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190330Mapillary_Meetup_Nara

 190330Mapillary_Meetup_Nara

* 瀬戸寿一 (2019年3月): Mapillaryを支えるデータ&アルゴリズム&チャレンジ、Mapillary Meetup 2019 Nara, Kansai、奈良女子大学、奈良県奈良市、2019年3月30日。

Toshikazu SETO

March 30, 2019
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    •Road markings: increased from 6 classes to 21 classes including speed limits and direction arrows, which are essential classes for building navigation and HD maps. •Driveway: a new class that we’ve introduced to help enhance data extraction for last-mile •Barriers: increased from 6 to 11 classes. Detailed refinement of the barrier classes is the first step to enhance the perception capacity for autonomous driving under different scenarios. •Signages: the billboard class is now refined to advertisement, storefront, and general information signages. This facilitates automatic and in-depth location-aware data extraction for marketing, business, and point-of-interest analysis. •Traffic light states: dynamic properties are associated with static objects. In this case, we have refined 100K traffic light annotations with different state
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