Intelligent Sensors
2010 - 2020!
I <3
sensors
Jonas Lamis - SciVestor

1,000,000
1,000,000,000,000
18,446,744,073,709,551,
615

The Law of Accelerating Returns
Courtesy Ray Kurzweil and Kurzweil Technologies

B4 + C

http://www.flickr.com/photos/maxkiesler/2240153169/

Why Create a Driverless Car?

ISGR

SENSING
THOUGHT

Brain sensors

Ray and Terry

http://www.flickr.com/photos/doctorow/2403369880/

http://www.flickr.com/photos/wipeout/179788993/

23 and Me

http://www.flickr.com/photos/takomabibelot/417896166/

http://www.flickr.com/photos/hackshaven/2228724569/

SMART
DUST

SMART
DUST

Business
Logic
Basic
Awareness
Sensory
Enablement
http://www.flickr.com/photos/liberato/171610084/

Answers the ques,on:
Answers the
ques,on: Where am I?
e
What’s around
Mobi rformanc
nsing
me? le Se
Basic Awareness
Pe
High
Goal
Logic
Execution
Answers the ques,ons:
Makes the statements: Am I behaving correctly?
Do this and that. Am I doing anything
dangerous?

Higher‐Level Domain
Knowledge and Applica,on‐
specific opera,ons
implemented here
e
Mobi rformanc
Complex business rules
nsing Interac>ng with society
le Se
Basic Awareness
Pe
High
Goal
Logic
Execution
100% of an applica,on developer’s ,me
should be spent here

2004 DGC Landscape of
Technologies
5 – 10% of team capacity was spent
30 ‐ 60% of team capacity
on collec,ng GPS data.
was spent enabling mobile
sensing technologies. Mature and well‐established high
performance GPS market enabled
e
Mobi rformanc
nsing
developers to focus on higher‐level
Prevalent Technologies: func,on of GPS waypoint traversal.
le Se
 SICK Prevalent Technologies:
Basic Awareness
Pe
 BOSCH  NAVCOM
High
 Custom Vision Solu,ons Goal  Arrow
Logic  Trimble
10 – 30% of team capacity spent
wri,ng the same “commodity”
Execution naviga,onal algorithms as other
teams such as:
In 2004, DGC goals were simple:
 PID controllers
Let the Naviga>on system take the car
to the end.  Kalman Filters
Higher level func,ons were irrelevant  Obstacle Avoidance
10 – 20% of team capacity was
because basic sensing and naviga,on
spent integra,ng actuators.
technologies needed to be developed.

2005 DGC Landscape of
Technologies
5 – 10% of team capacity was spent
30 ‐ 50% of team capacity
on collec,ng GPS data.
was spent enabling mobile
sensing technologies. Mature and well‐established high
performance GPS market enabled
e
Mobi rformanc
nsing
developers to focus on higher‐level
Prevalent Technologies: func,on of GPS waypoint traversal.
le Se
 SICK Prevalent Technologies:
Basic Awareness
Pe
 BOSCH  NAVCOM
High
 Custom Vision Solu,ons Goal  Arrow
Logic  Trimble
40 – 60% of team capacity spent
wri,ng the same “commodity”
Execution naviga,onal algorithms as other
teams such as:
In 2005, DGC goals were s,ll simple:
 PID controllers
Let the Naviga>on system take the car
to the end.  Kalman Filters
The 2005 DGC was effec,vely the  Obstacle Avoidance
10 – 20% of team capacity was
conclusion of the 2004 DGC.
spent integra,ng actuators. ¹
¹ Actuator integration will continue to be studied. It has sparked a market for turnkey actuator systems for vehicles. It is outside the scope of this presentation.

2007 DUC Landscape of
Technologies
5 – 10% of team capacity was spent
5 ‐ 15% of team capacity
on collec,ng GPS data.
was spent enabling mobile
sensing technologies. Mature and well‐established high
performance GPS market enabled
e
Allowed more capacity to
Mobi rformanc
nsing
developers to focus on higher‐level
be spent on higher level
func,on of GPS waypoint traversal.
func,ons. le Se
Prevalent Technologies:
Basic Awareness
Prevalent Enabling
Pe
Technologies:  NAVCOM
High
Goal
 Velodyne  Arrow
Logic
 ibeo  Trimble
40 – 70% of team capacity
20 – 40% of team capacity spent
was spent on codifying
wri,ng the same “commodity”
domain knowledge of rules Execution naviga,onal algorithms as other
of the road:
teams such as:
Respect rules of four‐way
 PID controllers
intersec>ons.
 Kalman Filters
Merge safely with moving
traffic.  Obstacle Avoidance
10 – 20% of team capacity was
Safely pass into oncoming spent integra,ng actuators. ¹
traffic.
¹ Actuator integration will continue to be studied. It has sparked a market for turnkey actuator systems for vehicles. It is outside the scope of this presentation.

Market beats
Global Meltdown
expectations
Biggest.bubble.ever
Nuke York
Utopia
End of Humanity
Sameness
 Badness Goodness 

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