A unified 3D space-based navigation model for seamless navigation in indoor and outdoor

Seamless navigation has attracted lots of attention and many methods have been reported in the literature or made available as commercial applications.The process of navigation can be interpreted as a continuous movement of 3D objects from one unoccupied 3D indoor/outdoor space to another.From a technical perspective,a 3D navigation model is one of the critical components that should be available to perform successful navigation.A major approach to build a unified navigation model to support seamless path computation is linking indoor navigation networks to outdoor road/street-based networks.Because of different sources of indoor and outdoor navigation networks,the major approach fails to build up true seamless navigation models.With regards to this,we propose a unified 3D space-based navigation model(U3DSNM).The presented model ensures all types of spaces for navigation(indoor,semi-indoor,semi-outdoor,and outdoor)have the same representation,management methods,and network derivation approach,thereby building up unified navigation networks to support seamless navigation paths planning.The model can be linked to the international standards(data models)that are also based on spaces,such as IndoorGML and the on-going version of CityGML 3.0.Three navigation path planning cases show the feasibility of U3DSNM.

Elucidation of Latent Risk of Navigation Using an Actual Ship Behavior Analysis

In recent years, maritime transportation has played an important role in global economy development. As a result, ship traffic has become more congested. Moreover, ship navigation is susceptible to weather and environmental conditions, and in some cases, it may become dangerous. Therefore, vessels are subjected to high-risk navigation conditions. To understand the latent risk of ship navigation, this study focused on the actual ship behavior. Thus, an analysis of ship behavior was carded out using historical ship navigation based on automatic identification system data. Consequently, a dynamic analysis of the speed and encounter situation was performed. One of the main results of this work was the understanding of the latent risk involved in ships navigating the Seto Inland Sea, which is one of the most congested routes in Japan. Moreover, the risk areas were obtained, and visualized using a geographical information system. The obtained results can be applied to ensure safe navigation and the development of a safe and efficient navigation model.

A Filtering Approach Based on MMAE for a SINS/CNS Integrated Navigation System

This paper explores multiple model adaptive estimation(MMAE) method, and with it, proposes a novel filtering algorithm. The proposed algorithm is an improved Kalman filter— multiple model adaptive estimation unscented Kalman filter(MMAE-UKF) rather than conventional Kalman filter methods,like the extended Kalman filter(EKF) and the unscented Kalman filter(UKF). UKF is used as a subfilter to obtain the system state estimate in the MMAE method. Single model filter has poor adaptability with uncertain or unknown system parameters,which the improved filtering method can overcome. Meanwhile,this algorithm is used for integrated navigation system of strapdown inertial navigation system(SINS) and celestial navigation system(CNS) by a ballistic missile's motion. The simulation results indicate that the proposed filtering algorithm has better navigation precision, can achieve optimal estimation of system state, and can be more flexible at the cost of increased computational burden.

PATH FOLLOWING GPS-BASED CONTROL OF SMALL-SIZE ROBOTIC UNMANNED BLIMP

Robotic unmanned blimps own an enormous potential for applications in low-speed and low-altitude exploration, surveillance, and monitoring, as well as telecommunication relay platforms. To make lighter-than-air platform a robotic blimp with significant levels of autonomy, the decoupled longitude and latitude dynamic model is developed, and the hardware and software of the flight control system are designed and detailed. Flight control and navigation strategy and algorithms for waypoint flight problem are discussed. A result of flight experiment is also presented, which validates that the flight control system is applicable and initial machine intelligence of robotic blimp is achieved.

An Ant Colony Approach for Users Navigation Patterns Mining

In the advance of E-commerce, the importance of predicting the next request of a user as he or she visits Web pages grows larger than before. Web usage mining is the process of applying data mining to the discovery of user behavior patterns based on Web log data, well suited to this problem. As an important field of Web usage mining, mining user navigation patterns is the fundamental approach for generating recommendations. In this paper, we propose an ant colony approach for navigation patterns. We use the ant theory as a metaphor to guide user＇s choice in the Web site.