We present an automatic traffic monitoring approach using data of an airborne wide angle camera system. This camera, namely the “3K-Camera”, was recently developed at the German Aerospace Center (DLR). It has a coverage of 8 km perpendicular to the flight direction at a flight height of 3000 m with a resolution of 45 cm and is capable to take images at a frame rate of up to 3 fps. Based on geor...

Most autonomous vehicles use GPS to determine vehicle location and heading. Using GPS for vehicle autonomous driving posts a few challenges. It does not look far ahead of the vehicle and requires frequent adjustment of vehicle heading. This results in an unstable control system and increases the chance of unstable driving behavior. Unlike this kind of passive or reactive control system, human d...

1 6 Abafact This report presents a study and evaluation of the technology and methodologies available for predicting the response of mobile ground equipment to dynamic input from terrain roughness. The purpose of the report is to develop a technical foundation for the subsequent formulation of military specifications for durability of ground vehicles used at air bases. The report reviews the te...

An automatic road sign detection system localizes road signs from within images captured by an on-board camera of a vehicle, and support the driver to properly ride the vehicle. Most existing algorithms include a preprocessing step, feature extraction and detection step. This paper arranges the methods applied to road sign detection into two groups: general machine learning, neural networks. In...

The reported study employed a virtual reality (VR) system, using a head mounted display (HMD), to investigate road crossing behavior in children and young adults. Younger children (aged 5-9 years) made the greatest number of unsafe road crossings and the oldest participants (aged >19 years) the fewest. Overall performance was better (fewer unsafe road crossings) in uniform speed than uniform di...

In this paper we propose a new model based traffic parameter estimation approach in congested situations in time series of airborne optical remote sensing data. The proposed approach is based on the combination of various techniques: change detection, image processing and incorporation of a priori information such as road network, information about vehicles and roads and finally a traffic model...

The proposed paper investigates the vehicle guidance control based on the visual information which is given by the webcam mounted on the vehicle. With the help of image processing techniques such as binarization, Canny edge detection method, and Hough transform, the road lines are thus identified, which means the drivable area can be defined. The proposed control scheme adopts a simple algorith...

This master thesis presents a method for on-line estimation of vehicle mass and road grade using Kalman filter. Many control strategies aiming for better fuel economy, drivability and safety in today’s vehicles rely on precise vehicle operating information. In this context, vehicle mass and road grade are crucial parameters. The method is based on an extended Kalman filter (EKF) and a longitudi...

Abstract: Driving safety can be enhanced by better understanding of risk situation, which can be achieved by the knowledge of vehicle dynamic states as well as the road geometry. Among the parameters of the road that have an influence on vehicle dynamics, one can find the bank angle, which can not however be measured by low cost onboard sensors. In this paper, a new method of road bank angle an...

Wireless Sensor Networks can help to mitigate the problem of congestion in cities. Congestion occurs, when the road infrastructure cannot cope with the increased demand for the particular road segment. This paper presents a congestion control system, which uses sensors installed on the road side units to monitor the data and the cars also having the capacity to collect data from the road infras...