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Point Cloud Modeling the Alpine Landscape | Christophe Girot | TEDxZurich


I just wanted to explain before we go

I just wanted to explain before we go into this venture what this point while

into this venture what this point while

into this venture what this point while modeling is about we founded seven years

modeling is about we founded seven years

modeling is about we founded seven years ago the ETH together with professor

ago the ETH together with professor

ago the ETH together with professor Greer Egham a laboratory bridging

Greer Egham a laboratory bridging

Greer Egham a laboratory bridging engineering and architecture it was

engineering and architecture it was

engineering and architecture it was supported by the Swiss National Science

supported by the Swiss National Science

supported by the Swiss National Science Foundation and the school board the ETH

Foundation and the school board the ETH

Foundation and the school board the ETH School Board and what happened is that

School Board and what happened is that

School Board and what happened is that we transferred a technology that was

we transferred a technology that was

we transferred a technology that was privy to engineers and surveyors and

privy to engineers and surveyors and

privy to engineers and surveyors and brought it into the realm of modeling

brought it into the realm of modeling

brought it into the realm of modeling and the way we argued with the Swiss

and the way we argued with the Swiss

and the way we argued with the Swiss National Science Foundation is we

National Science Foundation is we

National Science Foundation is we basically said well there’s no such

basically said well there’s no such

basically said well there’s no such thing as a landscape modeling laboratory

thing as a landscape modeling laboratory

thing as a landscape modeling laboratory a DTH but not even in Europe or probably

a DTH but not even in Europe or probably

a DTH but not even in Europe or probably worldwide we’d like to bring this sort

worldwide we’d like to bring this sort

worldwide we’d like to bring this sort of large-scale modeling from the virtual

of large-scale modeling from the virtual

of large-scale modeling from the virtual world into a reality and make it

world into a reality and make it

world into a reality and make it accessible to younger generations of

accessible to younger generations of

accessible to younger generations of researchers and students so that’s

researchers and students so that’s

researchers and students so that’s actually what we did what you’re going

actually what we did what you’re going

actually what we did what you’re going to see is going to require a little bit

to see is going to require a little bit

to see is going to require a little bit of a gymnastic to understand how this

of a gymnastic to understand how this

of a gymnastic to understand how this sort of visualizing occurs but actually

sort of visualizing occurs but actually

sort of visualizing occurs but actually what you’re looking at in this picture

what you’re looking at in this picture

what you’re looking at in this picture is a still picture of a model it’s a

is a still picture of a model it’s a

is a still picture of a model it’s a gigantic digital model showing the

gigantic digital model showing the

gigantic digital model showing the entire Alpine chain ranging north south

entire Alpine chain ranging north south

entire Alpine chain ranging north south over the Guittard

over the Guittard

over the Guittard before we start I think that we should

before we start I think that we should

before we start I think that we should define first what a point cloud is made

define first what a point cloud is made

define first what a point cloud is made of it’s actually made of millions if not

of it’s actually made of millions if not

of it’s actually made of millions if not billions of pixel points the pixel

billions of pixel points the pixel

billions of pixel points the pixel itself is a recent word in the history

itself is a recent word in the history

itself is a recent word in the history of mankind it appeared in 1967 at NASA

of mankind it appeared in 1967 at NASA

of mankind it appeared in 1967 at NASA actually in the Jet Propulsion lab

actually in the Jet Propulsion lab

actually in the Jet Propulsion lab Billingsly when they satellites and and

Billingsly when they satellites and and

Billingsly when they satellites and and spatial missions were sending back

spatial missions were sending back

spatial missions were sending back electronic image to earth and it simply

electronic image to earth and it simply

electronic image to earth and it simply means picture element it’s the smallest

means picture element it’s the smallest

means picture element it’s the smallest unit visible unit on a digital image or

unit visible unit on a digital image or

unit visible unit on a digital image or screen it goes back actually to 19

screen it goes back actually to 19

screen it goes back actually to 19 century theories German person called

century theories German person called

century theories German person called Paul nip cough first talked about a

Paul nip cough first talked about a

Paul nip cough first talked about a built Punk’d the basically that’s what

built Punk’d the basically that’s what

built Punk’d the basically that’s what the entire cloud is made of so what is a

the entire cloud is made of so what is a

the entire cloud is made of so what is a cloud it’s basically a set of points

cloud it’s basically a set of points

cloud it’s basically a set of points that carry information each point

that carry information each point

that carry information each point carries in a way a position relative to

carries in a way a position relative to

carries in a way a position relative to its neighbors and the black space in

its neighbors and the black space in

its neighbors and the black space in between is simply no information and as

between is simply no information and as

between is simply no information and as I said until recently these data sets

I said until recently these data sets

I said until recently these data sets these point clouds were used by very

these point clouds were used by very

these point clouds were used by very serious engineers civil engineers mostly

serious engineers civil engineers mostly

serious engineers civil engineers mostly to draw precise technical plans and

to draw precise technical plans and

to draw precise technical plans and elevations on construction sites like

elevations on construction sites like

elevations on construction sites like dams and other things and the image

dams and other things and the image

dams and other things and the image itself while the model itself was never

itself while the model itself was never

itself while the model itself was never made fully the information was extracted

made fully the information was extracted

made fully the information was extracted and 99% of the point cloud information

and 99% of the point cloud information

and 99% of the point cloud information was thrown away what happened with this

was thrown away what happened with this

was thrown away what happened with this laboratory is we bridged the two fields

laboratory is we bridged the two fields

laboratory is we bridged the two fields engineering and creative architecture

engineering and creative architecture

engineering and creative architecture and kept the entire datasets as they

and kept the entire datasets as they

and kept the entire datasets as they were and started working with these

were and started working with these

were and started working with these unwieldy models that count billions of

unwieldy models that count billions of

unwieldy models that count billions of points basically each point carries the

points basically each point carries the

points basically each point carries the famous GPS coordinates the X Y Z that

famous GPS coordinates the X Y Z that

famous GPS coordinates the X Y Z that assesses slant latitude longitude and

assesses slant latitude longitude and

assesses slant latitude longitude and elevation and you have within this

elevation and you have within this

elevation and you have within this family of point clouds these so-called

family of point clouds these so-called

family of point clouds these so-called control points that anchor the entire

control points that anchor the entire

control points that anchor the entire cloud in precision and we’re talking

cloud in precision and we’re talking

cloud in precision and we’re talking about millimetre in terms of height or

about millimetre in terms of height or

about millimetre in terms of height or width the position is within millimeter

width the position is within millimeter

width the position is within millimeter precision these control points are

precision these control points are

precision these control points are actually riveted to a series of

actually riveted to a series of

actually riveted to a series of satellites that go around the earth and

satellites that go around the earth and

satellites that go around the earth and really give that fixed position the

really give that fixed position the

really give that fixed position the control point also helps to bring

control point also helps to bring

control point also helps to bring different sets we use drones we use

different sets we use drones we use

different sets we use drones we use terrestrial lasers we use lidar mobile

terrestrial lasers we use lidar mobile

terrestrial lasers we use lidar mobile cars that register elements and these

cars that register elements and these

cars that register elements and these control points allow us to bring things

control points allow us to bring things

control points allow us to bring things together so much for the technical

together so much for the technical

together so much for the technical explanation I think the best way to

explanation I think the best way to

explanation I think the best way to explain that is to start again with the

explain that is to start again with the

explain that is to start again with the point within a point cloud so that you

point within a point cloud so that you

point within a point cloud so that you can’t stand the sort of phenomenon that

can’t stand the sort of phenomenon that

can’t stand the sort of phenomenon that I call trance duck

I call trance duck

I call trance duck scale what happens is you can go from a

scale what happens is you can go from a

scale what happens is you can go from a minut scale of an object to the very

minut scale of an object to the very

minut scale of an object to the very broad scale of a territory seeming

broad scale of a territory seeming

broad scale of a territory seeming seamlessly and that’s quite

seamlessly and that’s quite

seamlessly and that’s quite extraordinary so let’s start our journey

extraordinary so let’s start our journey

extraordinary so let’s start our journey here we’re going to see a pixel point

here we’re going to see a pixel point

here we’re going to see a pixel point retracting into the virtual digital

retracting into the virtual digital

retracting into the virtual digital space of the new net tunnel this is

space of the new net tunnel this is

space of the new net tunnel this is actually a data set that was given to us

actually a data set that was given to us

actually a data set that was given to us by the ARP transit of the entire new

by the ARP transit of the entire new

by the ARP transit of the entire new high speed rail tunnel in Switzerland

high speed rail tunnel in Switzerland

high speed rail tunnel in Switzerland the longest in the world and here we’re

the longest in the world and here we’re

the longest in the world and here we’re retracting out of the south portal which

retracting out of the south portal which

retracting out of the south portal which is in BO do very slowly and we’re going

is in BO do very slowly and we’re going

is in BO do very slowly and we’re going to pull out at the scale of an object

to pull out at the scale of an object

to pull out at the scale of an object and as we go up in the air we’re going

and as we go up in the air we’re going

and as we go up in the air we’re going to literally start seeing and this is

to literally start seeing and this is

to literally start seeing and this is all a point cloud data set we’re going

all a point cloud data set we’re going

all a point cloud data set we’re going to start seeing the model in a much

to start seeing the model in a much

to start seeing the model in a much bigger picture of the environment here

bigger picture of the environment here

bigger picture of the environment here you even see raindrops falling on the

you even see raindrops falling on the

you even see raindrops falling on the tunnel entrance

tunnel entrance

tunnel entrance they were scanned the forests the

they were scanned the forests the

they were scanned the forests the mountains adjacent to that etc so what’s

mountains adjacent to that etc so what’s

mountains adjacent to that etc so what’s extraordinary with the point cloud when

extraordinary with the point cloud when

extraordinary with the point cloud when you use it as a general data set is it’s

you use it as a general data set is it’s

you use it as a general data set is it’s a virtual model it’s a still image but

a virtual model it’s a still image but

a virtual model it’s a still image but it has extraordinary precision this is

it has extraordinary precision this is

it has extraordinary precision this is just the section of the model that we’ve

just the section of the model that we’ve

just the section of the model that we’ve been scanning at the eth over the last

been scanning at the eth over the last

been scanning at the eth over the last seven years of the landscape modeling

seven years of the landscape modeling

seven years of the landscape modeling and visualizing laboratory what you see

and visualizing laboratory what you see

and visualizing laboratory what you see this sort of strange little streak on

this sort of strange little streak on

this sort of strange little streak on the upper part of the the plan picture

the upper part of the the plan picture

the upper part of the the plan picture is actually the datasets that we took

is actually the datasets that we took

is actually the datasets that we took they’re embedded in a Swiss topo dataset

they’re embedded in a Swiss topo dataset

they’re embedded in a Swiss topo dataset and what you see underneath is the

and what you see underneath is the

and what you see underneath is the section through the mountains with that

section through the mountains with that

section through the mountains with that high-speed tunnel going through if you

high-speed tunnel going through if you

high-speed tunnel going through if you look at the screen you also see that her

look at the screen you also see that her

look at the screen you also see that her thin line in the middle of the picture

thin line in the middle of the picture

thin line in the middle of the picture which is literally the tunnel that you

which is literally the tunnel that you

which is literally the tunnel that you see in semi-transparency through the

see in semi-transparency through the

see in semi-transparency through the pixel points of the model this is the

pixel points of the model this is the

pixel points of the model this is the tunnel you all know it it’s been very

tunnel you all know it it’s been very

tunnel you all know it it’s been very highly publicized since its inauguration

highly publicized since its inauguration

highly publicized since its inauguration last June it is quite unreal one really

last June it is quite unreal one really

last June it is quite unreal one really doesn’t know where the one is under the

doesn’t know where the one is under the

doesn’t know where the one is under the ocean or under the mountain the

ocean or under the mountain the

ocean or under the mountain the relationship to the landscape has been

relationship to the landscape has been

relationship to the landscape has been in a way lost here and of course when

in a way lost here and of course when

in a way lost here and of course when you look at what has happened with this

you look at what has happened with this

you look at what has happened with this highly technical sort of device

highly technical sort of device

highly technical sort of device is that you can cross the Alps in

is that you can cross the Alps in

is that you can cross the Alps in roughly 20 minutes it used to take two

roughly 20 minutes it used to take two

roughly 20 minutes it used to take two weeks when Goethe went over the Alps and

weeks when Goethe went over the Alps and

weeks when Goethe went over the Alps and basically what you see in gray is the

basically what you see in gray is the

basically what you see in gray is the entire mountain landscape having

entire mountain landscape having

entire mountain landscape having disappeared what’s good though is that

disappeared what’s good though is that

disappeared what’s good though is that the Swiss train company the SBB has

the Swiss train company the SBB has

the Swiss train company the SBB has provided for us a virtual compensation

provided for us a virtual compensation

provided for us a virtual compensation they have within the trains as you cross

they have within the trains as you cross

they have within the trains as you cross the tunnel monitors that talk about your

the tunnel monitors that talk about your

the tunnel monitors that talk about your new horizon it’s labeled underneath each

new horizon it’s labeled underneath each

new horizon it’s labeled underneath each screen and probably it’s the absence

screen and probably it’s the absence

screen and probably it’s the absence thereof that means that the new horizon

thereof that means that the new horizon

thereof that means that the new horizon appears on a virtual screen so what

appears on a virtual screen so what

appears on a virtual screen so what should we say about that I think we’re

should we say about that I think we’re

should we say about that I think we’re going to go back to the point cloud to

going to go back to the point cloud to

going to go back to the point cloud to try and understand how it actually works

try and understand how it actually works

try and understand how it actually works as a model and as a piece and I think

as a model and as a piece and I think

as a model and as a piece and I think the best way to designate that is to

the best way to designate that is to

the best way to designate that is to explain that the model is like a crust

explain that the model is like a crust

explain that the model is like a crust here we’re just south of the Gothic

here we’re just south of the Gothic

here we’re just south of the Gothic going down we’re monitoring the earth

going down we’re monitoring the earth

going down we’re monitoring the earth crust it’s really showing in the most

crust it’s really showing in the most

crust it’s really showing in the most intricate details the old tremolo wrote

intricate details the old tremolo wrote

intricate details the old tremolo wrote in the new tremolo Road it’s almost like

in the new tremolo Road it’s almost like

in the new tremolo Road it’s almost like a big cake a digital cake which is empty

a big cake a digital cake which is empty

a big cake a digital cake which is empty underneath it’s just really showing the

underneath it’s just really showing the

underneath it’s just really showing the surface in the most intricate detail

surface in the most intricate detail

surface in the most intricate detail what you’re going to start seeing now

what you’re going to start seeing now

what you’re going to start seeing now though is the tunnel below that line

though is the tunnel below that line

though is the tunnel below that line that appears in transparency which is

that appears in transparency which is

that appears in transparency which is actually the autobahn tunnel the first

actually the autobahn tunnel the first

actually the autobahn tunnel the first tunnel that we’re going to see and it’s

tunnel that we’re going to see and it’s

tunnel that we’re going to see and it’s appearing in transparency through the

appearing in transparency through the

appearing in transparency through the cross the second line above that looks

cross the second line above that looks

cross the second line above that looks like a cloth hanging line is actually

like a cloth hanging line is actually

like a cloth hanging line is actually the nail tunnel which is further east

the nail tunnel which is further east

the nail tunnel which is further east and as we cut through that model as if

and as we cut through that model as if

and as we cut through that model as if you’re cutting through a piece of cake

you’re cutting through a piece of cake

you’re cutting through a piece of cake we see with exact geographic position

we see with exact geographic position

we see with exact geographic position the depth of field with the two tunnels

the depth of field with the two tunnels

the depth of field with the two tunnels below the earth crust that’s quite a big

below the earth crust that’s quite a big

below the earth crust that’s quite a big will during image and that’s where these

will during image and that’s where these

will during image and that’s where these point cloud data sets are actually

point cloud data sets are actually

point cloud data sets are actually producing a sort of revolution of sorts

producing a sort of revolution of sorts

producing a sort of revolution of sorts again the point cloud is a surface that

again the point cloud is a surface that

again the point cloud is a surface that is geo-referenced and that really shows

is geo-referenced and that really shows

is geo-referenced and that really shows an extraordinary amount of texture here

an extraordinary amount of texture here

an extraordinary amount of texture here you see the texture in front of the

you see the texture in front of the

you see the texture in front of the terrain but you also see the

terrain but you also see the

terrain but you also see the transparency of the entire mountain

transparency of the entire mountain

transparency of the entire mountain chain behind it goes all the way to the

chain behind it goes all the way to the

chain behind it goes all the way to the Mater hole on the far left this is part

Mater hole on the far left this is part

Mater hole on the far left this is part of the model again and here we see the

of the model again and here we see the

of the model again and here we see the journey

journey

journey north-to-south so I’ll just let you

north-to-south so I’ll just let you

north-to-south so I’ll just let you travel we’re going to go through the

travel we’re going to go through the

travel we’re going to go through the portal that we just saw before what’s

portal that we just saw before what’s

portal that we just saw before what’s extraordinary with this vision is that

extraordinary with this vision is that

extraordinary with this vision is that we actually come down and within the

we actually come down and within the

we actually come down and within the recognizable human scale we see things

recognizable human scale we see things

recognizable human scale we see things in very very precise positioning I think

in very very precise positioning I think

in very very precise positioning I think that’s what’s the most important thing

here we’re going to get to the portal

here we’re going to get to the portal that we just left a few minutes before

that we just left a few minutes before

that we just left a few minutes before and what you’re going to see very

and what you’re going to see very

and what you’re going to see very quickly is the portal and then the

quickly is the portal and then the

quickly is the portal and then the double pipe of the train line veering to

double pipe of the train line veering to

double pipe of the train line veering to the right under the mounting crust and

the right under the mounting crust and

the right under the mounting crust and then shooting into the mountain itself

then shooting into the mountain itself

then shooting into the mountain itself transparently here we’re going up the

transparently here we’re going up the

transparently here we’re going up the hill towards the Guittard

hill towards the Guittard

hill towards the Guittard and then we’ll come down over the

and then we’ll come down over the

and then we’ll come down over the devil’s bridge below you see the

devil’s bridge below you see the

devil’s bridge below you see the motorway tunnel in transparency that’s

motorway tunnel in transparency that’s

motorway tunnel in transparency that’s really what’s absolutely fascinating

really what’s absolutely fascinating

really what’s absolutely fascinating with these models

so it’s actually a massive scale digital

so it’s actually a massive scale digital model that can be used here we’re

model that can be used here we’re

model that can be used here we’re arriving on the Gothard again and then

arriving on the Gothard again and then

arriving on the Gothard again and then we go down again with the mote ultra ban

we go down again with the mote ultra ban

we go down again with the mote ultra ban bridge underneath and magician and fluke

bridge underneath and magician and fluke

bridge underneath and magician and fluke The Devil’s Bridge the well-known

The Devil’s Bridge the well-known

The Devil’s Bridge the well-known Devil’s Bridge on the bottom of the

Devil’s Bridge on the bottom of the

Devil’s Bridge on the bottom of the picture etc going through we’ve been

picture etc going through we’ve been

picture etc going through we’ve been deploying techniques like drones before

deploying techniques like drones before

deploying techniques like drones before they were celebrated that was 10 years

they were celebrated that was 10 years

they were celebrated that was 10 years ago now they’re sort of ubiquitous we’ve

ago now they’re sort of ubiquitous we’ve

ago now they’re sort of ubiquitous we’ve been using the lidar system we even

been using the lidar system we even

been using the lidar system we even reserved the Ultra Bank tunnel for

reserved the Ultra Bank tunnel for

reserved the Ultra Bank tunnel for ourselves close it off and measured it

ourselves close it off and measured it

ourselves close it off and measured it we even have been going to very cold

we even have been going to very cold

we even have been going to very cold places this is Matthias scanning the

places this is Matthias scanning the

places this is Matthias scanning the Guittard what I think is really

Guittard what I think is really

Guittard what I think is really important to understand is how this

important to understand is how this

important to understand is how this really works and what its applications

really works and what its applications

really works and what its applications are for the future it’s not just a

are for the future it’s not just a

are for the future it’s not just a nice-to-have model of the Swiss Alps

nice-to-have model of the Swiss Alps

nice-to-have model of the Swiss Alps here we can literally work as engineers

here we can literally work as engineers

here we can literally work as engineers sexually we’re going to cut through the

sexually we’re going to cut through the

sexually we’re going to cut through the infrastructure that pours out of the

infrastructure that pours out of the

infrastructure that pours out of the Alps in Goshen and here you see a very

Alps in Goshen and here you see a very

Alps in Goshen and here you see a very very precise section showing how the

very precise section showing how the

very precise section showing how the motorway the railway bridge etc works

motorway the railway bridge etc works

motorway the railway bridge etc works and the applications there have been

and the applications there have been

and the applications there have been multiple we’ve worked in Southeast Asia

multiple we’ve worked in Southeast Asia

multiple we’ve worked in Southeast Asia and Jakarta monitoring flood problems in

and Jakarta monitoring flood problems in

and Jakarta monitoring flood problems in slums we’ve been rebuilding artificial

slums we’ve been rebuilding artificial

slums we’ve been rebuilding artificial islands in Venice with the same

islands in Venice with the same

islands in Venice with the same technology we’ve been working in Israel

technology we’ve been working in Israel

technology we’ve been working in Israel and Jordan on the naira your insight to

and Jordan on the naira your insight to

and Jordan on the naira your insight to document archaeological elements and

document archaeological elements and

document archaeological elements and basically what we’re able to do with

basically what we’re able to do with

basically what we’re able to do with this type of modeling is not just map

this type of modeling is not just map

this type of modeling is not just map the Alps but actually simulate flow

the Alps but actually simulate flow

the Alps but actually simulate flow simulate new projects and use it almost

simulate new projects and use it almost

simulate new projects and use it almost as a tool of participation we’ve trained

as a tool of participation we’ve trained

as a tool of participation we’ve trained hundreds of young researchers and

hundreds of young researchers and

hundreds of young researchers and students for it and I think that’s

students for it and I think that’s

students for it and I think that’s really the goal of this laboratory so

really the goal of this laboratory so

really the goal of this laboratory so basically the entire team behind the

basically the entire team behind the

basically the entire team behind the guitar project which was shown

guitar project which was shown

guitar project which was shown by the way in the Venice Biennale two

by the way in the Venice Biennale two

by the way in the Venice Biennale two years ago and will be shown again at the

years ago and will be shown again at the

years ago and will be shown again at the ETH Center at the beginning of next year

ETH Center at the beginning of next year

ETH Center at the beginning of next year in June is actually the result of a huge

in June is actually the result of a huge

in June is actually the result of a huge amount of collaborations I thank you for

amount of collaborations I thank you for

amount of collaborations I thank you for your attention

your attention

your attention [Applause]

[Applause]

[Applause] [Music]

”

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