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Driving Compliance and Navigating Safety Standards
In early 2019, intive competed against major suppliers to develop a generic algorithm for driver monitoring that could be used in different platforms within the cars of a leading OEM. The challenge was clear: ensure compliance with Regulation (EU) 2019/2144 while retaining control over the development process. intive's longstanding partnership and proven track record in attention and drowsiness systems spanning 9 years as of 2019 made it the ideal choice for the leading OEM to partner with and initiate a new project. Since then, intive has been instrumental in guiding the OEM towards compliance, leveraging its expertise to meet regulatory requirements effectively.
As the project progressed, the size of intive team was adjusted according to the needs of a given phase. The team started with 11 people in 2019 and increased to 60 FTEs by 2022. Only with this large and agile team was it possible to achieve the integration of a driver monitoring system into different car platforms.
In more than 60 sprints, the team developed a unique algorithm that they integrated into different AUTOSAR Software Components. In parallel, intive developed an offline, online, and cloud simulation environment to test the software outside the normal context of vehicle use. Developing measurement equipment and toolchains enabled the record and analysis of relevant driver and vehicle data during the development phase. To achieve optimal results, intive ensured that the SW-Development was done according to Automotive SPICE and used the C programming language for Classic AUTOSAR Handcoded Development. Additionally, a systematic analysis and selection of the tool infrastructure played a crucial role in establishing a robust and proven development infrastructure.
Requirements Clarification
Model-Based Development
C Code Development
SiL Testing
HiL Testing
Drive Data Analysis
Developing Measurement Equipment
Throughout the project, intive consistently met the challenging timeline of the Vehicle General Safety Regulation (GSR), working closely with the customer to achieve homologation milestones. The project timeline was crucial to ensure that the customer could sell their cars as planned, and intive successfully met the deadlines, allowing for uninterrupted production on the client's end.
Moreover, intive's work was compliant with the EURO NCAP Vision Zero Statement Roadmap 2025, China NCAP, China Insurance Automobile Safety Index (C-IASI), as well as GB/T Standards. Additionally, the development process was conducted in strict accordance with A-SPiCE requirements (Automotive Software Process Improvement and Capability Determination), guaranteeing the highest quality of embedded automotive software development.
As the level of attention and drowsiness is a personal feeling, attempting to measure it can seem impossible without clear variables. intive approached this task by leveraging its years of experience, which proved to be crucial throughout the entire process. Previous verification projects enabled the team to gather the necessary know-how in the domain of driver monitoring. Analyzing terabytes of test drive data helped the team interpret the most important signals accurately and in the right way.
intive’s highly automated and optimized tools enabled the team to manage a variety of complex data and generate additional value for the leading OEM. The data mining in the predevelopment phase allowed the team to establish classifiers for drowsiness and attention loss detection.
Indirect recognition like the analysis of the steering behavior of the driver and their following of the road lines served as a basis to develop the correct application algorithm and distinguish fatigue, drowsiness, and distraction symptoms. Additionally, threat detection was possible with or without a driver monitoring camera and was supported by the existing vehicle sensor-set. Once the system identified a tired driver, it emitted visual and acoustic HMI warnings to ensure safety.
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