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USING ARTIFICIAL INTELLIGENCE TO PREDICT TRAFFIC SITUATIONS

Safe Automated Driving: Collaborative Project Starts

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Automated and connected driving is one of the automotive sector’s technologies of the fu­ture.

Re­searchers from the Robotics Research In­sti­tute at TU Dort­mund Uni­ver­sity and the automotive supply sector are together developing a key component for automated and connected driving: The aim of the “KISSaF” proj­ect is to improve environment perception and predict traffic situations by means of artificial intelligence. The collaborative proj­ect’s full name is “AI-based Situation Interpretation for Automated Driving”. The Federal Ministry for Economic Affairs and Energy has been funding it since the beginning of the year with € 2.75 million.

Automated and connected driving is one of the automotive sector’s technologies of the fu­ture. For fully automated vehicles to be underway on our roads, guaranteeing that they are steered safely in every situation is essential. This becomes especially difficult when the vehicle hands control back over to the person at the wheel. This “takeover” time, which the driver needs to get his or her bearings in a critical or complex situation, is usually calculated at ten seconds. In many traffic situations, that is far too long: At a speed of 50 km/h, a car travels almost a further 140 meters in city traffic in this time.

This is the starting point for the new proj­ect: By predicting how the traffic situation is going to develop, the vehicle itself should be able to anticipate and plan its maneuvers. If the in­for­mation from its surroundings is evaluated and interpreted properly, it is possible to align a vehicle’s individual motion planning with that of other road users. However, current approaches to automated driving, which work with conventional rule-based algorithms, are unable to reflect adequately how the traffic situation is going to develop. In a finite set of rules, the possible interactions of all road users as well as consideration of the road infra­structure and all contextual in­for­mation can only be expressed incompletely.

Modern technologies help with representation of the environment

That is why the proj­ect partners are first of all working to develop a representation of the environment that contains all im­por­tant aspects of the traffic scene: All static and dynamic objects and the infra­structure in the vehicle’s range of perception. Already today, modern sensor technologies are delivering more and more in­for­mation that can be used for this purpose: Radar, cameras, and sensors for optical measurement of distance and speed. To reflect that the traffic situation changes over time, observations are accumulated over a certain period. In addition, the representation should also already produce a basic interpretation of the situation, e.g. take speed limits into account.

The description of the environment is the starting point for the prediction: On the basis of the accumulated measurements from the observation period, artificial intelligence is used to train a model that looks into the fu­ture. The possible courses of fu­ture situations are then used for the decision algorithms needed to support and improve the vehicle’s maneuver planning. A test vehicle will be developed and used within the proj­ect to evaluate the predictions under real conditions.

About the KISSaF proj­ect:

“KISSaF – AI-based Situation Interpretation for Automated Driving” will run from 1 January 2021 to 30 June 2023. The total proj­ect volume is about € 4 million, of which 68 percent is being funded by the Federal Ministry for Economic Affairs and Energy. Collaborating in the proj­ect are three companies, ZF Automotive GmbH Germany in Düsseldorf (proj­ect coordinator), ZF AI Lab in Saarbrücken, and INGgreen GmbH in Koblenz, as well as the Robotics Research In­sti­tute of TU Dort­mund Uni­ver­sity.

Contact for further in­for­mation:

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Contact for further in­for­mation:

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Location & approach

The campus of TU Dort­mund Uni­ver­sity is located close to interstate junction Dort­mund West, where the Sauerlandlinie A 45 (Frankfurt-Dort­mund) crosses the Ruhrschnellweg B 1 / A 40. The best interstate exit to take from A 45 is “Dort­mund-Eichlinghofen” (closer to South Cam­pus), and from B 1 / A 40 “Dort­mund-Dorstfeld” (closer to North Cam­pus). Signs for the uni­ver­si­ty are located at both exits. Also, there is a new exit before you pass over the B 1-bridge leading into Dort­mund.

To get from North Cam­pus to South Cam­pus by car, there is the connection via Vo­gel­pothsweg/Baroper Straße. We recommend you leave your car on one of the parking lots at North Cam­pus and use the H-Bahn (suspended monorail system), which conveniently connects the two campuses.

TU Dort­mund Uni­ver­sity has its own train station (“Dort­mund Uni­ver­si­tät”). From there, suburban trains (S-Bahn) leave for Dort­mund main station (“Dort­mund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 20 or 30 minutes). The uni­ver­si­ty is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.

You can also take the bus or subway train from Dort­mund city to the uni­ver­si­ty: From Dort­mund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dort­mund Uni­ver­sity leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dort­mund main station to the stop “Dort­mund Kampstraße”. From there, take U43 or U44 to the stop “Dort­mund Wittener Straße”. Switch to bus line 447 and get off at “Dort­mund Uni­ver­si­tät S”.

The AirportExpress is a fast and convenient means of transport from Dort­mund Airport (DTM) to Dort­mund Central Station, taking you there in little more than 20 minutes. From Dort­mund Central Station, you can continue to the uni­ver­si­ty campus by interurban railway (S-Bahn). A larger range of in­ter­na­tio­nal flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the uni­ver­si­ty station.

The H-Bahn is one of the hallmarks of TU Dort­mund Uni­ver­sity. There are two stations on North Cam­pus. One (“Dort­mund Uni­ver­si­tät S”) is directly located at the suburban train stop, which connects the uni­ver­si­ty directly with the city of Dort­mund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Cam­pus) Eichlinghofen. The other station is located at the dining hall at North Cam­pus and offers a direct connection to South Cam­pus every five minutes.

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”.

Site Map of TU Dort­mund Uni­ver­sity (Second Page in English).