 1123-1134 ◽  
Author(s):  
Hongyu Wang ◽  
Jin Li ◽  
Zhenshan Hou ◽  
Ruochen Fang ◽  
Wenbo Mei ◽  
...  
Keyword(s):  
Real Time ◽  
Gps Data ◽  
Map Matching ◽  
Matching Algorithm ◽  
Time Map

An Algorithm for Icon Labelling on a Real-Time Map

2006 ◽  
pp. 493-507 ◽  
Author(s):  
Lars Harrie ◽  
Hanna Stigmar ◽  
Tommi Koivula ◽  
Lassi Lehto
Keyword(s):  
Real Time ◽  
Time Map

An enhanced weight-based real-time map matching algorithm for complex urban networks

2019 ◽  
Vol 534 ◽  
pp. 122318 ◽  
Author(s):  
Mujun He ◽  
Linjiang Zheng ◽  
Wei Cao ◽  
Jing Huang ◽  
Xu Liu ◽  
...  
Keyword(s):  
Real Time ◽  
Map Matching ◽  
Matching Algorithm ◽  
Urban Networks ◽  
Time Map

The study of a map realization system: consideration of real-time map generation

1989 ◽  
Vol 4 (3) ◽  
pp. 223-242 ◽  
Author(s):  
Shigeo Hirose ◽  
Kazuhiro Yoshida ◽  
Yasumasa Toratani
Keyword(s):  
Real Time ◽  
Time Map ◽  
Map Generation

A real-time map merging strategy for robust collaborative reconstruction of unknown environments

2020 ◽  
Vol 145 ◽  
pp. 113109 ◽  
Author(s):  
Carlos Alberto Velásquez Hernández ◽  
Flavio Augusto Prieto Ortiz
Keyword(s):  
Real Time ◽  
Unknown Environments ◽  
Time Map ◽  
Merging Strategy ◽  
Map Merging

scholarly journals ZONE-Based Multi-Access Edge Computing Scheme for User Device Mobility Management

2019 ◽  
Vol 9 (11) ◽  
pp. 2308 ◽  
Author(s):  
Juyong Lee ◽  
Daeyoub Kim ◽  
Jihoon Lee
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Mobility Management ◽  
Mobile Network ◽  
Edge Computing ◽  
Mobile Users ◽  
Long Distance ◽  
Cloud Server ◽  
Multi Access ◽  
User Device

Recently, new mobile applications and services have appeared thanks to the rapid development of mobile devices and mobile network technology. Cloud computing has played an important role over the past decades, providing powerful computing capabilities and high-capacity storage space to efficiently deliver these mobile services to mobile users. Nevertheless, existing cloud computing delegates computing to a cloud server located at a relatively long distance, resulting in significant delays due to additional time to return processing results from a cloud server. These unnecessary delays are inconvenient for mobile users because they are not suitable for applications that require a real-time service environment. To cope with these problems, a new computing concept called Multi-Access Edge Computing (MEC) has emerged. Instead of sending all requests to the central cloud to handle mobile users’ requests, the MEC brings computing power and storage resources to the edge of the mobile network. It enables the mobile user device to run the real-time applications that are sensitive to latency to meet the strict requirements. However, there is a lack of research on the efficient utilization of computing resources and mobility support when mobile users move in the MEC environment. In this paper, we propose the MEC-based mobility management scheme that arranges MEC server (MECS) as the concept of Zone so that mobile users can continue to receive content and use server resources efficiently even when they move. The results show that the proposed scheme reduce the average service delay compared to the existing MEC scheme. In addition, the proposed scheme outperforms the existing MEC scheme because mobile users can continuously receive services, even when they move frequently.

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