Ontology based Scene Creation for the Development of Automated Vehicles

The introduction of automated vehicles without permanent human supervision demands a functional system description, including functional system boundaries and a comprehensive safety analysis. These inputs to the technical development can be identified and analyzed by a scenario-based approach. Furthermore, to establish an economical test and release process, a large number of scenarios must be identified to obtain meaningful test results. Experts are doing well to identify scenarios that are difficult to handle or unlikely to happen. However, experts are unlikely to identify all scenarios possible based on the knowledge they have on hand. Expert knowledge modeled for computer aided processing may help for the purpose of providing a wide range of scenarios. This contribution reviews ontologies as knowledge-based systems in the field of automated vehicles, and proposes a generation of traffic scenes in natural language as a basis for a scenario creation.Comment: Accepted at the 2018 IEEE Intelligent Vehicles Symposium, 8 pages, 10 figure

Usage and acceptance of drone technology in healthcare : exploring patients and physicians perspective

Modern technologies such as virtual reality, robots or drones are getting more and more important for organizations. Accordingly, the question arises in which industries these technologies can make a difference. This paper examines the use of drones in Swiss hospitals. A literature review is conducted outlining the most relevant flied of application for drone usage in healthcare. These use cases are then qualitatively rated by employees and patients of hospitals from different regions in Switzerland. Among others, the analysis revealed that employees and patients have strong concerns about drone usage in the hospital environment in the case drones provide diagnosis capabilities, but show less doubts if drones are used for delivery processes

Towards Efficient Hazard Identification in the Concept Phase of Driverless Vehicle Development

The complex functional structure of driverless vehicles induces a multitude of potential malfunctions. Established approaches for a systematic hazard identification generate individual potentially hazardous scenarios for each identified malfunction. This leads to inefficiencies in a purely expert-based hazard analysis process, as each of the many scenarios has to be examined individually. In this contribution, we propose an adaptation of the strategy for hazard identification for the development of automated vehicles. Instead of focusing on malfunctions, we base our process on deviations from desired vehicle behavior in selected operational scenarios analyzed in the concept phase. By evaluating externally observable deviations from a desired behavior, we encapsulate individual malfunctions and reduce the amount of generated potentially hazardous scenarios. After introducing our hazard identification strategy, we illustrate its application on one of the operational scenarios used in the research project UNICAR$agil$.Comment: Published in 2020 IEEE Intelligent Vehicles Symposium (IV), Las Vegas, NV, USA, October 19-November 13, 202

Functional Safety Concept Generation within the Process of Preliminary Design of Automated Driving Functions at the Example of an Unmanned Protective Vehicle

Structuring the early design phase of automotive systems is an important part of efficient and successful development processes. Today, safety considerations (e.g., the safety life cycle of ISO 26262) significantly affect the course of development. Preliminary designs are expressed in functional system architectures, which are required to form safety concepts. Thus, mapping tasks and work products to a reference process during early design stages is an important part of structuring the system development. This contribution describes the systematic creation and notation of the functional safety concept within the concept phase of development of an unmanned protective vehicle within the research project aFAS. Different stages of preliminary design and dependencies between them are displayed by the work products created and used. The full set of functional safety requirements and an excerpt of the safety argument structure of the SAE level 4 application are presented

Risk Assessment of Utilising an Extra-Large Autonomous Underwater Vehicle for Liquid CO2 Transportation

The development of autonomous maritime systems has been proliferating in recent years. One of these systems is a subsea shuttle tanker (SST) concept proposed as a potential alternative to pipelines and tanker ships for liquid CO2 transportation. The SST is an extra-large merchant autonomous underwater vehicle. It travels from onshore facilities, where CO2 is captured and transiently stored, to subsea wells for permanent storage and enhanced oil recovery projects. It is believed that introducing such extra-large AUVs can reduce the occurrence frequency of human-induced accidents. However, the potential accidents related to these vessels are still not detailed identified. Therefore, this work presents the full risk assessment of the SST for liquid CO2 transportation. This work aims to close the gap within the operative context and design characteristics of such autonomous underwater freight vehicles. To do so, a formal safety assessment is performed in accordance with International Maritime Organization standards. First, the most critical information about the SST regarding the risk assessment process is highlighted. Then, the preliminary hazard analysis is implemented to identify hazards and evaluate relevant risks based on the presented baseline SST. Subsequently, systematic hazard identification is used to find critical safety and security risks. Further, corresponding control safety options are addressed for risk mitigation. Finally, generic recommendations for the main design aspects of the SST are provided based on the work results. The presented assessment revealed 90 hazards and relevant scenarios, and the implemented analysis showed that the most prioritised risks are dedicated to human involvement at the stage of mission configuration. It is expected that the results of the performed assessment will be taken into account in further stages of the SST development and may be useful for future unmanned and autonomous marine transportation studies

Local Government Policy and Planning for Unmanned Aerial Systems

This research identifies key state and local government stakeholders in California for drone policy creation and implementation, and describes their perceptions and understanding of drone policy. The investigation assessed stakeholders’ positions, interests, and influence on issues, with the goal of providing potential policy input to achieve successful drone integration in urban environments and within the national airspace of the United States. The research examined regulatory priorities through the use of a two-tiered Stakeholder Analysis Process. The first tier consisted of a detailed survey sent out to over 450 local agencies and jurisdictions in California. The second tier consisted of an in-person focus group to discuss survey results as well as to gain deeper insights into local policymakers’ current concerns. Results from the two tiers of analysis, as well as recommendations, are provided here