Abstract-Indoor positioning systems based on Wireless LAN (WLAN) are being widely investigated in academia and industry. Meanwhile, the emerging low-cost MEMS sensors can also be used as another independent positioning source. In this paper, we propose a pedestrian tracking framework based on particle filters, which extends the typical WLAN-based indoor positioning systems by integrating low-cost MEMS accelerometer and map information. Our simulation and real world experiments indicate a remarkable performance improvement by using this fusion framework.
Control of the clutch position is a crucial point for automating manual transmissions. Here, an electrohydraulic clutch position control system is considered. Based on the flatness approach, a nonlinear feedforward control is designed, which is combined with a linear feedback control and implemented on a standard transmission control unit. Experiments with a Mercedes-Benz Sprinter and a Mercedes-Benz CLK prove that this new control system is significantly superior to conventional control concepts, and provides an accurate trajectory tracking of the clutch position.
In this paper the integration of an excessive share of distributed generation into a T&D system in the southern part of Germany has been examined. Various solutions like conventional network extension, energy storage, load management and controllable smart grid components are compared in terms of number of assets and investment costs.
Abstract. Location-aware systems are receiving more and more interest in both academia and industry due to their promising prospective in a broad category of so-called Location-Based-Services (LBS). The map interface plays a crucial role in the location-aware systems, especially for indoor scenarios. This paper addresses the usage of map information in a Wireless LAN (WLAN)-based indoor navigation system. We describe the benefit of using map information in multiple algorithms of the system, including radio-map generation, tracking, semantic positioning and navigation. Then we discuss how to represent or model the indoor map to fulfill the requirements of intelligent algorithms. We believe that a vector-based multi-layer representation is the best choice for indoor location-aware system.
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