In this paper, we analyze the kinematics of the vehicles involved in a lane changing/merging maneuver, and study the conditions under which lane changing/merging crashes can be avoided. That is, given a particular lane change/merge scenario, we calculate the minimum longitudinal spacing which the vehicles involved should initially have so that no collision, of any type, takes place during the m...

In this paper we propose a new lane detection method for expressway lane departure warning. The use of the extended Hough transform and a bird's-eye view image effectively improve the robustness and resolution of lane detection. Hardware cost is reduced by using a rear-view camera from an existing system and by implementing the system on an embedded CPU.

We give a precise description of combed trees in terms of KellyMac Lane graphs. We show that any combed tree is uniquely expressed as an allowable Kelly-Mac Lane graph of a certain shape. Conversely, we show that any such Kelly-Mac Lane graph uniquely defines a combed tree.

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...