Abstract – This paper presents sensor-based intelligent mobile robot navigation in unknown environments. The paper deals with fuzzy control of autonomous mobile robot motion in an unknown environment with obstacles and gives a wireless sensor-based remote control of mobile robots motion in an unknown environment with obstacles using the Sun SPOT technology. Simulation results show the effective...

Wireless Sensor Networks (WSN) is now widely used in precision agriculture applications. Sensors play an important role in WSN. The traditional humidity sensors employed in the agriculture have a drawback that they acquire a large amount of data which is to be transmitted or processed. Whereas the intelligent sensor proposed in this paper uses a conventional sensor and an embedded processor tha...

Knowledge Management for Distributed Tracking is an ongoing research and development program to improve naval command, control, and decision support. The program’s approach includes modeling and simulation, intelligent software agents, integrated-sensor ontology, and reusing methods from past projects. The software simulates a hypothetical scenario designed to demonstrate how knowledgemanagemen...

With advances in sensor technology and availability of low cost integrated circuits, a wireless monitoring sensor network has been considered to be the new generation technology for structural health monitoring. Wireless Intelligent Sensor and Actuator Network (WISAN) has hence been developed as a vibration based structural monitoring network that allows extraction of mode shapes from output-on...

This paper provides information related to integrating Knowledge Based (KB) techniques within the filtering, detection, tracking and target identification portions of an airborne radar’s processing chain. We will present multiple information sources and how they can be used to enhance a radar’s performance for end-to-end signal and data processing. Introduction In our previous paper we presente...

The research on intelligent vehicle mainly includes safety monitoring, intelligent anticollision, aided driving, auto driving, behavior planning decision-making, system structure, and synthetical integration, etc. Sensor and control algorithm are major factors influencing the development of intelligent vehicle. This paper introduces an intelligent vehicle system with chip of FRSSCALE MC9SDG128....

The research approaches utilizing ubiquitous sensors to support human activities have become of major interest lately. Sensor fusion is one of the fundamental issues to develop such intelligent environments. The sensor fusion in previous works is performed in the task-level layer through individual representations of the sensors. Therefore, it does not provide new information by fusing sensors....

Intelligent Home Furnishing is home as a platform, including building, automation, intelligent in an efficient, comfortable, safe, convenient Home Furnishing environment. The Internet of things is through the RFID, infrared sensors, GPS, laser scanners and other information sensing device, as agreed in the agreement, to any item connected to the internet. The paper presents construction of Inte...

Intelligent environments are systems that are aware of the spatial information and activities within them through sensors and interact with people in a natural and unobtrusive way. An intelligent system using networked omnivision array is proposed based on specified requirements of intelligent environments. It utilizes Omni-Directional Vision Sensor (ODVS) network as the sensory input. ODVS opt...

In this paper we present a concept of a flexible and modular architecture for intelligent cruise control (ICC). The architecture can be subdivided into three different processing steps: the object-related analysis of sensor data, the behavior-based scene interpretation and the behavior planning. Each of it works on collected sensor information as well as on a knowledge base, which can be broade...