Every year 15,000 people are killed on US highways in single vehicle roadway departure automobile crashes, often because of driver drowsiness or inattention. This talk will describe techniques we are developing to prevent these tragedies. Learning is central to this work due to the extreme variability of environmental conditions and individual driver styles. I will describe our recent progress ...

This paper proposes a technique for unwanted lane departure detection. Initially, lane boundaries are detected using a combination of the edge distribution function and a modified Hough transform. In the tracking stage, a linear-parabolic lane model is used: in the near vision field, a linear model is used to obtain robust information about lane orientation; in the far field, a quadratic functi...

In this paper, we investigate predictive control approaches to the problem of roadway departure prevention via steering and braking. We assume a sensing infrastructure detecting road geometry and consider a two layers architecture consisting of a threat assessment and an intervention layer. In particular, the upper threat assessment layer detects the risk of roadway departure or vehicle instabi...

Previous studies suggest that eastern chipmunks (Tamias striatus) avoid roads, but it is unclear whether vehicle traffic plays a role in this avoidance. The purpose of this study was to determine whether road avoidance in chipmunks increases with traffic. We tracked the movements of 68 chipmunks released near roads with widely varying volumes of traffic. Our results suggest that chipmunks respo...

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau...

Limited driving range remains one of the barriers for widespread adoption of electric vehicles (EVs). To address the problem of range anxiety, this paper presents an energy consumption prediction method for EVs, designed for energy-efficient routing. This data-driven methodology combines real-world measured driving data with geographical and weather data to predict the consumption over any give...