SecForCARs is a cooperation project funded by the German Federal Ministry of Education and Research (BmBF) and consists of partners from the automotive industry, medium-sized companies and research institutions. Within the framework of the project, the cooperation partners are jointly researching aspects of "information security and autonomous driving".
Due to the continuous development of modern vehicles, more and more sensors and data processing systems are being used. The additional information thus gained can help drivers to correctly assess their current situation. Based on the sensor information, vehicles can also actively control the vehicle by means of driver assistance systems. This makes it possible for modern vehicles to automatically detect and maintain a lane, maintain a safety gap or automatically park. This does not only make driving easier but also safer for passengers. With the help of assistance systems accidents can not only be avoided but the severity of the still occurring accidents can be greatly reduced.
As with all information processing systems, security is also a not to be neglected in the vehicular domain. Particularly with regard to driver assistance systems, and in the future also for automated driving, the intervention in the driving control system creates a interdependency of security and safety.
Within the framework of SecForCARs, the partners are jointly investigating the weaknesses and vulnerabilities of modern vehicles and develop a security architecture as well as tools and test methodologies to incorporate both safety and security into the future development process. In addition, security mechanisms are being developed on the basis of the weak-point analysis in order to detect and ward off attacks against the vehicle from inside and outside.
The research focus of the IBR are secure and trustworthy distributed sensor systems of networked, cooperating vehicles. The cooperation of vehicles via Vehicle 2 Vehicle (V2V) communication offers great opportunities for increasing the efficiency of road traffic and improving functional safety. Examples of current research topics include Collective Perception, in which vehicles exchange detected objects in order to extend their respective perception range beyond their sensors physical capabilities. This allows potentially dangerous situations to be detected and avoided at an early stage.
Another concept is platooning, where vehicles with similar routes come together and form a convoy. The special feature is that they also periodically broadcast their kinematic data. This additional information makes it possible for vehicles to reduce the safety gap to the vehicle in front without increasing the risk of rear-end collisions. Thus, the road use efficiency can be increased and the energy demand reduced.
| Name | Phone | Room | |
|---|---|---|---|
| Dr. Keno Garlichs | garlichs[[at]]ibr.cs.tu-bs.de | ||
| Alexander Willecke | willecke[[at]]ibr.cs.tu-bs.de | +49-531-3913264 | 115 |
| Caglar Kaya | |||
| Prof. Dr.-Ing. Lars Wolf | wolf[[at]]ibr.cs.tu-bs.de | +49-531-3913288 | 138 |
| Title | Type | Supervisor | Status |
|---|---|---|---|
| Trust and Reputation in Dynamic Platoons | Master Thesis | Dr. Keno Garlichs, Martin Wegner | finished 2018 |
| Extending Parking Communities with RSUs as a Trusted Member | Master Thesis | Dr. Keno Garlichs | finished 2019 |
| Camera-based Tracking for Wireless Slot Cars | Project Thesis | Dr. Keno Garlichs, Alexander Willecke | finished 2020 |
| Wireless Slot Cars | Project Thesis | Alexander Willecke, Dr. Keno Garlichs | finished 2020 |
| Misbehavior Detection for Platooning | Project Thesis | Alexander Willecke, Dr. Keno Garlichs | finished |
if you are interested in writing a thesis regarding this project, please feel free to contact Dr. Keno Garlichs, or Alexander Willecke.