maschinelles lernen

Machine learning - Detection of road markings

The recognition of objects and the vehicles surroundings belong to the greatest challenges when it comes to automated driving.

Our solution is to use machine learning methods by mapping complex, not procedurally programmable solutions with the help of neural networks. Therefore, we use a Nvidia Drive PX2, which can process neural networks, is optimized for the application in automotive contexts and has all necessary interfaces.

To enable a vehicle to capture and understand its environment we first train the neural network on the according task. Therefore, we create the network according to the task and optimize it. Then, the data collected in test drives is prepared, annotated, and artificially multiplied to train the network efficiently. Finally, we test, validate and optimize the created network.

This method was applied for example for automated vehicle platoons in order to expand the existing system for the detection of road markings. Standard systems normally use a front camera placed in the center of the vehicle. Platoon driving however has the disadvantage that cameras in such a position see very little, as the vehicle in front takes up most of the space on the picture. Moving the camera to the left enlarges the view, but leaves neural networks puzzled, as the road markings now look skewed due to the different point of view.

Thanks to our testing vehicles we can reproduce such situations, record the relevant data (e.g. camera, radar or lidar) and annotate these, in order to retrain and validate the neural networks.

For annotation purposes we use our own software, which helps us to mark e.g. vehicles, road markings or any type of relevant objects according to your requirements. By adding varying weather conditions we can multiply the data artificially, which enlarges the amount of training material for your neural network.

maschinelles lernen 800x600 1

maschinelles lernen 800x600 2

Testing infrastructure

Ihr Ansprechpartner

Your contact

[Foto: Adrian Zlocki]

Bereichsleiter Automatisiertes Fahren
Dr.-Ing. Adrian Zlocki

Department Manager Automated Driving
Dr.-Ing. Adrian Zlocki

This email address is being protected from spambots. You need JavaScript enabled to view it.
Telefon: +49 241 8861 219

This email address is being protected from spambots. You need JavaScript enabled to view it.
Phone: +49 241 8861 219

fka World of Research

[Image: CO2 reduction]
Strategy & Consulting | Dipl.-Kfm. Ingo Olschewski

Strategies for reducing CO2 and emissions

Legislative CO2- and emission guidelines are major drivers for mid- and long-term automotive developments.

Read more ...

[Image: Steer-by-wire]
Chassis | Dipl.-Ing. Daniel Wegener

Our steer-by-wire concept

Steer-by-wire is one of the key technologies for high level automated driving.

Read more ...

Drivetrain | Dr.-Ing. Manfred Crampen

Customized hybridization or electrification

Our unique simulation environment helps us adjusting concepts and functions to meet the precise requirements of the vehicle platform und use-case in question.

Read more ...

read more news