Imagine that you are driving on the highway at 70 mph and trying to figure out which lane should follow to exit in front. The precision of the current GPS cannot tell on which lane you are on, so the instruction given by the GPS is just as simple as ”keep right” resulting in the driver’s panic caused by searching from multiple signs. However, if we have a smart camera mounted inside the vehicle...

In this paper, we present an efficient lane detection and tracking algorithm for wide-baseline stereo vision systems with cameras mounted on the host vehicle. The main purposes of the vision system are host vehicle localization and lane shape recognition for advanced driver assistance tasks on highways and country roads with visible lane boundary markings. This is achieved via the 3D geometrica...

Most of the people die every year in road crashes due to driver’s inattention and not following the traffic rules. The Lane detection systems are useful to avoid the accidents and safety is the main purpose of the system. The main goal of these systems is to detect the lane stripes and to warn the driver in case of the vehicle tend to depart from the lane. Many intelligent vehicles transport sy...

This paper describes a novel lane detection algorithm for visual traffic surveillance applications under the auspice of intelligent transportation systems. Traditional lane detection methods for vehicle navigation typically use spatial masks to isolate instantaneous lane information from on-vehicle camera images. When surveillance is concerned, complete lane and multiple lane information is ess...

Lane detection and tracking are very crucial treatments in lane departure warning systems as they help the vehicle-mounted system to keep its lane. In this context, the authors’ work aims to develop vision-based lane detection and tracking method to detect and track lane limits in highways and main roads. The authors’ contribution focuses on the detection step. By exploiting the fact that, in a...

Measuring of party system stability in Eastern Europe during the first decade of democratic elections presents problems. The traditional quantitative measure – volatility – does not distinguish between the dynamics among incumbent parties and the rise of genuinely new ones. I propose a new additional measure – success of genuinely new parties – and compare it to volatility. The subsequent perfo...

The aim of this study was to investigate relationships between pre-competition group cohesion, mood, and performance in a soccer team over the course of a season. A male soccer team in England played eight games and data were analyzed on a game-by-game basis. Participants completed the Group Environment Questionnaire (Carron, Brawley, & Widmeyer, 1985) and Brunel Mood Scale to assess Anger, Con...

One of the challenges of lane departure warning (LDW) systems is to differentiate between normal lane keeping behavior and lane change events in which drivers simply do not use the lane change indicator. Lane keeping behavior differs between drivers and often between driving scenarios, therefore a static threshold of predicting steering maneuver is not an ideal solution. The objective of the cu...

The detection of lane boundaries on suburban streets using images obtained from video constitutes a challenging task. This is mainly due to the difficulties associated with estimating the complex geometric structure of lane boundaries, the quality of lane markings as a result of wear, occlusions by traffic, and shadows caused by road-side trees and structures. Most of the existing techniques fo...

A framework for integrated driving behavior modeling, based on the concepts of short-term goal and short-term plan is proposed. Drivers are assumed to conceive and perform short-term plans in order to accomplish short-term goals. This behavioral framework captures drivers' planning capabilities and allows decisions to be based on anticipated future conditions. An integrated driving behavior mod...