Intelligent Longitudinal Control of Connected Cars
Period: 2018 – 2021
Support: see right
The IMS is researching on adaptive, self-learning longitudinal control as an application of resilient IoT systems. The use of machine learning methods in combination with the consideration of aggregated driving data and vehicle-to-vehicle communication (V2V) is being investigated. Thereby, the longitudinal dynamics of the vehicle can be optimised, e.g. to achieve energy efficient or comfortable driving characteristics. At the same time, the functional safety has to be assured as a part of a resilient technical system.
Contact: Tobias Eichenlaub