Traffic conditions in infrastructure-less environment are in many ways not ideal for driving. This is due to undefined road curvature, faded and unmaintained lane markings and various obstacles situations cause vital life loses and damage of vehicles in accidents. This paper provides an efficient approach of finding various roadways obstacles situation using our depth learning approach based on...

objectives: following the rise in the elderly population worldwide and the increase in chronic diseases among this demographic with their consequent need for care, the subject of elderly care is becoming increasingly important. considering the traditional standing of the elderly in iranian society and the importance of in-community care for them, it seems of crucial importance to study the obst...

BACKGROUND The need to translate research into policy, i.e. making research findings a driving force in agenda-setting and policy change, is increasingly acknowledged. However, little is known about translation mechanisms in the field of sexual and reproductive health (SRH) outside North American or European contexts. This paper seeks to give an overview of the existing knowledge on this topic ...

Software engineering education and training has obstacles caused by a lack of basic knowledge about a process of program execution. The article is devoted to the development of special tools that help to visualize the process. We analyze existing tools and propose a new approach to stack and heap visualization. The solution is able to overcome major drawbacks of existing tools and suites well f...

Direction-of-arrival (DOA) estimation algorithms deliver very precise results based on good and extensive antenna array calibration. The better the array manifold including all disturbances is known, the better the DOA estimation result. A simplification or ideally an omission of the calibration procedure has been a long pursued goal in the history of array signal processing. This paper investi...

Obstacle avoidance is a key technology of multiagents flocking control. However, most existing research studies assume that the agent can obtain global information about obstacles and have specific constraints on shape boundary obstacles, which easily limit their practical applications. To relax these constraints, we only perceive position obstacle points within its sensing radius propose an po...

This paper is concerned with the detection and tracking of obstacles from a camera mounted on a vehicle with a view to driver assistance. To achieve this goal, we have designed a technique entirely based on image motion analysis. We perform the robust estimation of the dominant image motion assumed to be due to the camera motion. Then by considering the outliers to the estimated dominant motion...

This work presents a low-cost robot, controlled by a Raspberry Pi, whose navigation system is based on vision. The strategy used consisted of identifying obstacles via optical flow pattern recognition. Its estimation was done using the Lucas-Kanade algorithm, which can be executed by the Raspberry Pi without harming its performance. Finally, an SVM-based classifier was used to identify patterns...

We present a probabilistic method for noisy sensor based robotic navigation in dynamic en vironments The method generates an optimal trajectory by considering as optimality criteria the probability of not colliding with the obstacles and the probability of accessing an operational position with respect to a moving target object Estimates of the obstacle s kinematic parameters and measures of co...