Integration Analysis of a Transmission Unit for Automated Driving Vehicles
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The automotive industry has recently invested considerable efforts into increasing a level of automation as well as an ever-tighter integration with other vehicles, traffic infrastructure and cloud services. Novel Advanced Driver Assistance Systems (ADAS) features and Automated Driving Functions (ADF) drive the need for advances and novel engineering solutions (especially with respect to safety and security). However, they are highly relying on existing components developed in the traditional automotive development landscape. Just as safety-related solutions and mindset became common sense in the development phases in the late 20th century, the automotive domain must now consider novel constraints originating from highly automated and distributed driving functionalities. These cannot be supervised by drivers as an integral part of the development of modern vehicles. Unfortunately, there is still a lack of experience with development approaches for automated driving and safety engineering of such automated functionalities which have no driver in the loop for monitoring. In the current transition phase more and more automated driving functions become integrated in conventional vehicles and thus relay on safety components developed in the light of conventional passenger vehicle usage. This paper concentrates on the constraints and additional considerations to be taken into account when developing or integrating existing safety-related components developed for conventional vehicles in the context of highly automated or autonomous vehicles.
KeywordsISO 26262 Automotive HARA Safety analysis Autonomous vehicles SEooC
This work is dedicated to our co-author late Christian Kreiner, who was impressive for many reasons and has been a wonderful teacher, co-worker, leader and friend. You have made working with you an exciting, inspiring and memorable experience. We will always be grateful to you for your support and kindness.
This work is partially supported by the DEIS and GECCO 2 project. The research leading to these results has received funding from the ARTEMIS Joint Undertaking under grant agreement nr 732242 (project DEIS).
Further the authors would like to acknowledge the financial support of the COMET K2 - Competence Centers for Excellent Technologies Programme of the Austrian Federal Ministry for Transport, Innovation and Technology (bmvit), the Austrian Federal Ministry of Science, Research and Economy (bm-wfw), the Austrian Research Promotion Agency (FFG), the Province of Styria and the Styrian Business Promotion Agency (SFG).
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