Automatic road extraction from aerial images can be very helpful in traffic control and vehicle guidance systems. Most of the road detection approaches are based on image segmentation algorithms. Color-based segmentation is very sensitive to light changes and consequently the change of weather condition affects the recognition rate of road detection systems. In order to reduce the light change ...

--Current research on target detection and recognition from synthetic aperture radar (SAR) images is usually carried out separately. It is difficult to verify the ability of a target recognition algorithm for adapting to changes in the environment. To realize the whole process of SAR automatic target recognition (ATR), especially for the detection and recognition of vehicles, an algorithm based...

A definition of intelligence is given in terms of performance that can be quantitatively measured. In this study, we have presented a conceptual model of Intelligent Agent System for Automatic Vehicle Checking Agent (VCA). To achieve this goal, we have introduced several kinds of agents that exhibit intelligent features. These are the Management agent, internal agent, External Agent, Watcher ag...

Scheduling of vehicles in the container terminal is often studied as a static problem in the literature, where all information, including the number of jobs, their arrival time, etc., is known beforehand. The objective is generally minimizing the total travelling and/or waiting times of the vehicles. When the situation changes, for example new jobs arrive or a section of the terminal is blocked...

Automatic track guiding of vehicles is of increasing interest for Intelligent Vehicle/ Highway Systems 1{3]. Track guided vehicles are used in automated production facilities, ship docks, and for city busses which drive in special narrow lanes. The primary task of such a system is to follow a path as well as possible. Track guiding systems have been designed for various controller structures 4{...

This paper discusses the path towards asbtractive summarization and proposes a new knowledge-based methodology called KBABS as a step forward on this path. We propose to use both world knowledge, to identify useful content, and task knowledge, to filter out unreliable content, to generate more accurate summaries. This approach was implemented for guided summarization. The evaluation shows that,...

An autonomous robot must be able to sense its environment and react appropriately in a variable environment. The University of Cincinnati Robot team is actively involved in building a small, unmanned, autonomously guided vehicle for the International Ground Robotics Contest organized by Association for Unmanned Vehicle Systems International (AUVSI) each year. The unmanned vehicle is supposed to...

The varied technologies for trajectory control used in todays automatic vehicle navigation and positioning systems reveal several disadvantages. Low frequency (LF) transponders are used as lane in-ground marks for Autonomous Guided Vehicles (AGV). Those in-ground transponders operate with inductive coupling. Measured transponder positions are compared with map based data which contain reference...