We consider the problem of predicting motion vehicles in surrounding an autonomous car, for improved planning lane-based driving scenarios without inter-vehicle communication. First, we address single-vehicle estimation by designing a filtering scheme based on Interacting Multiple Model Kalman Filter equipped with novel intention-based models. Second, augment proposed optimization-based project...

in financial matters, portfolio can be interpreted as a combination or a series of investments hold by an institution or a person. portfolio optimization is one of the most important concerns of investors for maximizing the portfolio in financial markets. the formation of portfolio is a vital and critical decision for the companies.  in fact, the selection of portfolio is to specify the capital...

job shop scheduling problem has significant importance in many researchingfields such as production management and programming and also combinedoptimizing. job shop scheduling problem includes two sub-problems: machineassignment and sequence operation performing. in this paper combination ofparticle swarm optimization algorithm (pso) and gravitational search algorithm(gsa) have been presented f...

The classical problem of rebound is usually treated by assuming that the colliding bodies are rigid and that the coefficient of friction, ~ , is constant. Two contact states can be distinguished: slidinq, in which the ratio of friction force to normal force is equal to ~ , and rolling, in which the friction force is zero. If sliding gives way to rolling during impact, the friction force will fa...

We propose a general framework for the simulation of sounds produced by colliding physical objects in a virtual reality environment. The framework is based on the vibration dynamics of bodies. The computed sounds depend on the material of the body, its shape, and the location of the contact. This simulation of sounds allows the user to obtain important auditory clues about the objects in the si...

this study is focused on developing an integrated optimization-simulation based genetic algorithm model (iosga) to develop the operational policies for a multi-purpose reservoir system. the objective function of the optimization model is considered to be a linear function of reliability (rel), resiliency (res), and vulnerability (vul) of the river-reservoir system. genetic algorithm (ga) is emp...

designing of a pid controller is a very common method for industrial process control and due to its very simple and efficient function; it is used in a wide variety of industrial applications. pid controller to reduce the steady state error and dynamic response of the system is used. pid controller design is an inevitable problem in setting the coefficients need to try a lot of trial and error,...

The RW algorithm has been proposed recently to solve the exact graph matching problem. This algorithm exploits Random Walk theory to compute a topological signature which can be used to match the nodes in two isomorphic graphs. However, the algorithm may suffer from the presence of colliding signatures in the same graph, which may prevent the procedure from finding the complete mapping between ...

We present a collision detection and force computation algorithm based on the Voxelmap-Pointshell Algorithm which was integrated and evaluated in the physics engine Bullet. Our algorithm uses signed distance fields and point-sphere trees and it is able to compute collision forces between arbitrary complex shapes at simulation frequencies smaller than 1 msec. Utilizing sphere hierarchies, we are...

A method for detecting potential collisions between three-dimensional moving objects is described in this paper. An object-centered, spherical octree representation is deened and implemented for the localisation of potentially colliding features between polyhedral objects. These features are subsequently tested for intersection in order to calculate precisely the actual collision points. Applic...