TEDIndia 2009
Lalitesh Katragadda: Making maps to fight disaster, build economies
Lalitesh Katragadda: 制作地图，占胜灾难，发达经济
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截止到2005年，全世界只有15%的区域有精确的地图。这使得灾后救助缓慢，而不明的地形和道路也使得经济无法发达。在这个简短的演说里，Google 的 Lalitesh Katragadda 展示了 Map Maker, 一个多人使用的地图创作软件，使世界各地的人都能够帮忙标示地图。
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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2008年Nargis台风袭击了缅甸
00:21
Millions of people were in severe need of help.
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数百万人急需帮助
00:25
The U.N. wanted to rush people and supplies to the area.
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联合国想调度人员、物资进入灾区
00:29
But there were no maps, no maps of roads,
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但是标明灾区道路的地图并不存在
00:32
no maps showing hospitals, no way for help to reach the cyclone victims.
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地图上也没有标示医院，因此无法帮助台风受害的民众。
00:37
When we look at a map of Los Angeles or London,
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当我们看洛杉矶，伦敦的地图时
00:40
it is hard to believe
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让人难以置信的是
00:43
that as of 2005, only 15 percent of the world
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截止到2005年全世界只有15%的地方
00:46
was mapped to a geo-codable level of detail.
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有精确地图可供地理软件使用
00:49
The U.N. ran headfirst into a problem
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联合国跟世界大部分的人们
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that the majority of the world's populous faces:
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遭遇到一样的问题：
00:54
not having detailed maps.
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没有详细的地图。
00:56
But help was coming.
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幸好援助来了
00:58
At Google, 40 volunteers
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在谷歌有40个志愿者
01:00
used a new software
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用一个软件
01:03
to map 120,000 kilometers of roads,
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标示了120,000公里的路
01:06
3,000 hospitals, logistics and relief points.
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3000个医院，运输和救援中心
01:09
And it took them four days.
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他们一共花了四天
01:11
The new software they used? Google Mapmaker.
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他们用的软件？叫Google Mapmaker （地图创作家）
01:14
Google Mapmaker is a technology that empowers each of us
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Google Mapmaker 是一个允许我们
01:17
to map what we know locally.
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标注我们地方讯息的科技
01:20
People have used this software
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人们使用这套软件
01:22
to map everything from roads to rivers,
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在地图上标注了道路，河流
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from schools to local businesses,
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学校，地方企业
01:27
and video stores to the corner store.
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电影出租店到街角的商店。
01:30
Maps matter.
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地图很重要
01:32
Nobel Prize nominee Hernando De Soto
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诺贝尔奖被提名人Hernamdo De Soto认为
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recognized that the key to economic liftoff
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发展那些大量未被开发的土地
01:36
for most developing countries
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对发展中国家的经济跃进
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is to tap the vast amounts of uncapitalized land.
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起着关键性的作用。
01:41
For example, a trillion dollars
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举例来说，光在印度
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of real estate remains uncapitalized in India alone.
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还有三兆美元价值的不动产没被发展。
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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在170个国家数千个使用者
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have mapped millions of pieces of information,
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在地图上加上了数百万笔的讯息
01:56
and created a map of a level of detail never thought viable.
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创造了前所未有的精确度
01:59
And this was made possible by
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这都要感谢世界各地热情的使用者
02:01
the power of passionate users everywhere.
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使这一切变为可能。
02:05
Let's look at some of the maps
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现在让我们看一看
02:08
being created by users right now.
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这些使用者标注地图的情况：
02:11
So, as we speak, people are mapping the world
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就在我们在这里演说的同时
02:13
in these 170 countries.
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有170个国家的人在标示地图
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在标示赛内加尔的道路
02:21
And, closer to home, Chalua, an N.G. road in Bangalore.
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离这近一点的Chulua在标示班加罗尔的NG路
02:26
This is the result of computational geometry,
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这是综合了计算机地理
02:29
gesture recognition, and machine learning.
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动作识别，机器学习的结果
02:32
This is a victory of thousands of users,
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这是分布在数百个城市
02:34
in hundreds of cities,
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数千个使用者的胜利
02:36
one user, one edit at a time.
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一个使用者，一次编辑一个讯息
02:38
This is an invitation to the 70 percent
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这也是对全球那70%还没标注地图
02:42
of our unmapped planet.
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的地区的邀请
02:44
Welcome to the new world.
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欢迎来到新世界
02:46
(Applause)
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（掌声）
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