HALC

Problem definition

Automated driving (AD) of commercial vehicles is a possible technical contribution to increasing road safety and relieving the burden on professional drivers in daily traffic as well as coping with the future shortage of drivers in Germany.

Project objective

The aim of the project is the investigation, development and introduction of functions for integrated longitudinal and lateral guidance for automated driving, especially for heavy and medium-sized commercial vehicles.

Implementation

At the beginning of the project, use cases are derived on the basis of an analysis of current accident situations on federal highways, which take into account various requirements for professional drivers. These are then transferred into a driver model. At the same time, an environment model is to be developed that combines the information from several sensors for lane and object detection for lane following and lane changing as well as for detecting other vehicles in adjacent lanes. For this purpose, a new type of data fusion and evaluation must be researched which, as an environment model, forms the basis for automated lateral and longitudinal guidance for commercial vehicles.

In addition to the technological-functional evolution, the degree of novelty results from the human-centered development process used, involving end customers and end users during development and the final field test in real operation lasting several months.

Contact: Michael Jänsch