Autonomous ground vehicles, or self-driving cars, require a high level of situational awareness in order to operate safely and efficiently in real-world conditions. A system able to quickly and reliably estimate the location of the roadway and its lanes based upon local sensor data would be a

Abstract — Lane estimation for autonomous driving can be formulated as a curve estimation problem, where local sensor data provides partial and noisy observations of spatial curves. The number of curves to estimate may be initially unknown and many of the observations may be outliers or false

. It is for these driver assistance objectives that motivate the development of the novel “Video Based Lane Estimation and Tracking ” (VioLET) system. The system is designed using steerable filters for robust and accurate lane marking detection. Steerable filters provide an efficient method for detecting circular

. It is for these driver-assistance objectives that motivate the development of the novel “video-based lane estimation and tracking ” (VioLET) system. The system is designed using steerable filters for robust and accurate lane-marking detection. Steerable filters provide an efficient method for detecting circular

Abstract not found

On the estimation of lane flows for intersection analysis

Modelling of large transportation systems... This paper offers mixture model as a flexible candidate for modelling of such element. The mixture model describes particular and possibly very different states of a specific system by its individual components. A hierarchical model built on such elements can describe complexes of big city communications as well as railway or highway networks. Bayesian paradigm...

to estimate and track lanes in a road scene captured by on-board camera. The proposed technique processes selected bands in the image instead of the entire region of interest to extract sufficient lane features for efficient lane estimation. A detailed performance evaluation of the proposed approach

The driver gap acceptance and rejection behavior during mandatory lane changes on a multilane freeway are analyzed in this paper. Gaps are accepted or rejected based on comparison with a minimum value generally defined as the critical gaps. Critical gaps are estimated based on the accepted

of exclusive lanes. This paper extends our previous research on developing a generalized lane-changing model and enhances it by introducing an exclusive lane-specific component in the model. The target lane-changing model is first estimated with disaggregate data collected from Interstate-395, Virginia