Modular Domain Controller Design Approach: A Key Enabler for ADAS and Automated Driving Functionality
2023-01-0570
04/11/2023
- Event
- Content
- Ensuring the safety of vehicle occupants has always been the primary focus of automakers. To achieve this goal, they have invested in the development of active safety features, which are designed to prevent accidents from occurring in the first place. These innovations are driven by a desire to save lives and reduce the risk of injury or death on the road. The implementation of advanced driver assistance systems (ADAS) and automated driving functions requires a high level of complexity and coordination between various subsystems. To meet these challenges, modular design of the domain controller has emerged as a promising approach. By separating the controller into smaller, specialized modules, it is possible to more efficiently and effectively manage the various functions needed for ADAS and automated driving. In this paper, we present a summary of our research on the use of the modular design approach for the domain controller in the context of implementing ADAS and automated driving end-to-end functions. Testing at different levels is also a key factor in ensuring that the overall system is robust, and all functions perform as intended. We use the Automatic Parking Assist (APA) function as a case study to demonstrate how the APA function was implemented on our developed domain controller and to discuss the benefits of this approach. Through this case study, we provide insight into the potential of the modular design approach for the domain controller to support the development of advanced ADAS and automated driving systems and identify the key considerations that need to be addressed in order to effectively implement this approach, including the importance of testing at different levels
- Pages
- 14
- Citation
- Mansour, I., and Singh, S., "Modular Domain Controller Design Approach: A Key Enabler for ADAS and Automated Driving Functionality," SAE Technical Paper 2023-01-0570, 2023, https://doi.org/10.4271/2023-01-0570.