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,, /3 12 / 0 - 01 2C S Y 2 4 4 8810 a 1 4 690 kmM C2A B:

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,, /3 12 / 0 https://mapillary.github.io/mapillary_greenhouse/global-challenge/q2-2018/ Score = (total unique KM contributed + (images/1000)) * (1 + (count of local participants/10))

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/, 04 23/ 0 1 , # https://mapillary.github.io/mapillary_greenhouse/

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/, 0 23/ 0 1 , 8 https://www.johnscreekga.gov/NewsAndEvents/News-Archive/2017- News/Complete-the-Map-residents-can-participate-in-str

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, /11, 9 7 , , ,2 ,/ • 0 er , /11, 9p • ,2/ ,7/32 nMo e k e M , /11, 9 u M TM i • O N t Kg y lz sa https://blog.mapillary.com/update/2018/01/26/youth-citizen-engagement-school-routes-reporting.html

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/, 0 23/ 0 1 , Mapillary images are available under the Creative Commons Attribution-ShareAlike 4.0 (CC BY-SA 4.0)

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,, /3 12 / 0 http://openaccess.thecvf.com/content_ICCV_2017/papers/Neuhold_The_Mapillary_Vi stas_ICCV_2017_paper.pdf

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,, /3 12 / 0 1 5 2 9 8 9 4 9 201 The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes doi: 10.1109/ICCV.2017.534

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/, 04 23/ 0 1 , - - - - ( - ( - - ) https://research.mapillary.com/lsun.html

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/, 0 23/ 0 1 , 0 2 1 , •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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/, 0 23/ 0 1 , http://www.robustvision.net/

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/, 0 23/ 0 1 , https://blog.mapillary.com/update/2018/06/14/robust-cv.html

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/, 0 23/ 0 1 , http://www.wilddash.cc/benchmark/resultsvis_rob18_sem?hc=semantic_rob

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,, /3 12 / 0 ( 2 0 2 9 • 3 CDo C yz p s j g • u e Waf b 1 2 2 c lnPviM DP O P z M t r M DP https://blog.mapillary.com/update/2019/02/13/announcing-capture-projects.html

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,, /3 12 / 0 Mapillary Vistas Dataset 25,000 & 152 https://research.mapillary.com/

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,, /3 12 / 0 PD Tn • clu a Pn T R ie • y r PD T p o Ny m I A NI s • N C t Iy SV hI c l Gy g T AM n https://blog.mapillary.com/update/2019/03/12/toyota-research-institute-and-mapillary.html

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,, /3 12 / 0 ! : 2 7 : ey Eic n • b MP [r n W • nj M EN ] [ac g • : / O V :3 7 7 ft eoMp lso https://blog.mapillary.com/update/2019/03/27/announcing-verification-projects.html

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/, 04 23/ 0 1 , Thank you! [email protected] http://researchmap.jp/tosseto https://speakerdeck.com/tosseto