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One of the top World global automotive suppliers
Scaling internal IT department
The AUTO UNION Group is among the Top-40 automotive parts suppliers in the world with over a hundred years of development and manufacturing or lighting and electronic components. With over 7 billion Euro in sales in fiscal year 2017/2018 and 40,000+ staff member spread across 35 countries, AUTO UNION is at the frontier of research and development. The company engineers electronic solutions that increase energy efficiency, minimize CO2 emissions and enhance driver and passenger safety and comfort.
Since the client’s primary expertise lies with hardware development, testing, and manufacturing, Computools experts were invited to join the distributed team working on an Artificial Intelligence component for an autonomous-driving system. Computools software engineers helped establish and train an AI system to increase the fidelity of pedestrian detection.
Inefficient technology stack choices for Autonomous driving system’s database and Front End
Demanding development schedule with limited time for internal IT department scaling
Overcomplicated Front End features that hinder system performance
Market-leading manufacturer with strong global demand for its products
Hardware and software development fusion to ensure stable and safe autonomous driving capabilities
Culture of consistent investment in innovation aimed at consolidating market positions
Structured programming approach that enhances development clarity and quality
The AUTO UNION Group experts performed Business Process Mapping. The existing Autonomous driving system required a major upgrading to ensure a necessary pedestrian detection fidelity level. Computools engineers received a detailed system requirements specification with a list of functional and non-functional features to be implemented in the course of AI-based system development.
Upon business process modelling analysis, Computools experts identified the critical weaknesses within the existing system and suggested architecture improvements and an alternative technology stack. The approved development strategy ensured seamless performance of the Autonomous driving system software upgrade.
To meet the tight timeline, Computools experts designed a fast-paced development plan. The majority of large-scale architecture planning was performed on the client’s side, with our engineers providing technology-specific insight and expertise. The project’s timely implementation was the product of cohesive efforts of the in-house and outstaffing specialists.
CouchDB enables fast data indexing and retrieval, while the changes feed provides updates. The use of JSON-based document format accommodates a variety of languages that come with multiple libraries. CouchDB is suited for a large and complex application, as is the case with Autonomous driving system for AUTO UNION, as the database is flexible and scalable.
To support video upload and cutting for Autonomous driving system, Computools engineers implemented an open source message broker. RabbitMQ supports a variety of messaging protocols and enables reliable asynchronous processing and flexible routing through exchanges before the messages arrive at queues. The RabbitMQ’s tracing feature is invaluable during development and debugging, as it allows software engineers to locate problems and errors.
Microsoft Azure is the top choice for enterprise-level cloud computing service. Beside speed and agility, this solution ensures data security and superior recovery in case of unpredictable failures. Unlike other cloud services, like AWS, Microsoft Azure enables a hybrid environment that balances control and flexibility of a combined on-site and cloud infrastructure.
Autonomous driving system relies, among other sensors, on video input that needs to be processed quickly and reliably to ensure a high fidelity of pedestrian and obstacle detection. Computools software engineers suggested the implementation of the open source FFMpeg encoder. This solution secured high-performance handling of all video and audio file formats without the need for codecs.
Computools specialists assisted the AUTO UNION Group in-house IT department in identifying the functional and non-functional requirements for an upgraded Autonomous driving system. Our engineers’ technological expertise coupled with the client’s experience in automotive electronics software development enabled the distributed team to map out the project’s implementation timeline.
To satisfy the client’s demand for technological expertise with AI-powered systems, as well as CouchDB, Docker, and MicrosoftAzure, Computools screened the talent pool and suggested a number of experienced software engineers and QA specialists to join the distributed team.
To keep the development on schedule, Computools software engineers rely on an established communication framework. Routine meetings, interspersed with brainstorming and feedback sessions keep all members of the distributed team in the loop, enhance understanding, and accelerate development.
To ensure transparent communication and understanding among the members of the distributed team, Computools applied an established communication framework. Tasks were assigned with Jira, Email was used to deliver status reports and updates, while daily meetings were held via Skype video and audio.
The Scrum approach was chosen for this project to secure fast-paced development and cohesive collaboration across the international distributed team. Daily scrums were held to assess the development progress and address arising challenges. Scrum Master assigned tasks, tracked their progress and managed resources through Jira while Computools’ Project Manager enabled seamless communication and strict schedule adherence by our software engineers.
Sprint-planning sessions ensured continuous delivery of the project. For each task assigned through Jira, Computools engineers created an individual feature branch. Upon successful code review by the Team Lead, the branches were merged into Dev. QA engineers performed automatic and manual testing before the build process. This approach ensured the project was stable and error-free and complied with the client’s requirement specification.
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As a part of an international distributed team, Computools engineers used their expertise to upgrade the AI-powered Autonomous driving system and ensure the precision of obstacle-detection software. As a result of our collaboration, AUTO UNION Group achieved the outset development objectives:
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