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OpenRacing
Is this a video game, or an AI research platform?



                                    Cars driving themselves
                                    (Note: this code already
                                             exists)
About me

   Keith Curtis, keithcu@gmail.com
   Programmer at Microsoft for 11 years on
    Windows, Office, MSN, Research and
    mobility
   Randomly discovered Linux after I left
   Wrote a book describing why it is
    superior, and remaining steps for World
    Domination
My book gives fuller context
              NEW YORK TIMES:
              Keith Curtis, an 11-year veteran
              of Microsoft, believes deeply that
              open source is the future of
              software.
              He takes a programmer’s
              approach in Software Wars,
              attempting to systematically build
              a case that software can help
              pave the way for a 21st-century
              renaissance in many fields
              ranging from artificial
              intelligence (cars that drive
              themselves) to the human journey
              into space (space elevators). For
              Mr. Curtis, free software is all
              about leveraging our collective
              intelligence.
Book in 1 slide

   After thinking about it for 10 years
       And seeing the code inside and outside
        Microsoft
   Free software wins in the end
   The lessons of Wikipedia, Linux et al can
    be applied to many places
       FOSS movement should change how you
        think about R&D in the 21st century
   The payoff is AI, cancer research
Free software
   If the code isn't out there, a community
    of scientists can't work together on it
   As subtle a concept as free market
       Science is about making results available
   Better for the free market
       Cheaper hardware, richer services business
   Many problems too big for one company
   Coming goldrush of free software
       Google's Knol will lose to Wikipedia
   Book explains this
Just add water
   Create the conditions
       Create a vision that inspires
       Create a process that doesn't suck
       Codebase -> community -> success
   It isn't that hard
       Lots of things succeed by accident in the
        Internet era
   Free software quietly taking an
    increasing part
   Cheaper: share dev costs with others
State of free software
   Successful in many areas
       Esp. Servers, web and embedded
       Apple uses free software (Kernel, Safari,
        Printing)
       Linux on the desktop is coming (Google
        Chrome, Ubuntu on Dell)
       The desktop is the center of the IT universe
       Lucene is a free search engine used in many
        enterprises
   Much left remaining, like AI
Driverless Cars
   Cars are the most widely used robot
    today
       Billions of $$ from industry and government
   Optionally having a chaffeur is the
    coolest feature ever
   Once we have cars that can see, we can
    have personal butlers as well
   Has several Green applications
       Route around traffic to save gas
Why don't we have
driverless cars today?
   Airplanes land themselves
   Cars drive around in video games and
    shoot and swear at you
       Video game cars aren't super smart yet
        because crashing is part of the fun
       Code is custom and proprietary anyway
   The software doesn't exist
   Because there is no community
This is a social, not a technical problem
Darpa Grand Challenge




   Entrants were all proprietary
       A few produced papers, but no source
       The code is just being tinkered with or
        abandoned
       Anyone who wants to work on this problem
        today must mostly start from scratch
   Therefore, the contest was a failure
Importance of a simulator
   A driving simulator allows you to
    simulate full loop
   Create sensors in the video game, and
    feed them to vision engine
   Can compare results to what video game
    says
   Create test scenarios and monitor it all
   You can cameras up to RC cars, but we
    need to focus on the software now!
Importance of a simulator
   In an hour you can run 1,000s of
    incredibly complicated tests
   A simulator is required to build
    confidence in a system
       The idea of cars driving themselves down the
        road at 150mph can involve death
   Researchers can test and improve this
    code without access to a car
   You need the real world mostly to learn
    how to make the simulator tests better
Rigs of Rods is best free sim
●Internally, simulator will generate virtual
sensor input like Lidar
Rigs of Rods
   Created by just 3 people, but leverages a
    lot of free software
   Community of 10 developers
       But young, codebase made free in early-2009
   Extensible with new cars and maps
       Can simulate dynamic objects like stoplights
   Soft-body physics engine
       Engine simulation needs work
   C++, with some Lua scripts
       We are trying to get Python
Driving is the Killer App of
vision
   Visicalc and Lotus 1-2-3 are the apps that built
    the PC
       E-mail is what built the Internet
   Lots of specialized uses of computer vision
    today such as in NFL TV's first down marker &
    Project Natal.
   Researchers have been working for decades
    but don't know why their code is still in
    academia
   No other reason to dramatically improve
       No point building robot butlers w/o vision
Community needs kickstart
   Putting vision and driving researchers
    together in one codebase can generate
    lots of excitement
       Vision and driving logic can be built and
        tested separately
       PhDs around the world can get to work on a
        real problem
   Each new advancement will put new
    requirements on the other subsystem
       When the vision system can recognize soft
        curbs, the driving system must also treat
        them as such
Vision code

   Vision sounds hard, but is the same
    number of lines of code as a web browser
   Many vision PhDs write proprietary code
       Adopted Microsoft model
       Head of Oxford Vision lab told me all his
        code is proprietary
   What free code out there is very
    fragmented (http://www.cs.cmu.edu/~cil/v-source.html)
       204 codebases
       Everyone rolls their own
Vision code
   1000s of PhDs worldwide are working
       Image processing portion well understood
       Detecting shapes and motion becoming
        mature
       Need to build an internal 3-d model, no
        consensus on these details
   We have more than enough people, but
    they are not working together yet
OpenCV
   Most popular free computer vision
    codebase is OpenCV, created by Intel
       Intel created and abandoned, now sponsored
        by Willow Garage
   But only a few full-time people working
    on it
       E-mail traffic is low
   Codebase is C++ and big
       Intel cares more about perf than ease of use
       Hard to use bits and pieces of
       Vast majority of researchers don't use
OpenCV (2)
   Can't easily work with larger scientific
    community
       Has lots of code that is not really vision
        specific including machine learning, low-
        level graphics code
   Should really move to Python and join
    SciPy community
       Estimated < 1 man-year of work
   Much vision research uses random
    images found on Internet or webcam
Driving
   In principle, not a hard problem
   Parking a car is easy
   Pathfinding is discussed in every AI
    textbook, but not much progress in last
    decades
       Simple proprietary code in industrial
        scenarios
       Free code is fragmented and immature
       Without real scenarios, no reason to improve
Driving (2)
   Safety is the big challenge
   I'll bet a parallel parking car would run
    over a foot today which is not acceptable
   The dynamic world is tricky
   Will require a number of different kinds
    of AI
   But less than 1M lines of Python
       Google's OCR 100k lines of C++
   The code isn't big, but it has to be clever
    in spots
Driving Logic
   Primitive automatic driving code in RoR
    today, but several people working on it
   There is other free code out there to
    leverage as well
       Torcs/SpeedDreams
       OpenSteer
Strategy 1: VDGC
   The Darpa Grand Challenge failed
       Efforts died out after contest over
       Code is locked up so may as well not exist
       Contestants didn't work together on any
        code
       Lots of time spent writing device drivers for
        all of the custom hardware before even
        getting to the vision / driving code
   Create a smarter contest
One way to spend $100,000

   Goal of a contest should be to get the
    maximum number of people working as
    efficiently as possible.
   A contest around a simulator will create
    a community and assets long after the
    contest is over.
   We'd like to create a Virtual Darpa
    Grand Challenge
   Raise money from investors or sponsors
Contest details

   Free software should be encouraged
       If you want the assets to live on.
   We sidestep driver junk
   But you can easily simulate hardware
   We have other ideas to have the
    contestants work together for efficiency
Contests are complicated
   Many details to consider
       What are the test cases? They have to be
        created
       What are the legal rules?
       How to hand out money in little chunks
        based on quality of contributions (code, art,
        test cases, infrastructure work)
       Timeline
What do we want?

   $300,000?
       $100,000 for a contest plus infrastructure
       Assume $100K is enough to generate
        excitement
       If we get 100 people working together we
        can claim a breakthrough
       The time is right
   Team today is just me + one part-time
    programmer, plus FOSS people out there
   I want someone else to lead this
Future
   It could get on the cover of Wired
    magazine!
   Can turn this into an engineering
    services company
   There are enough people today working
    on these problems
       They are not working together
       They need a codebase and a task to organize
        them

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Open Racing

  • 1. OpenRacing Is this a video game, or an AI research platform? Cars driving themselves (Note: this code already exists)
  • 2. About me  Keith Curtis, keithcu@gmail.com  Programmer at Microsoft for 11 years on Windows, Office, MSN, Research and mobility  Randomly discovered Linux after I left  Wrote a book describing why it is superior, and remaining steps for World Domination
  • 3. My book gives fuller context NEW YORK TIMES: Keith Curtis, an 11-year veteran of Microsoft, believes deeply that open source is the future of software. He takes a programmer’s approach in Software Wars, attempting to systematically build a case that software can help pave the way for a 21st-century renaissance in many fields ranging from artificial intelligence (cars that drive themselves) to the human journey into space (space elevators). For Mr. Curtis, free software is all about leveraging our collective intelligence.
  • 4. Book in 1 slide  After thinking about it for 10 years  And seeing the code inside and outside Microsoft  Free software wins in the end  The lessons of Wikipedia, Linux et al can be applied to many places  FOSS movement should change how you think about R&D in the 21st century  The payoff is AI, cancer research
  • 5. Free software  If the code isn't out there, a community of scientists can't work together on it  As subtle a concept as free market  Science is about making results available  Better for the free market  Cheaper hardware, richer services business  Many problems too big for one company  Coming goldrush of free software  Google's Knol will lose to Wikipedia  Book explains this
  • 6. Just add water  Create the conditions  Create a vision that inspires  Create a process that doesn't suck  Codebase -> community -> success  It isn't that hard  Lots of things succeed by accident in the Internet era  Free software quietly taking an increasing part  Cheaper: share dev costs with others
  • 7. State of free software  Successful in many areas  Esp. Servers, web and embedded  Apple uses free software (Kernel, Safari, Printing)  Linux on the desktop is coming (Google Chrome, Ubuntu on Dell)  The desktop is the center of the IT universe  Lucene is a free search engine used in many enterprises  Much left remaining, like AI
  • 8. Driverless Cars  Cars are the most widely used robot today  Billions of $$ from industry and government  Optionally having a chaffeur is the coolest feature ever  Once we have cars that can see, we can have personal butlers as well  Has several Green applications  Route around traffic to save gas
  • 9. Why don't we have driverless cars today?  Airplanes land themselves  Cars drive around in video games and shoot and swear at you  Video game cars aren't super smart yet because crashing is part of the fun  Code is custom and proprietary anyway  The software doesn't exist  Because there is no community This is a social, not a technical problem
  • 10. Darpa Grand Challenge  Entrants were all proprietary  A few produced papers, but no source  The code is just being tinkered with or abandoned  Anyone who wants to work on this problem today must mostly start from scratch  Therefore, the contest was a failure
  • 11. Importance of a simulator  A driving simulator allows you to simulate full loop  Create sensors in the video game, and feed them to vision engine  Can compare results to what video game says  Create test scenarios and monitor it all  You can cameras up to RC cars, but we need to focus on the software now!
  • 12. Importance of a simulator  In an hour you can run 1,000s of incredibly complicated tests  A simulator is required to build confidence in a system  The idea of cars driving themselves down the road at 150mph can involve death  Researchers can test and improve this code without access to a car  You need the real world mostly to learn how to make the simulator tests better
  • 13. Rigs of Rods is best free sim
  • 14. ●Internally, simulator will generate virtual sensor input like Lidar
  • 15. Rigs of Rods  Created by just 3 people, but leverages a lot of free software  Community of 10 developers  But young, codebase made free in early-2009  Extensible with new cars and maps  Can simulate dynamic objects like stoplights  Soft-body physics engine  Engine simulation needs work  C++, with some Lua scripts  We are trying to get Python
  • 16. Driving is the Killer App of vision  Visicalc and Lotus 1-2-3 are the apps that built the PC  E-mail is what built the Internet  Lots of specialized uses of computer vision today such as in NFL TV's first down marker & Project Natal.  Researchers have been working for decades but don't know why their code is still in academia  No other reason to dramatically improve  No point building robot butlers w/o vision
  • 17. Community needs kickstart  Putting vision and driving researchers together in one codebase can generate lots of excitement  Vision and driving logic can be built and tested separately  PhDs around the world can get to work on a real problem  Each new advancement will put new requirements on the other subsystem  When the vision system can recognize soft curbs, the driving system must also treat them as such
  • 18. Vision code  Vision sounds hard, but is the same number of lines of code as a web browser  Many vision PhDs write proprietary code  Adopted Microsoft model  Head of Oxford Vision lab told me all his code is proprietary  What free code out there is very fragmented (http://www.cs.cmu.edu/~cil/v-source.html)  204 codebases  Everyone rolls their own
  • 19. Vision code  1000s of PhDs worldwide are working  Image processing portion well understood  Detecting shapes and motion becoming mature  Need to build an internal 3-d model, no consensus on these details  We have more than enough people, but they are not working together yet
  • 20. OpenCV  Most popular free computer vision codebase is OpenCV, created by Intel  Intel created and abandoned, now sponsored by Willow Garage  But only a few full-time people working on it  E-mail traffic is low  Codebase is C++ and big  Intel cares more about perf than ease of use  Hard to use bits and pieces of  Vast majority of researchers don't use
  • 21. OpenCV (2)  Can't easily work with larger scientific community  Has lots of code that is not really vision specific including machine learning, low- level graphics code  Should really move to Python and join SciPy community  Estimated < 1 man-year of work  Much vision research uses random images found on Internet or webcam
  • 22. Driving  In principle, not a hard problem  Parking a car is easy  Pathfinding is discussed in every AI textbook, but not much progress in last decades  Simple proprietary code in industrial scenarios  Free code is fragmented and immature  Without real scenarios, no reason to improve
  • 23. Driving (2)  Safety is the big challenge  I'll bet a parallel parking car would run over a foot today which is not acceptable  The dynamic world is tricky  Will require a number of different kinds of AI  But less than 1M lines of Python  Google's OCR 100k lines of C++  The code isn't big, but it has to be clever in spots
  • 24. Driving Logic  Primitive automatic driving code in RoR today, but several people working on it  There is other free code out there to leverage as well  Torcs/SpeedDreams  OpenSteer
  • 25. Strategy 1: VDGC  The Darpa Grand Challenge failed  Efforts died out after contest over  Code is locked up so may as well not exist  Contestants didn't work together on any code  Lots of time spent writing device drivers for all of the custom hardware before even getting to the vision / driving code  Create a smarter contest
  • 26. One way to spend $100,000  Goal of a contest should be to get the maximum number of people working as efficiently as possible.  A contest around a simulator will create a community and assets long after the contest is over.  We'd like to create a Virtual Darpa Grand Challenge  Raise money from investors or sponsors
  • 27. Contest details  Free software should be encouraged  If you want the assets to live on.  We sidestep driver junk  But you can easily simulate hardware  We have other ideas to have the contestants work together for efficiency
  • 28. Contests are complicated  Many details to consider  What are the test cases? They have to be created  What are the legal rules?  How to hand out money in little chunks based on quality of contributions (code, art, test cases, infrastructure work)  Timeline
  • 29. What do we want?  $300,000?  $100,000 for a contest plus infrastructure  Assume $100K is enough to generate excitement  If we get 100 people working together we can claim a breakthrough  The time is right  Team today is just me + one part-time programmer, plus FOSS people out there  I want someone else to lead this
  • 30. Future  It could get on the cover of Wired magazine!  Can turn this into an engineering services company  There are enough people today working on these problems  They are not working together  They need a codebase and a task to organize them