The automotive industry is at the time of this thesis in a process of change. The development of automated driving is an important part of this transformation. With increasing automation, the perception of the environment is no longer mapped by the driver, but by systems in the vehicle. The law on automated driving in Germany provides a legal basis that regulates how correct driver behavior must be represented by the systems in all situations according to the StVO. The development of assistance systems and automation functions offers various safety potentials through the detection of the environment. The acoustic environment of the vehicle also contains information for the evaluation of the driving situation.That is what the presented work addresses. The aim is to develop a system concept for a machine based detection of acoustic warning signals in traffic. Existing systems and current work in the field as well as the basics required for the development are explained in the chapter state of the art. An analysis and evaluation of this will be used to identify the need for research in this topic area. In addition, requirements are defined that the system concept should fulfill. The focus is on sound detection and classification, acoustic engineering of the system and the development of a suitable sensor unit.First, the sounds and warning signals occurring in road traffic are investigated, analyzed and prioritized. The most relevant signal is selected for further development. The findings are then used to develop suitable system concepts. The entire signal path is taken into account. With the help of detailed investigations of the identified concepts, the configuration with the highest potential is selected for further development. Subsequently, sensor and software concepts are developed and realized on component level, which can be used in the proposed system concept. The requirements due to the integration in the vehicle are taken into account and the effects on the acoustic properties are focused. After a successful verification on com-ponent level, the complete system is integrated and validated in the vehicle. There-by, different algorithms are compared with each other. Following the successful ap-plication for one warning signal, the transferability to other signals will be tested. Finally, the advantages of the developed system compared to existing sensors in the vehicle are presented using an exemplary driving situation.The work is concluded with a discussion of the results and the research questions addressed, as well as an outlook on possible future fields of research. Finally, the potential of the technology in other fields of application is presented.
Maschinelle Erkennung akustischer Warnsignale im Straßenverkehr
Machine based detection of acoustic warning signals in traffic
2024-01-01
1 Online-Ressource : Illustrationen pages
Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2024; Aachen : ika, Schriftenreihe Automobiltechnik 1 Online-Ressource : Illustrationen (2024). = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2024
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German
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