Location & approach

By car

The building OH16 is situated in the campus north of the TU Dortmund, close to the motorway intersection Dortmund West, where the Sauerlandlinie A 45 (Frankfurt-Dortmund) crosses the Ruhrschnellweg B 1 / A 40. From here the university is connected to the west with the motorway network of the Ruhr Area and beyond that to the regions of the Lower Rhine and the Netherlands. In the eastern direction the B 1 leads through Dortmund to Unna, where there is a connection with the motorways leading to Bremen, Hannover/Berlin and Kassel. In the north, the A 45 ends after a few kilometres at the A 2, leading to the Kamener Kreuz and in the other direction to Oberhausen. In the Westhofener Kreuz, south of the university, the A 45 crosses the A 2, leading to Bremen and Köln. The best motorway exit on the A 45 is "Dortmund-Eichlinghofen" and on the B 1 / A 40 "Dortmund-Dorstfeld" or "Dortmund-Barop". There are signs at all exits leading you to the university.

By train

The building OH16 is to be reached via the university´s train station ("Dortmund Universität"). From there suburban trains leave for the Dortmund main station ("Dortmund Hauptbahnhof") and the Düsseldorf main station via the "Düsseldorf Airport train station" (take the S-Bahn number 1 which leaves every 20 or 30 minutes). Also there is the possibilty of getting from Dortmund city to the university by bus and subway: From the Dortmund main station you can take all subways bound for the station "Stadtgarten", usually the underground routes U41, U45, U 47 and U49. At "Stadtgarten" you switch trains and get onto the line U42 towards "Hombruch". The station you have to look out for is "An der Palmweide". From the bus station, busses bound for the university leave every ten minutes (lines 445, 462) the closest stop to the building OH16 is "Joseph v Frauenhofer Str.". For individual timetable information about public passenger traffic see the homepage of the Verkehrsverbund Rhein-Ruhr (that is the regional public transportation system; please visit www.vrr.de).

By plane

You can fly from several places in Central Europe directly to Dortmund airport (please visit https://www.dortmund-airport.com). To get from the Dortmund airport to the University, which are approximately 20 kilometers apart, you can use a shuttle bus to the Dortmund main station. Normally the fastest way is to catch a taxi at Dortmund airport.

The Rhein-Ruhr-Airport in Düsseldorf (please visit https://dus.com), 60 kilometers away from Dortmund, offers world-wide air connections. The University can be reached directly using the suburban train S1 to Dortmund main station ("Dortmund Hauptbahnhof") getting off at the university's train station, but normally it is faster to use the regional train ("Regional Express") to Dortmund main station and then take suburban train S1 to Düsseldorf, which does not stop as often as the suburban trains do.getting off at the university's train station (3rd halt).

Plan of site & interactive map

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent "Technologiepark".

> Go to interactive map

ServicePortal UniMail

Contrast Deutsch

Location & approach

By car

The building OH16 is situated in the campus north of the TU Dortmund, close to the motorway intersection Dortmund West, where the Sauerlandlinie A 45 (Frankfurt-Dortmund) crosses the Ruhrschnellweg B 1 / A 40. From here the university is connected to the west with the motorway network of the Ruhr Area and beyond that to the regions of the Lower Rhine and the Netherlands. In the eastern direction the B 1 leads through Dortmund to Unna, where there is a connection with the motorways leading to Bremen, Hannover/Berlin and Kassel. In the north, the A 45 ends after a few kilometres at the A 2, leading to the Kamener Kreuz and in the other direction to Oberhausen. In the Westhofener Kreuz, south of the university, the A 45 crosses the A 2, leading to Bremen and Köln. The best motorway exit on the A 45 is "Dortmund-Eichlinghofen" and on the B 1 / A 40 "Dortmund-Dorstfeld" or "Dortmund-Barop". There are signs at all exits leading you to the university.

By train

The building OH16 is to be reached via the university´s train station ("Dortmund Universität"). From there suburban trains leave for the Dortmund main station ("Dortmund Hauptbahnhof") and the Düsseldorf main station via the "Düsseldorf Airport train station" (take the S-Bahn number 1 which leaves every 20 or 30 minutes). Also there is the possibilty of getting from Dortmund city to the university by bus and subway: From the Dortmund main station you can take all subways bound for the station "Stadtgarten", usually the underground routes U41, U45, U 47 and U49. At "Stadtgarten" you switch trains and get onto the line U42 towards "Hombruch". The station you have to look out for is "An der Palmweide". From the bus station, busses bound for the university leave every ten minutes (lines 445, 462) the closest stop to the building OH16 is "Joseph v Frauenhofer Str.". For individual timetable information about public passenger traffic see the homepage of the Verkehrsverbund Rhein-Ruhr (that is the regional public transportation system; please visit www.vrr.de).

By plane

You can fly from several places in Central Europe directly to Dortmund airport (please visit https://www.dortmund-airport.com). To get from the Dortmund airport to the University, which are approximately 20 kilometers apart, you can use a shuttle bus to the Dortmund main station. Normally the fastest way is to catch a taxi at Dortmund airport.

The Rhein-Ruhr-Airport in Düsseldorf (please visit https://dus.com), 60 kilometers away from Dortmund, offers world-wide air connections. The University can be reached directly using the suburban train S1 to Dortmund main station ("Dortmund Hauptbahnhof") getting off at the university's train station, but normally it is faster to use the regional train ("Regional Express") to Dortmund main station and then take suburban train S1 to Düsseldorf, which does not stop as often as the suburban trains do.getting off at the university's train station (3rd halt).

Plan of site & interactive map

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent "Technologiepark".

> Go to interactive map

ServicePortal UniMail

Research

The general goal of pattern recognition is to reproduce or mimic human perceptual capabilities in technical systems, making machines "see" or "hear". Generally, pattern recognition enables machines to "sense" their surroundings with a range of sensors, analyze the sensory data and react intelligently and appropriately to certain events occurring in these surroundings. Relevant events are associated with reappearing patterns in the sensory data streams. Thus, the task is to find, model (or "learn") and classify those patterns, distinguishing relevant from irrelevant events.

Research in the Pattern Recognition Group aims both at advancing the principled pattern recognition methods behind Intelligent Systems and at developing application-oriented solutions for real-world problems. The term Intelligent Systems comprises a wide range of artifacts and devices augmented with advanced computational capabilities. Good examples are robotic assistants, smart homes, or decision support systems. All these have in common that they react intelligently when interacting with humans and draw "intelligent" inferences in automated decision processes. In order to realize such seamingly intelligent behavior advanced techniques of pattern recognition and machine learning are developed and applied.

The group closely collaborates with several research groups from academia and a number of industrial partners.

Currently, the main research topics addressed come from the fields of computer vision, acoustic signal processing, and document image analysis. In these areas techniques for the natural and robust interaction between technical systems - like, for example, smart spaces - and human users are developed. The solutions are primarily based on the application of advanced methods from the field of statistical pattern recognition. These all share the important property of being able to automatically learn computational models from examples, which is also a fundamental capability of human perceptual systems.

Research areas

Publications