This paper presents a Road Detection and Classification algorithm for Driver Assistance Systems (DAS), which tracks several road lanes and identifies the type of lane boundaries. The algorithm uses an edge filter to extract the longitudinal road markings to which a straight lane model is fitted. Next, the type of right and left lane boundaries (continuous, broken or merge line) is identified us...

We propose a novel image-based strategy for a sub-decimetre quality georeferencing of Mobile Mapping Systems in urban areas. The presented approach uses very high resolution multiple-view calibrated aerial images to extract a database of 3D invariant objects, namely road marks. These objects are also extracted in 3D in the ground-based imagery and are matched with the aerial data source. These ...

This paper is motivated by the age-old question: why did the chicken cross the road? In this paper we discuss the challenges of developing and modelling a cyber-physical system to help a chicken (a robot or rover) safely pass through a field (road) of moving obstacles (cars) to reach a predetermined goal (the other side of the road). In this project, we construct hybrid dL programs that capture...

In this paper, a road-frequency adaptive control for semi-active suspension systems is investigated. The control aims to improve the vehicle suspension performance (ride comfort and wheel handling) for all frequency regions of road disturbances. In order to achieve this aim, the control law is extended from the conventional skyhook control, and the controller gains are scheduled for various fre...

Based on our site investigation conducted in 2013, we found that the pedestrian red light crossing at the midblock connecting the campus of Southwest University and living area was low, where most of pedestrians are university students and staff. This paper reports a supplementary work applying the Theory of Planned Behaviour (TPB) to identify any psychological differences toward pedestrian red...

Based on the analysis for the present research on controlling urban trunk road, a intelligent control method for urban trunk road based on wireless sensor and fuzzy neural network was proposed. In this method, we took two layers of WSN structure. The first one was data collecting layer, which consisted of traffic information collecting nodes and sink nodes. Data collecting layer was responsible...