Validation and Visualization of Vehicle Data

Validation and Visualization of Vehicle Data


Industry:

Automotive

Challenge:

To convert massive data streams into actionable insights for refining intelligent systems, cameras, and AI models during live test scenarios.

Outcome:

The vResolv.io team’s efforts culminated in a solution which embodied efficiency, scalability, and versatility.

DEVELOPING THE STRATEGY

vResolv.io adapted its strategy in order to develop a system capable of of instantaneous logging, analysis and triggering of real-time alarms for test drivers. The solution was also required to illuminate the car’s intelligent system’s decisions and detections dynamically and in real-time.

​Challenge #1

Managing complex sensor data decoding from various automotive buses like CAN, LIN, FlexRay, and handling communication protocols such as SOME/IP, ensuring synchronization across diverse data streams.

Challenge #2

Addressing CMake and C++ issues, and establishing a seamless Continuous Integration/Continuous Deployment (CI/CD) pipeline via Jenkins to accelerate the development lifecycle

Challenge #3

Decoding intricate network protocols like SOME/IP and tackling the complexities associated with segmented messages.

Challenge #4

Addressing the learning curve associated with complex tech stacks owing to multiple factors.

THE SOLUTION