A stereo vision based vehicle/obstacle detection system has been proposed that generates alarms when vehicles/obstacles are detected in vicinity of near/mid region. Numerous techniques have been applied to detect vehicles/obstacles using a forward facing monocular camera mounted inside a vehicle. This paper presents a methodology for vehicle/obstacle detection using high resolution stereo camer...

Power line extraction is the basic task of power inspection with unmanned aerial vehicle (UAV) images. However, due to complex backgrounds and limited characteristics, from images a difficult problem. In this paper, we construct data set using UAV classify according image clutter (IC). A method combining detection semantic segmentation used. This divided into three steps: First, multi-scale LSD...

The aim of this article is to analyze the effect of kinematic parameters on a novel proposed on–line motion planning algorithm for an articulated vehicle based on Model Predictive Control. The kinematic parameters that are going to be investigated are the vehicle’s velocity, the maximum allowable change in the articulated steering angle, the safety distance from the obstacles and the total numb...

This paper proposes an efficient neural network (NN) approach to tracking control of an autonomous surface vehicle (ASV) with completely unknown vehicle dynamics and subject to significant uncertainties. The proposed NN has a single-layer structure by utilising the vehicle regressor dynamics that expresses the highly nonlinear dynamics in terms of the known and unknown dynamic parameters. The l...

Path planning is a necessary and fundamental component of any autonomous vehicle. The goal is to obtain a path that allows the vehicle to fullll its mission objectives by ensuring an eecient and safe path. Numerous path planning algorithms exist, although each is speciic to the type of vehicle that the algorithm is used on. This paper presents a path planning algorithm that is generic in nature...

A stereo vision based vehicle/obstacle detection system has been proposed that generates alarms when vehicles/obstacles are detected in vicinity of near/mid region. Numerous techniques have been applied to detect vehicles/obstacles using a forward facing monocular camera mounted inside a vehicle. This paper presents a methodology for vehicle/obstacle detection using high resolution stereo camer...

Developing a vision based, efficient and automatic lane detection system from a moving vehicle is a challenging task mainly due to poor quality of lane markings, occlusion created by traffic, complex road geometry and nevertheless, the non-existence of unique models. The focus of this paper is to detect line or curve like segments from a video image taken from moving vehicle and merge them to d...

A structural model is provided for traffic assignment to a transit model. It deals with a hierarchy of layers from passenger to network passing by vehicle, service route and line, while taking advantage of the spatial structure of service routes and lines. A range of capacity effects are addressed: in-vehicle passenger capacity, access-egress capacity in relation to dwelling time, platform occu...

The Ares I-X Flight Test Vehicle is the first in a series of flight test vehicles that will take the Ares I Crew Launch Vehicle design from development to operational capability. The test flight is scheduled for April 2009, relatively early in the Ares I design process so that data obtained from the flight can impact the design of Ares I before its Critical Design Review. Because of the short t...

Path planning is a necessary component of any autonomous vehicle. The task is one of nding a course that takes the vehicle from its current location to a destination avoiding obstacles that might damage or divert the vehicle. There are many forms of path planning algorithms such as those that pregenerate a path versus those that perform reactive run-time planning. This paper presents a two-dime...