Human–machine shared control of intelligent vehicles is considered an important technology during the industrial application autonomous driving systems. Among engineering practices in driver assistance systems, steering one applications for human–machine interaction. However, how to deal with conflicts emergency scenarios main challenge controller’s design. Most approaches usually generate mach...

Field observations suggest that the Lane-Changing (LC) processes are often interrupted by surrounding vehicles. Understanding these intermediate interruptions and evasive behavior during an LC is necessary for developing realistic simulation tools, collision-warning systems, human-like in self-driving However, identifying classifying into (ILC) uninterrupted (ULC) not straightforward. This stud...

OBJECTIVE This paper introduces a robust, real-time system for detecting driver lane changes. BACKGROUND As intelligent transportation systems evolve to assist drivers in their intended behaviors, the systems have demonstrated a need for methods of inferring driver intentions and detecting intended maneuvers. METHOD Using a "model tracing" methodology, our system simulates a set of possible...

KIF1A kinesins are single-headed motor proteins which move on cylindrical nanotubes called microtubules (MTs). A normal MT consists of 13 protofilaments on which the equispaced motor binding sites form a periodic array. The collective movement of the kinesins on a MT is, therefore, analogous to vehicular traffic on multilane highways where each protofilament is the analog of a single lane. Does...

For safe urban driving, one prerequisite is to keep a car within a road-lane boundary. This requires human and robotic drivers to recognize the boundary of a road-lane and the location of the vehicle with respect to the boundary of a road-lane that the vehicle happens to be driving in. We present a new computer vision system that analyzes a stream of perspective images to produce information ab...

In this paper we describe an approach to detect and predict the driving trajectory of a preceding vehicle on highway. In particular, we focus on detecting and predicting the changing lane intention and action of the preceding vehicle. Our algorithm employs SVM for driving pattern recognition by integrating two different cues: motion cue and appearance cue, which is trained on two class feature ...

A two-lane extension of a recently proposed cellular automaton model for traffic flow is discussed. The analysis focuses on the reproduction of the lane usage inversion and the density dependence of the number of lane changes. It is shown that the single-lane dynamics can be extended to the two-lane case without changing the basic properties of the model which are known to be in good agreement ...

In this article we summarize work concerned with the comparison between a cellular automaton (CA)-model 1 for traac ow and empirical data. The results presented here consist of two parts: comparing the fundamental diagrams and looking for a certain set of lane changing rules, which reproduce at least qualitatively the data measured on german motorways. These last results indicate, that it is po...

In this article we summarize work concerned with the comparison between a cellular automaton (CA)-model 1 for traac ow and empirical data. The results presented here consist of two parts: comparing the fundamental diagrams and looking for a certain set of lane changing rules, which reproduce at least qualitatively the data measured on german motorways. These last results indicate, that it is po...

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...