Lane departure warning system LDWS has been regarded as an efficient method to lessen the damages of road traffic accident resulting from driver fatigue or inattention. Lane detection is one of the key techniques for LDWS. To overcome the contradiction between complexity of algorithm and the real-time requirement for vehicle onboard system, this paper introduces a new lane detection method base...

Effect of driver’s awareness (e.g., to estimate the speed and arrival time of another vehicle) on the lane changing maneuver is discussed. “Scope awareness” is defined as the visibility which is required for the driver to make a visual perception about road condition and the speed of vehicle that appears in the target lane for lane changing in the road. Cellular automaton based simulation model...

The primary aim of this article is to extensively study female occupant kinematics and muscle activations in vehicle maneuvers potentially occurring precrash situations with different seat b...

In the Advanced Driver Assistance System (ADAS), lane detection plays a vital role to avoid road accidents of an Autonomous vehicle. Also, autonomous vehicles should be able navigate by themselves, in-order do, it needs understand its surrounding conditions like human. So that vehicle can determine path in streets and highways maintain manoeuvre. It has become most fundamental aspect consider c...

The death of Dr Joan Lane after a short illness in May of this year is a great and sad loss to her colleagues and friends and to the history of medicine community. Joan was about to take retirement from the University of Warwick, where she had taught for the past twenty-two years. Although she had no intention of ceasing with her research activities, she was planning to spend more time with her...

This thesis presents a tool for efficient query and analysis of MPEG encoded video. The image sequences for the video are obtained via a vehicle-mounted forward-looking camera. The tool accepts queries that signify both temporal and geometric events as the vehicle traverses common roadways, such as " identify portions of the video where the vehicle is making a lane change maneuver, " or " ident...

A lane detection algorithm for complex environment was proposed. It was concerned on selecting candidate lane region by object segmentation. Then redundancy edges were extracted by Sobel operator. Furthermore, candidate lane markers were obtained by threshold selection from the edges. Finally lane markers were detected by piecewise fitting. The proposed algorithm was simulated in MATLAB. Experi...

In this paper we propose a robust lane detection and tracking method by combining particle filters with the particle swarm optimization method. This method mainly uses the particle filters to detect and track the local optimum of the lane model in the input image and then seeks the global optimal solution of the lane model by a particle swarm optimization method. The particle filter can effecti...

Evaluating the effectiveness and benefits of driver assistance systems is crucial for improving the system performance. In this paper, we propose a novel framework for testing and evaluating lane departure correction systems at a low cost by using lane departure events reproduced from naturalistic driving data. First, 529,096 lane departure events were extracted from the Safety Pilot Model Depl...

Live-wire type techniques for interactive image segmentation are of practical use for various applications such as medical image analysis, digital image composition, etc. Intelligent scissors [5] and live wire [8] are the representative techniques of this type, which are based on a graph search over an entire image. Another technique called live lane [8] is also based on a graph search but loca...