Indoor positioning has grasped great attention in recent years. A number of efforts have been exerted to achieve high positioning accuracy. However, there exists no technology that proves its efficacy in various situations. In this paper, we propose a novel positioning method based on fusing trilateration and dead reckoning. We employ Kalman filtering as a position fusion algorithm. Moreover, w...

In this paper, we study the performance of an offloaded AI agent with increasing network latencies and demonstrate that dead reckoning is effective in mitigating the observed degradation. Dead reckoning refers to a class of algorithms typically employed to predict the state of objects in existing games to mitigate the effects of game lag and improve player experience. For a deployed realtime ta...

We introduce a wearable pedestrian indoor localization system with dynamic position correction. The system uniquely combines dead reckoning and fiducial marker-based localization schemes, exclusively using widely available, low end and low power consumer hardware components. The proposed system was tested with various walking patterns inside a building, achieving an indoor positioning accuracy ...

Dead reckoning, a form of navigation used to locate a present position and to return to a starting position, is used by rats to return to their home base. The present experiment examined whether dead reckoning is displayed by rats during their first exploratory excursions in a novel environment and also examined whether the behaviour requires the integrity of the cells of the hippocampus. Exper...

Conventional GRID service is static (no mobility), and it has many drawbacks such as continuous connection, waste of bandwidth, and service overloading. Wireless GRID supports mobility, however it should consider geographic position to support efficient resource sharing and routing. When the devices in the GRID are highly mobile, there will be much traffic to exchange the geographic position in...

A number of positioning identification techniques have been used for mobile robots. Dead reckoning is a popular method, but is not reliable when a robot travels long distances or over an uneven surface because of variations in wheel diameter and wheel slippage. The landmark method, which estimates the current position relative to landmarks, cannot be used in an uncharted environment. We propose...

Our research goal is to realize a robust navigation in indoor and outdoor environment for autonomous vehicle. An omnidirectional vehicle driven by four Mecanum wheels was chosen for our research platform. Mecanum wheel has 16 tilted rollers (45 degrees against the direction of wheel rotation) around the wheel, so the vehicle moves omnidirectionally by controlling these wheels independently. How...