• Network Control System of Autonomous Vehicles
    Autonomous systems, such as self-driving cars, unmanned aerial vehicles, autonomous ships, and smart robots, have gained a lot of attention from both academia and industry. Autonomous systems must be capable of planning and executing complex tasks as intended, with limited or no human intervention. They will be exposed to uncertain and unstructured uncertainties arising from modelling errors and external disturbances.
    Leaders: Abdelaal
    Year: 2019
  • Visual communication to control route choice behavior
    The individual choice of transport modality and route depends on a number of factors. In particular, information about the expected traffic situation is considered important. It should therefore be examined whether the mediation of the current and the anticipated situation on site (including the indication of certain securities) leads to the choice of a different route or even a different modality.
    Team: Fuest, Sester
    Year: 2018
    Sponsors: DFG-Graduiertenkolleg SocialCars
  • Deep learning of user behavior in road space - particularly in shared spaces
    The project aims to investigate the behaviour of different road users in unregulated spaces, i.e. spaces open to all road users. Existing approaches are based on a given movement model, which describes the individual behaviour as well as the interactive behaviour of different road users.
    Team: Cheng, Sester
    Year: 2018
    Sponsors: DFG-Graduiertenkolleg SocialCars
  • USEfUL
    Due to its location at the center of Europe and the global operating companies, logistics and mobility have always been of outstanding importance in Hanover, a city rebuilt car-friendly after the war. A growing city is associated with increasing mobility and supply needs as well as an individually and systemically caused need of logistics for supply and disposal.
    Team: Wage, Feuerhake
    Year: 2018
    Sponsors: BMBF: 03SF0547