TEDIndia 2009
Lalitesh Katragadda: Making maps to fight disaster, build economies
Lalitesh Katragadda : 建立地圖，對抗疾病，建設經濟
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在2005年全世界只有15%地區的地圖達到可電子化的精確度。這阻礙了災後的救難，荒置地區和道路的經濟發展潛能。在這個簡短的談話中，Google的Latitesh Katragadda 展示了 Mapmaker, 一個允許全球各地使用者共同標註地圖的軟體。
Lalitesh Katragadda - Engineer
Lalitesh Katragadda builds tools that help groups of people compile information to build something greater than the sum of its parts. His latest fascination: collaborative maps. Full bio
Lalitesh Katragadda builds tools that help groups of people compile information to build something greater than the sum of its parts. His latest fascination: collaborative maps. Full bio
Double-click the English transcript below to play the video.
00:16
In 2008, Cyclone Nargis devastated Myanmar.
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在2008年，Nargis颱風侵襲了緬甸
00:21
Millions of people were in severe need of help.
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造成數百萬人急需救助
00:25
The U.N. wanted to rush people and supplies to the area.
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聯合國想要運送人員物資進災區
00:29
But there were no maps, no maps of roads,
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但是沒有標示道路的地圖
00:32
no maps showing hospitals, no way for help to reach the cyclone victims.
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標示醫院的地圖也沒有，以致無法幫助受災民衆。
00:37
When we look at a map of Los Angeles or London,
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當我們看看洛杉磯，倫敦的地圖時
00:40
it is hard to believe
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你很難去相信
00:43
that as of 2005, only 15 percent of the world
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到2005年全世界只有15%的地區的地圖
00:46
was mapped to a geo-codable level of detail.
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達到可數位化的精確度
00:49
The U.N. ran headfirst into a problem
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聯合國跟世界大部分的居民
00:52
that the majority of the world's populous faces:
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遭遇到同樣的問題：
00:54
not having detailed maps.
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沒有夠詳盡的地圖。
00:56
But help was coming.
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但是救兵來了
00:58
At Google, 40 volunteers
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在Google 有40位志願者
01:00
used a new software
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使用了一套軟體
01:03
to map 120,000 kilometers of roads,
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標註了12萬公里的道路
01:06
3,000 hospitals, logistics and relief points.
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3000間醫院，運輸和救護站
01:09
And it took them four days.
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他們一共花了四天的時間
01:11
The new software they used? Google Mapmaker.
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他們使用的軟體？叫做Google Mapmaker
01:14
Google Mapmaker is a technology that empowers each of us
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Google Mapmaker 是一個允許我們
01:17
to map what we know locally.
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標註在地資訊的科技
01:20
People have used this software
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人們使用這套軟體
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to map everything from roads to rivers,
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標註了道路，河流
01:24
from schools to local businesses,
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學校，當地企業
01:27
and video stores to the corner store.
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錄影帶出租店，到轉角的便利商店
01:30
Maps matter.
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地圖很重要
01:32
Nobel Prize nominee Hernando De Soto
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諾貝爾獎被提名人Hermando De Soto
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recognized that the key to economic liftoff
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認爲開發中國家要發展經濟
01:36
for most developing countries
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最重要的關鍵是
01:38
is to tap the vast amounts of uncapitalized land.
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去掌握大量未清查的土地
01:41
For example, a trillion dollars
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舉例來説，光在印度就有
01:44
of real estate remains uncapitalized in India alone.
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價值一兆美元的土地沒被列入控管
01:47
In the last year alone,
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光在去年
01:49
thousands of users in 170 countries
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170個國家數千個使用者
01:53
have mapped millions of pieces of information,
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就標註了幾百萬筆資訊
01:56
and created a map of a level of detail never thought viable.
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並創造了前所未有的精確度
01:59
And this was made possible by
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這項任務得以實現
02:01
the power of passionate users everywhere.
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要歸功於全球各地熱情的使用者
02:05
Let's look at some of the maps
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現在讓我們來看看
02:08
being created by users right now.
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使用者標註地圖的實況。
02:11
So, as we speak, people are mapping the world
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我們在此演説的同時
02:13
in these 170 countries.
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170 個國家的人也在標註地圖
02:15
You can see Bridget in Africa who just mapped a road in Senegal.
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你可以看到在非洲的Bridget 剛為塞内加爾標註了一條道路
02:21
And, closer to home, Chalua, an N.G. road in Bangalore.
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離這裡近一點，Chulua 剛為Bangalore 標註了NG路
02:26
This is the result of computational geometry,
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這是融合了計算機幾何學
02:29
gesture recognition, and machine learning.
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動作識別和機器學習的結果
02:32
This is a victory of thousands of users,
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這也是在數百個城市裏
02:34
in hundreds of cities,
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數千個使用者的勝利
02:36
one user, one edit at a time.
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一個使用者一次編輯一筆資訊
02:38
This is an invitation to the 70 percent
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這也是對70%未被涵蓋區域的居民
02:42
of our unmapped planet.
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的一個邀請：
02:44
Welcome to the new world.
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歡迎來到嶄新的世界。
02:46
(Applause)
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（掌聲）
ABOUT THE SPEAKER
Lalitesh Katragadda - EngineerLalitesh Katragadda builds tools that help groups of people compile information to build something greater than the sum of its parts. His latest fascination: collaborative maps.
Why you should listen
Lalitesh Katragadda is a software engineer at Google, working on geo-data, machine vision, machine learning and space robotics. Before joining Google, Lalitesh founded a robotics startup that was acquired by Google. At Google, Lalitesh co-founded Google India and was its founding Joint Center Head for two years. He co-started several projects including Google Finance and Hindi Transliteration, and is now working on maps.
Lalitesh Katragadda | Speaker | TED.com