IoT & autonomous driving
The challenge
Automated driving, particularly at SAE levels 3 to 5, requires that vehicles can perceive their surroundings, interpret situations, make rapid decisions, and perform maneuvers without constant human supervision. For these systems to function safely, they must be validated across a very broad spectrum of possible scenarios, including rare and safety-critical edge cases. The need for continuous, data-driven, and scenario-based validation is essential.
A framework was needed in which validation is not understood as a one-time step before market launch, but as an ongoing process embedded in continuous software integration and deployment. It should enable real driving data, collected both in the field and in controlled tests, to be fed into validation pipelines where they can be structured, analyzed, and used for safety assessments.
As part of the recently completed project Real Drive Validation, research was conducted on how the multitude of different vehicle data can be standardized, harmonized, and efficiently transmitted. This includes both low-bandwidth signals such as OBD-II parameters and high-bandwidth data streams such as video data, object lists from perception systems, or lidar point clouds.
Our solution
In the context of this research project, the subproject TelTaKo-S, led by our team, plays a key role. TelTaKo-S is a middleware concept for telematics and data management. The subproject specifically investigates the environmental and technical prerequisites that allow these data to be transmitted to cloud platforms in real time, processed consistently, and made usable for operators, engineers, and validation systems. Without such middleware, the integration of heterogeneous vehicle data into validation processes would be practically unfeasible.
Our agile team evaluated and developed concepts for unified data preparation, for various communication approaches in data transmission, and for the modular overall architecture of TelTaKo-S. Our expertise in developing server-based systems with modern web interfaces enabled us to implement the integration of various IoT devices as data sources (e.g., ANavS, FLEA Box) from the vehicle. From interpreting transmitted OBDII data to video streaming from the vehicle, various use cases were successfully realized.
Overview of a vehicle’s external communication interfaces
Benefits for our customers
The developed system is platform-independent and can therefore be operated in any cloud environment (Microsoft Azure, Amazon AWS, Google Cloud). Thanks to the modern web interface, operation is efficient for both technical staff and management.
The integration of customer-specific end devices is easily possible thanks to standardized methods and supports a wide range of IoT devices. New functions can be integrated into the modular architecture upon customer request. Interfaces to other systems support the integration into our customers’ system landscape.
As middleware, TelTaKo-S enables location-independent real-time access to vehicle data – whether in the office or on the go.
Tech stack and methodology expertise
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