Mobility & Transportation

Mobility and transportation in the connected world of tomorrow

Contact
Christoph Belafi
Partner

mail[at]d-fine.de

Our service offerings

Future of Driving: Autonomous and Connected Vehicles

Future of Driving: Autonomous and Connected Vehicles

Increasing vehicle automation requires the real-time analysis of large amounts of sensor data for reliable vehicle operation

The automation of vehicles, starting with assisted driving but also including autonomous driving, necessitates the development of innovative algorithms and efficient data management, both within the vehicle and in the associated back-end system. In future, algorithms will be able to evaluate large volumes of sensor data in real-time and in combination in order to take driving-related decisions.

d-fine supports its customers in this innovative environment by offering specialised technological skills, particularly in the development of image detection based on sensors (e.g. video, radar, ultrasound and lidar), thus providing a high-resolution map consisting of topological and traffic data, as well as the real-time connection of C2X communication. From a technological point of view, this means using deep-learning algorithms (e.g. CNNs) for object detection, the development of big data architectures for scaleable data management and the use of adapted validation methods for algorithms in selected test and simulation scenarios.

Digital Aviation E-Mobility and Alternative Fuel Technologies Port Technologies Public Transport and Urban Mobility Smart Rail Transport Next Generation of Transport Logistics Finance and control Treasury and risk management

Future of Driving: Autonomous and Connected Vehicles

Increasing vehicle automation requires the real-time analysis of large amounts of sensor data for reliable vehicle operation

The automation of vehicles, starting with assisted driving but also including autonomous driving, necessitates the development of innovative algorithms and efficient data management, both within the vehicle and in the associated back-end system. In future, algorithms will be able to evaluate large volumes of sensor data in real-time and in combination in order to take driving-related decisions.

d-fine supports its customers in this innovative environment by offering specialised technological skills, particularly in the development of image detection based on sensors (e.g. video, radar, ultrasound and lidar), thus providing a high-resolution map consisting of topological and traffic data, as well as the real-time connection of C2X communication. From a technological point of view, this means using deep-learning algorithms (e.g. CNNs) for object detection, the development of big data architectures for scaleable data management and the use of adapted validation methods for algorithms in selected test and simulation scenarios.

Sample projects/references

Development of a traffic simulation environment, including an analysis tool for innovative mobility concepts
Concept for real-time calculation and visualisation of an OD matrix
Corporate restructuring of an automotive company in its central treasury
Strategic realignment of the credit risk management for an airline
Analysis, selection and integration of a transport management system

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