In the last years, the Remote Sensing Technology Institute of the German Aerospace Center has been developing a real-time airborne monitoring system which can be used during natural disasters, mass events and huge traffic jams. This system consists of a cost-effective optical camera system, onboard computers for real-time processing and a datalink for transmitting the traffic information and aerial images to the ground station. The traffic information is automatically extracted from the images by detecting the cars and tracking them within a few frames. Results are the position and the speed of each cars, which are written into a database on the ground. In this paper we give a description of the overall system with focus on the automatic...
Abstract. To gain more insight into the behavior of drivers during congestion, and to develop and te...
Caused by the rising interest in traffic surveillance for simulations and decision management many p...
Traffic monitoring requires mobile and flexible systems that are able to extract densely sampled spa...
Given that ground stationary infrastructures for traffic monitoring are barely able to handle everyd...
A world with growing individual traffic requires sufficient solutions for traffic monitoring and gui...
Traffic monitoring with wide angle serial images from digital cameras on airborne platforms is a ver...
This paper addresses some of the indications of the European Union for road safety by proposing a re...
Combinations of advanced driver assistance systems (ADAS) enabling semi-autonomous driving are now b...
OIS is a new Optical Information System for road traffic observation and management. The complete sy...
This article describes several methods for traffic monitoring from airborne optical remote sensing d...
Near real time monitoring of natural disasters, mass events, and large traffic disasters with airbor...
A real time airborne monitoring system for monitoring of natural disasters, mass events, and large t...
Remote sensing applications like disaster or mass event monitoring need the acquired data and extrac...
Here we present an airborne optical camera system with an extended image processing unit onboard the...
The classical means to measure traffic density and velocity depend on local measurements from induct...
Abstract. To gain more insight into the behavior of drivers during congestion, and to develop and te...
Caused by the rising interest in traffic surveillance for simulations and decision management many p...
Traffic monitoring requires mobile and flexible systems that are able to extract densely sampled spa...
Given that ground stationary infrastructures for traffic monitoring are barely able to handle everyd...
A world with growing individual traffic requires sufficient solutions for traffic monitoring and gui...
Traffic monitoring with wide angle serial images from digital cameras on airborne platforms is a ver...
This paper addresses some of the indications of the European Union for road safety by proposing a re...
Combinations of advanced driver assistance systems (ADAS) enabling semi-autonomous driving are now b...
OIS is a new Optical Information System for road traffic observation and management. The complete sy...
This article describes several methods for traffic monitoring from airborne optical remote sensing d...
Near real time monitoring of natural disasters, mass events, and large traffic disasters with airbor...
A real time airborne monitoring system for monitoring of natural disasters, mass events, and large t...
Remote sensing applications like disaster or mass event monitoring need the acquired data and extrac...
Here we present an airborne optical camera system with an extended image processing unit onboard the...
The classical means to measure traffic density and velocity depend on local measurements from induct...
Abstract. To gain more insight into the behavior of drivers during congestion, and to develop and te...
Caused by the rising interest in traffic surveillance for simulations and decision management many p...
Traffic monitoring requires mobile and flexible systems that are able to extract densely sampled spa...