Traffic signs are a key feature for navigating and managing traffic safely, affecting all of us on a daily basis. However, traffic sign datasets are lacking on open government data portals as well as OpenStreetMap (OSM).
In this talk, we will cover Mapillary’s traffic sign extraction capabilities, Mapillary generated traffic sign data against ground truth data and OSM’s traffic sign coverage in San Francisco’s downtown. We will be also addressing how data quality can be improved using various data collection techniques and the role of post-processing with Structure from Motion and control points annotations.
Speakers
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Previous talkMapping sidewalks and street furniture with artificial intelligence and computer vision
Recent advances in artificial intelligence (AI) and computer vision have enabled detailed mapping of urban spaces at scale using street-level imagery data. In this talk, we present an end-to-end process of mapping...
