Implementing ODD as single point of knowledge to support the development of automated driving
Daniel Rohne, Andreas Richter, Edward Schwalb
Abstract
For a specified operational design domain (ODD) automated driving systems (ADS) will be capable to take over the complete driving task. The vast number of environmental conditions that ADS needs to handle must be systematically integrated into the development process. We present in this paper our approach to solve this integration using the ODD as single point of knowledge. The paper covers: 1) Requirement analysis of the need for ODD data in subsequent development processes. 2) Description of the modelling approach for an ODD implementation. 3) Providing an ODD toolchain covering the functional needs of multiple organization units. 4) Present a method for validating defined ODD against measurement data. We tested our concept by using the toolchain on sample data to create and compare ODD. Our results suggest using this framework supports a more adequate requirement definition and scenario generation.