Audi Ag

Volkswagen Ag

Porsche Ag

Dr. Ing. H.c. F. Porsche Aktiengesellschaft

Oleg Tolstov

Liang Kong

Maximilian Konstantin Thum

Florian Rill

Mehdi Golestanian

Andrea Kuklenyik

Wenjing Zhang

Maximilian Thum

In one embodiment, a method is provided. The method includes storing a set of training data. One or more machine learning models are trained based on the set of training data. The method also includes receiving, from a computing device, a request to access the set of training data. The method further includes determining whether the computing device is allowed to access the set of training data. In response to determining that the computing device is allowed to access the set of training data, the method includes transmitting a training token to the computing device. The training token grants a training environment with access to the set of training data for a period of time.

Training machine learning models with training data

Technologies and techniques for determining locations of a plurality of markers on a vehicle in three-dimensional space. The markers may be configured as optical or radio markers, where a sensor determines the locations of each of the plurality of markers, or a shape formed by the markers collectively. The locations of each of the plurality of markers or shape is then compared to a template to determine a match. The match identifies a vehicle having vehicle data that includes locations of vehicle components and/or vehicle performance characteristics. The vehicle data is then used to generate control signals for controlling a control device that may be associated with a robotic apparatus, a vehicle computer system and/or drone operating system.

Apparatus, system and method for using vehicle markers for controlling devices

Approaches, techniques, and mechanisms are disclosed for generating assisted driving test and evaluation data. According to one embodiment, video and non-video data are collected asynchronously through video and non-video data interface from an image acquisition device and a non-video data source collocated with the vehicle. Timing information received with the data is used to synchronize the video and non-video data into synchronized vehicle data. Specific labels indicating ground truths are identified to be applied to the synchronized vehicle data. Labeled vehicular data is generated from the synchronized vehicle data and the specific labels. At least a portion of the labeled vehicular data is to be used to test and evaluate assisted driving functionality.

Fast acquisition of labeled vehicular data from multiple data sources

A system and method are provided for determining an optimum location of an access device relative to a motor vehicle. The access device allows entry into the motor vehicle and/or allows activation of systems in the motor vehicle depending on the location of the access device relative to the motor vehicle.

Access device localization

A system, device and method for wireless device localization using a differential evolution algorithm in a continuous trilateration process.

Growing community of inventors

San Carlos, CA, United States of America

Oleg Tolstov