Mobility & Transportation

Mobility and transportation in the connected world of tomorrow

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Christoph Belafi
Partner

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Our service offerings

Autonomous and Connected Vehicles

Autonomous and Connected Vehicles

Increasing vehicle automation requires 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, requires the development of innovative algorithms and efficient data management, both within the vehicle and in the associated back-end system. In the future, algorithms will be able to evaluate large volumes of sensor data simultaneously and in real-time in order to make driving-related decisions.

d-fine supports its clients in this innovative environment by offering specialised technological skills, particularly in the development of image recognition based on sensors (e.g. video, radar, ultrasound and lidar), thus providing high-resolution maps consisting of topological and traffic data, as well as the real-time connection with C2X communication. From a technological point of view, this requires deep-learning algorithms (e.g. CNNs) for object detection, the development of big data architectures for scalable 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 Digital Port Technologies Public Transport and Urban Mobility Smart Rail Transport Next Generation of Transport Logistics Finance and Controlling Treasury and risk management

Autonomous and Connected Vehicles

Increasing vehicle automation requires 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, requires the development of innovative algorithms and efficient data management, both within the vehicle and in the associated back-end system. In the future, algorithms will be able to evaluate large volumes of sensor data simultaneously and in real-time in order to make driving-related decisions.

d-fine supports its clients in this innovative environment by offering specialised technological skills, particularly in the development of image recognition based on sensors (e.g. video, radar, ultrasound and lidar), thus providing high-resolution maps consisting of topological and traffic data, as well as the real-time connection with C2X communication. From a technological point of view, this requires deep-learning algorithms (e.g. CNNs) for object detection, the development of big data architectures for scalable 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

Insights

Brochure

Specific utilisation of sector coupling via vehicle-to-grid

Vehicle-to-grid infrastructure is a win-win scenario as it enables the stabilisation of energy grids and support of electric mobility through the...

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Whitepaper

Urban Mobility: Milan 2030

The impact of shared and autonomous robo-taxis on future urban mobility – Milan 2030 study

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