Path following controller for autonomous vehicles In recent years vehicles with high level of automation are becoming more popular which is expected to continue in the future. Advanced driving assistance systems are increasingly taking control of the vehicle, starting with the support of the driving task. Automated or highly automated vehicles are expected to follow a planned road safely. In this paper, the authors aim to improve the accuracy of path following by developing a new control strategy. The controller includes both pure pursuit and Stanley methods, the operation of the controller is based on the geometry of the vehicle and the path; the key is the proper weighting between two controllers. The performance of the combined path following controller was measured on a demonstration vehicle.

Development of a Navigation Algorithm for Optimal Path Planning for Autonomous Electric Vehicles There are many different driver assistance systems that help the driver controlling their vehicle. These systems do not have full control of the car; however, there are more and more systems in development that take over individual driving functions completely. We are working towards a fully autonomous future. The goal is not only to transport people to their desired destination, but to make commuting on roads safer. Navigation is one of the essential tasks of autonomous driving. The software must independently calculate a route from its current location to the destination. If the vehicle is not guided precisely through the road network, it can never reach that destination. To cope with the problem, the data of the road network must be available to the vehicle. Based on this data, the vehicle must be able to calculate a route to its destination. This paper deals with the development of a navigation algorithm, for optimal path planning, within the framework of an industrial project. The various requirements for the realization of a navigation system are listed. Solution strategies of such systems are identified and compared. Based on this, approaches for solving the task are developed and implemented.