Influence of domain shift factors on deep segmentation of the drivable path of an autonomous vehicle

One of the biggest challenges for an autonomous vehicle (and hence the WEpod) is to see the world as humans would see it. This understanding is the base for a successful and reliable future of autonomous vehicles. Real-world data and semantic segmentation generally are used to achieve full understanding of its surroundings. However, deploying...

Vehicle detection from an image sequence collected by a hovering helicopter

This paper addresses the problem of vehicle detection from an image sequence in difficult cases. Difficulties are notably caused by relatively small vehicles, vehicles that appear with low contrast or vehicles that drive at low speed. The image sequence considered here is recorded by a hovering helicopter and was stabilized prior to the vehicle...

A System for the Acquisition and Analysis of Image Sequences to Model Longitudinal Driving Behavior

Traffic causes important problems in many societies. Considerable amounts of energy, money and time are wasted in traffic jams and even more important are car accidents and casualties in traffic (more than 40,000 deaths per year in the USA (Hitti (2005)) and 791 deaths in 2007 in the Netherlands (van Verkeer en Waterstaat (2008))). To alleviate...

Energy function behavior in optimization based image sequence stabilization in presence of moving objects

In this paper, we address the registration of two images as an optimization problem within indicated bounds. Our contribution is to identify such situations where the optimum value represents the real transformation parameters between the two images. Consider for example Mean Square Error (MSE) as the energy function: Ideally, a minimum in MSE...

Optimization based image registration in the presence of moving objects