For the problem of tracking vehicles on freeways using machine vision, existing systems work well in free-owing traac. Traac engineers, however, are more interested in monitoring freeways when there is congestion, and current systems break down for congested traac due to the problem of partial occlusion. We are developing a feature-based tracking approach for the task of tracking vehicles under...

This paper presents two computer vision algorithms which address complementary aspects of the mobile robot navigation problem. The rst is a beacon system which allows for reliable and accurate robot localization, the second is a novel simple, but highly eeective, algorithm for colour based classiication which is used for reactive control. Two reactive control algorithms are built using the clas...

In this work we present a methodology for intelligent path planning in an uncertain environment using vision like sensors, i.e., sensors that allow the sensing of the environment non-locally. Examples would include a mobile robot exploring an unknown terrain or a micro-UAV navigating in a cluttered urban environment. We show that the problem of path planning in an uncertain environment, under c...

In this work we present a methodology for intelligent path planning in an uncertain environment using vision like sensors, i.e., sensors that allow the sensing of the environment non-locally. Examples would include a mobile robot exploring an unknown terrain or a micro-UAV navigating in a cluttered urban environment. We show that the problem of path planning in an uncertain environment, under c...

The digital factory concept is an integrated approach to enhance the product and production engineering processes and simulation is a key technology in digital factory concepts. Different types of simulation can be applied in virtual models on various planning levels and stages to improve the product and process planning. In an advanced stage simulation can be used in the digital factory concep...

Title of dissertation: SENSOR, MOTION AND TEMPORAL PLANNING Ser-Nam Lim, PhD, 2006 Dissertation directed by: Professor Larry S. Davis Department of Computer Science We describe in this dissertation, planning strategies which enhance the accuracy with which visual surveillance can be conducted and which expand the capabilities of visual surveillance systems. Several classes of planning strategie...

the ministry of health and medical education of iran, along with the country movement towards achievements of iran's vision 2025 put compilation of the health system reform plan on its agenda. in this article, we are trying to show the method we used for developing this plan and how this method considered the general condition of the country along with maintaining the standards of scientific an...

Scene parsing, or recognizing and segmenting objects and stuff in an image, is one of the key problems in computer vision. Despite the community’s efforts in data collection, there are still few image datasets covering a wide range of scenes and object categories with dense and detailed annotations for scene parsing. In this paper, we introduce and analyze the ADE20K dataset, spanning diverse a...

This paper describes a purely visual navigation scheme based on two elementary mechanisms (piloting and guidance) and a graph structure combining individual navigation steps controlled by these mechanisms. In robot experiments in real environments, both mechanisms have been tested, piloting in an open environment and guidance in a maze with restricted movement opportunities. The results indicat...

Posterior parietal cortex (PPC) has been implicated in the integration of visual and proprioceptive information for the planning of action. We previously reported that single-pulse transcranial magnetic stimulation (TMS) over dorsal-lateral PPC perturbs the early stages of spatial processing for memory-guided reaching. However, our data did not distinguish whether TMS disrupted the reach goal o...