The urban transportation network is made up of vehicles in motion, dynamic static and moving obstacles. These obstacles block the path of the moving vehicles thereby causing traffic jam. Thus it is important to model the network explicitly and to describe the movement of the vehicle and obstacles relative to the transportation network. In this study the researchers have addressed the : (i) prob...

This paper proposes a collision avoidance algorithm to solve the problem of (local) path planning for a three-dimensional (3-D) object moving among polyhedral obstacles. The algorithm is based on a generalized potential model of workspace [1] which assumes that the boundary of every 3-D object is uniformly charged. According to the proposed approach, the repulsive force and torque between the m...

We investigate the problem of determining visible regions given a set of (moving) obstacles and a (moving) vantage point. Our approach to this problem is through an implicit framework, where the obstacles are represented by a level set function. The visibility problem is formally formulated as a boundary value problem (BVP) of a first order partial differential equation. It is based on the cont...

This paper presents an human detection algorithm and an obstacle avoidance algorithm for a service robot that provides a service tracking. The mobile robot will have the ability to follow a human and avoid dynamically moving obstacles in an unstructured outdoor environment. To detect a human by an Image processing, we defined features of the human body in xml file and employed a support vector ...

In this paper we present a vision–based algorithm for the detection of moving obstacles in complex and unknown environments. The goal is to find moving objects from images captured by a mobile camera navigating together with a moving platform. One specific feature of our approach is that it does not need any information of the camera and hence works without camera calibration. Another advantage...