aiMotive releases data-driven pipeline for autonomous vehicle development

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Autonomous driving technology developer aiMotive has announced the latest addition to its product portfolio, aiData, which it says is an integrated, cost-efficient, data-driven pipeline for automated driving. The tool had been used for several years as an in-house development tool and will now be available to selected partners and customers.

Highlighting some of the key challenges when it comes to handling data in autonomous driving applications, aiMotive notes that one not only has to meet technical prerequisites (such as calibration and synchronization) but also has to deal with the fact that more than 95% of the collected data will be unwanted surplus, unless subject to additional quality improvement.

The company also notes that manual annotation of data is incredibly expensive, while complex AI-based higher-level AD features need a vast amount of training data under various operational domains; and that efficiently harvesting, storing, managing and using vast amounts of data is key, but traceability is also fundamental to safe software development and maintenance – neither is an easy task to manage.

The company states that aiData has all the answers to these challenges. It can efficiently and automatically collect, process and query multisensory data for deep neural network-based product development. It also contains various proprietary tools that can reduce the complexity of processing data with a high level of automation while ensuring the traceability required for automotive software development.

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Lawrence has been covering engineering subjects – with a focus on motorsport technology – since 2007 and has edited and contributed to a variety of international titles. Currently, he oversees Automotive Powertrain Technology International and Professional Motorsport World magazines as editor.

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