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News, Analysis & Perspective on Autonomous Vehicles

ASAM establishes open data labeling standard

To enable automated driving, a vehicle must be able to perceive its environment and process the data it collects. Machine-learning techniques are typically used for this purpose. The training of algorithms requires high-quality annotated data to ensure reliable functioning. Core challenges include the large volumes of data that are required and their unambiguous labeling so that data can be reused and shared, and results reproduced. Some organizations already offer open databases and make data sets available to the industry. However, they usually use their own taxonomies, formats and data models, making it difficult to share and reuse the data.

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