In recent years, the construction of lane-level road maps has received extensive attention from industry and academia. It been widely studied because this kind map provides foundation for much research, such as high-precision navigation, driving behavior analysis, traffic analysis. Trajectory-based crowd-mapping is an emerging approach to construction. However, major problem that existing metho...

Kinzel 2 Fig 1. " Standard " two-lane roundabout and key terms Abstract. Multi-lane roundabouts present motorists with a complex set of decisions. Unlike single-lane roundabouts, for which the only rule on entry is " yield to the driver on your left, then circulate to your right " , multi-lane roundabouts also require decisions about lane positioning – and these decisions are necessary at multi...

This work examines the visual scanning behavior of drivers in preparing and executing a lane change. In an experiment, drivers navigated a naturalistic highway environment with moderate traffic in a fixed-base driving simulator. The data collected in the experiment included steering control data, eye movements, and verbal protocols. Drivers began to exhibit significantly different scanning beha...

Lane boundary detection technology has progressed rapidly over the past few decades. However, many challenges that often lead to lane detection unavailability remain to be solved. In this paper, we propose a spatial-temporal knowledge filtering model to detect lane boundaries in videos. To address the challenges of structure variation, large noise and complex illumination, this model incorporat...

In this paper, we proposed a new B-snake based lane detection algorithm. Compared with other lane models, the B-snake based lane model is able to describe a wider range of lane structures, since B-spline can form any arbitrary shape by a set of control points. The problems of detecting both sides of lane markings (or boundaries) have been formulated here as the problem of detecting the mid-line...

Pervasive smart computing environments make people get accustomed to convenient and secure services. The overall goal of this research is to classify vehicles along the I215 freeway in Salt Lake City, USA. This information will be used to predict future roadway needs and the expected life of a roadway. The classification of vehicles will be performed by a synthesis of multiple sets of features....

Driving behavior models for lane-changing and acceleration form an integral component of microscopic traffic simulators and determine its value in evaluation of different traffic management strategies. The state-of-art model for lane changing adopts a two-level framework: the first level involves a latent or unobserved choice of a target lane; the second level models the acceptance of adjacent ...

This paper presents a robust and reliable lane extraction algorithm to navigate the wheelchair robot in real time in outdoor environments. Seven components have been cooperatively utilized to extract lane boundaries on roads with different conditions. Specifically, three features are efficiently extracted to represent two lane boundaries using the lane boundaries in the previous frame. Three we...

The aim of this research is to study and develop models for driver’s lane-changing behaviour in an urban area using the logistic regression method. A pilot study was conducted using a videotape recording technique to film an approach road leading to a signalised intersection in an urban road during the morning off-peak period. Inter related coding methods were designed to described and verify t...

This paper presents a methodology for extracting road edge and lane information for smart and intelligent navigation of vehicles. The range information provided by a fast laser range-measuring device is processed by an extended Kalman filter to extract the road edge or curb information. The resultant road edge information is used to aid in the extraction of the lane boundary from a CCD camera i...