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Autonomous Cars Analyical Report Benzir Ahmed, Christopher Basalo, Daniel D’Angelo, George Dragoste, Filip Pichtikov 1CS3 Communications C03• McMaster University • 25 November, 2013 Table of Contents Executive Summary 2 Introduction 3 Technology & Implementation 3 Societal Impact 5 Business Impact 7 Political Impact 8 Ethical Impact 9 Bibliography 12

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Page 1: Autonomous Cars

 

 

Autonomous Cars Analyical Report Benzir Ahmed, Christopher Basalo, Daniel D’Angelo, George Dragoste, Filip Pichtikov 1CS3 Communications C03• McMaster University • 25 November, 2013 Table of Contents Executive Summary 2 Introduction 3 Technology & Implementation 3 Societal Impact 5 Business Impact 7 Political Impact 8 Ethical Impact 9 Bibliography 12

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Executive Summary

Over  the  past  decade  the  automobile  and  technology  industries  have  made  significant  leaps  in  bringing  computerization  into  vehicles.  Driving,  which  in  the  past  has  been  exclusively  a  human  function,  is  now  being  replaced  with  Automated  Vehicles  (AVs).      AVs  contain  a  wide  range  of  computer  systems  and  sensors  that  allow  them  the  ability  to  cruise  through  city  traffic  and  busy  highways.  With  Google  leading  the  charge,  many  other  car  manufacturers  have  began  testing  AVs.  As  of  November  2013,  Google’s  self-­‐driving  cars  have  travelled  over  500,000  miles  in  the  United  States  and  Canada.      Overall,  AVs  will  have  a  large  impact  on  society.  The  reason  for  this  is  that  more  people  will  be  able  to  commute  by  car  without  having  to  worry  about  traffic,  accidents,  or  being  late  for  work.  With  the  high  demand  for  shorter  commute  times  and  fewer  accidents,  driverless  cars  are  the  way  of  the  future  and  will  completely  reinvent  the  meaning  of  transportation.      Nevertheless,  controversies  surrounding  AVs  arise  where  the  idea  that  autonomous  vehicles  reduce  the  risks  of  driving,  meets  the  idea  that  robots  and  programmed  cars  cannot  act  morally.  At  present,  AVs  are  new  technology  and  a  work  in  progress,  but  are  expected  to  reach  great  technological  milestones  in  the  future.  AVs  have  the  potential  to  eliminate  dangers  of  driving  in  the  future,  but  until  they  can  think  and  act  morally,  they  will  not  be  completely  trusted  and  some  human  intervention  will  be  required.      With  these  dramatic  changes  to  the  road,  cars  may  need  a  license  of  their  own.  AVs  are  still  relatively  in  the  infancy  stage  and  are  causing  changes  in  licensing  and  legal  systems.  With  the  possibility  of  this  invention  taking  over  the  streets,  new  laws  and  regulations  must  be  enforced  to  prevent  legal  issues.

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Introduction

The  last  ten  years  has  seen  a  great  amount  of  development  in  the  area  of  computer  systems  being  included  in  vehicles..  For  over  a  century,  driving  has  been  exclusively  a  human  function.  However,  newer  car  models  increasingly  include  features  like  adaptive  cruise  control  and  parking  assist  systems  that  allow  cars  to  steer  themselves  into  tight  parking  spaces.  

Steps industries are taking in order to progress the product.

Some  companies  have  gone  so  far  as  to  create  autonomous  vehicles  (AVs,  also  known  as  self-­‐driving  vehicles)  that  have  the  ability  to  drive  themselves  on  existing  roads  and  can  navigate  many  types  of  roadways,  with  almost  no  direct  human  input.  Assuming  that  these  technologies  become  successful  and  available  to  the  mass  market,  AVs  have  the  potential  to  dramatically  change  the  transportation  network  by  reducing  traffic  and  accidents.  Though  this  is  a  positive  change,  there  are  still  the  potential  negative  effects  of  this  technology  that  must  be  considered.[1

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Technology &

Implementation

AVs  have  onboard  computers  with  a  list  of  sensory  systems  that  allow  the  car  to  see  the  surroundings,  map  them,  create  3D  images,  read  traffic  lights,  signs  and  maneuver  through  traffic[8].    Following  is  a  description  of  the  various  components  of  the  car  that  are  necessary  for  the  independent  driving  to  occur.  

 

Components of the Car

LIDAR [Light Detection and Ranging]

Mounted  on  the  roof  of  the  Google  car,  LIDAR  instruments  mainly  consist  of  a  pulsated  laser,  a  scanner,  and  a  specialized  GPS  receiver.  LIDAR  uses  the  pulsed  laser  to  measure  ranges,  angles  and  variable  distances  to  the  surrounding  objects.  These  light  pulses—combined  with  other  components’  data  recorded  by  the  system—  generate  precise,  three-­‐dimensional  information  about  the  shape  of  the  Earth  and  its  surface  characteristics.  LIDAR  Technologies  are  primarily  used  by  satellites  or  planes  for  mapping  surrounding  objects.[9]  The  LIDAR  system  on  the  Google  cars  is  able  to  map  objects  in  the  surrounding  250  ft.,  and  can  also  read  traffic  lights,  signs  and  identify  people[5][7].    

Laser Sensors

A  Laser  Sensor  or  scanner  consists  of  a  pulsated  laser  (similar  to  LIDAR)  that  is  used  to  determine  the  distance  between  objects  and  angles.[7]  

 

AUDI:    80  metres  in  front  of  the  vehicle  and  scanning  angles  of  80o[7][8][101]  

BMW:    A  range  of  200  m  front  and  back[7]  

GM:  Ranges  and  specifications  unpublished[7]  

Radar Systems

Radars  use  radio  waves  to  measure  range,  altitude,  direction  and  the  velocity  of  the  objects.  Radars  are  conventionally  used  in  aircraft  and  naval  vessels.  The  range  of  the  radar  systems  on  Autonomous  Vehicles  use  what  is  known  as  Continuous  Wave  (CW)  Radars.  

Google  cars:  a  range  of  650  ft  front  and  back,  scanning  angles  180o[4][7]  

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BMW/Mercedes:  a  range  of  200  m  front  and  back,  scanning  angles  180o[7]  

Audi:  a  range  of  200  m  front  and  back,  scanning  angles  35o[7][8][10]  

GM/Nissan:  ranges  and  specifications  Unpublished[7]  

Camera [Inferred and Stereo]

Helps  detect  surrounding  objects  and  their  acceleration  with  the  addition  of  Radar  and  LIDAR  systems.  The  camera  is  primarily  used  to  track  lane  marking,  traffic  lights  and  signs[7].  

Ultrasonic Sensors

Ultrasonic  sensors  emit  sound  waves/pulses  to  calculate  the  distance  of  objects.  These  are  used  to  alert  the  driver  of  probable  collisions  and  obstacles.    

AUDI:  8  sensors  (front,  back  and  corners)[7][8][10]  

BMW:  4  sensors  (above  the  wheels)[7]  

Software and Computer Systems

All  cars  are  built  on  a  independent  circuit.  The  mission-­‐critical  and  communication  systems  are  independent  with  little  interaction  with  central  data  hubs.  This  feature  ensures  security  and  make  it  particularly  difficult  to  hack  or  run  large  scale  attacks  on  the  AVs[1].  

The  systems  are  also  designed  to  hand  over  control,  when  user  input  is  detected  (i.e.  turning  the  steering,  using  the  breaks  etc.)  If  the  car  fails  to  hand  over  control  to  the  user,  there  is  a  "kill"  button  that  reverts  the  car  back  to  manual  mode.[4][5][7][10]  

More  information  regarding  the  onboard  systems  is  not  currently  available.

GPS and Differential GPS

Standard  Global  Positioning  Systems  (GPS)  have  an  accuracy  of  15  –  30  metres  of  the  object,  where  as    

Differential  GPS  can  narrow  it  down  to  10  -­‐15  centimetres[3].    

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Implementation

As  of  November  2013,  Google’s  self-­‐driving  cars  have  driven  over  500,000  miles  in  the  United  States  and  Canada[1][2][4][5][6].  Google's  fleet  of  Toyota  Priuses  has  now  logged  more  than  190,000  miles,  driving  in  city  traffic,  busy  highways,  and  mountainous  roads  with  only  occasional  human  intervention[6][7].  Several  manufacturers  –  including  Audi,  BMW,  Cadillac,  Ford,  GM,  Mercedes-­‐Benz,  Nissan,  Toyota,  Volkswagen,  and  Volvo  –  have  begun  testing  driverless  systems.[1]    Although  the  price  of  the  additional  software  and  sensors  is  currently  over  $100,000,[7][5]  Google  and  some  manufacturers  estimate  the  technology  will  available  to  the  public  by  2020.[7][2]

Societal Impact

“Passengers  will  have  the  ability  to  buy  shares  of  an  autonomous  car.”  

Once  autonomous  cars  become  available  to  the  public  they  will  have  a  large  impact  on  society.  Some  of  the  major  aspects  that  will  be  affected  are:  the  quality  of  life,  health  and  well  being,  accessibility,  employment  and  the  economy.  

Driverless  cars  will  most  definitely  affect  the  quality  of  life.  At  present,  in  order  to  be  able  to  drive  a  car  a  driver’s  license  is  required  which  involves  also  understanding  and  obeying  all  the  rules  of  the  road.  However,  this  will  change  with  the  availability  of  autonomous  cars.    Drivers  will  no  longer  need  to  obtain  a  driver’s  license  or  even  worry  about  the  rules  and  regulations  of  the  road  since  the  vehicle  will  be  programmed  to  operate  completely  on  its  own.  With  this  being  said,  passengers,  including  those  in  the  driver's  seat,  will  be  able  to  focus  on  other  things  such  as  catching  up  on  work  during  their  daily  commute,  without  having  to  be  concerned  about  driving.  

Autonomous  cars  are  probably  the  most  beneficial  for  people  that  are  visually  impaired  or  handicapped.  People  with  disabilities  very  often  must  rely  on  either  public  or  some  sort  of  private  transportation,  which  is  sometimes  unreliable  and  expensive.  By  owning  a  driverless  car,  people  with  disabilities  will  be  able  to  travel  at  their  own  convenience  without  having  to  rely  on  others.  This  will  also  restore  meaningful  social  roles  to  older  adults.  

Another  impact  on  society  that  the  driverless  car  would  have  is  accessibility.  With  more  and  more  cars  on  the  road,  there  are  more  traffic  jams,  accidents  and  less  parking  spots.  By  introducing  the  autonomous  car  all  of  this  can  be  eliminated.  One  way  to  reduce  traffic,  and  have  less  vehicles  in  a  parking  lot  would  be  the  ability  to  buy  shares  in  a  driverless  car.  For  example,  there  could  be  a  set  amount  of  people  that  would  own  part  of  the  car,  just  like  you  would  for  a  time  share.  Now  different  people  can  buy  into  a  share  of  the  vehicle.  They  can  set  up  a  set  schedule  that  works  for  each  person  and  use  the  driverless  car  based  on  that  schedule.  Accidents  would  be  reduced  because  without  a  driver  there  would  be  no  human  error,  which  would  also  mean  that  autonomous  car  could  be  capable  of  travelling  at  higher  speeds.  

Furthermore,  large  corporations  could  buy  into  a  car  share.    Then,  when  employees  travel  and  are  in  need  

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of  a  vehicle,  the  driverless  car  would  eliminate  the  need  for  an  employed  driver.    This  act  would  save  the  company  some  money  however,  the  downside  would  be  job  losses.  

Autonomous  cars  will  create  jobs  for  software  engineers,  and  any  college/university  graduates  that  are  pursuing  a  career  in  the  technology  sector.  However,  driverless  cars  will  have  a  large  negative  impact  on  professional  drivers  that  make  a  living  by  driving,  such  as  truck  drivers  and  taxi  drivers.  Freight  truck  drivers  are  usually  on  the  road  every  day,  sometimes  for  hours  or  even  days.  If  the  trucks  were  to  be  driverless,  only  controlled  by  a  computer,  these  trucks  would  be  able  to  reach  their  destination  much  faster  with  only  stopping  to  fill  up  on  fuel.  This  would  save  trucking  companies  a  lot  of  money  on  overtime,  but  again  it  would  also  mean  unemployment  for  the  truck  drivers.  

Taxi  companies  are  another  business  that  would  be  drastically  affected  by  autonomous  cars.  The  basic  role  of  a  taxi  is  to  drive  someone  around  who  does  not  own  a  car  or  does  not  want  to  drive.  By  replacing  taxi  drivers  with  computers,  the  company  is  saving  money  on  employment  costs,  and  may  improve  their  performance  by  removing  the  possibility  of  human  error.  

Along  with  the  positive  outcomes  that  come  with  the  development  of  autonomous  cars  such  as  reduced  driver  stress,  increased  safety,  mobility,  and  roadway  capacity,  we  must  also  consider  the  concerns  of  increased  production  costs,  reduced  employment  and  business  activity,  and  the  possibility  of  mechanical  failure.

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Business Impact

With  the  forever  growing  population,  more  cars  are  needed  each  day.    With  each  day  of  growth  the  automotive  industry  creates  something  new  to  help  drivers  on  the  road,  hence  the  move  towards  AVs.    Companies  like  Ford,  Volvo  and  Infiniti  have  already  incorporated  features  that  are  moving  in  this  direction,  and  what  was  once  a  futuristic  dream,  is  becoming  more  of  a  reality.  

Demand  

Table  1  shows  the  amount  of  cars  on  the  road  today;  evidence  of  the  large  demand  for  vehicles.  If  driverless  cars  were  to  be  brought  into  Canada,  their  popularity  would  be  sure  to  grow  because  of  the  sheer  amount  of  people  needing  cars  in  their  lives.  However,  of  this  large  amount  of  people,  about  50%  do  not  like  to  drive  but  need  a  car  in  their  lives.  By  incorporating  driverless  cars  these  consumers  would  be  able  to  go  where  they  need  to  and  also  means  they  would  need  to  buy  a  new  car.  In  addition,  for  the  people  who  do  not  have  their  license  because  of  their  fear  of  driving,  AVs  would  allow  them  more  automotive  mobility.  

Funding  

Car  companies  like  Mercedes  Benz,  Audi  and  Toyota  also  have  plans  for  self-­‐driving  cars.  Google  was  the  first  to  start  working  on  driverless  cars.  Google  may  be  willing  to  help  further  what  they  have  already  started  so  as  to  develop  the  progress  of  the  technology.  This  means  that  they  are  are  willing  to  pay  for  someone  to  create  the  programming  needed  in  driverless  cars.    

Cost  

Costs  to  build  the  car  will  still  be  the  same.  Engineers  and  programmers  will  need  to  be  hired  to  create  the  program  and  also  maintain  it  to  make  sure  the  program  works  at  all  times.  If  the  program  does  not  work  properly  then  more  money  will  need  to  be  spent  to  make  the  improvements.    

Profitability    

Prices  for  the  cars  that  come  with  the  self-­‐drive  feature  will  increase,  causing  an  increase  in  revenue.    A  specific  increase  in  revenue  cannot  be  determined  because  the  market  will  change  over  time.    

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Political Impact

Despite  having  the  required  technology  to  create  reliable  autonomous  vehicle  systems,  many  political  issues  would  arise  if  driverless  vehicles  were  to  be  introduced  to  the  roads  today.  Without  the  proper  legal  infrastructure,  these  vehicles  would  wreck  havoc  on  an  unprepared  legal  system.  There  are  two  main  legal  issues  and  unfortunately  there  are  few  answers  as  there  is  very  little  legislation  in  progress  concerning  autonomous  vehicle  systems.  

The  main  political  issue  with  autonomous  cars  at  the  moment  is  that,  in  many  regions  of  the  world  they  are  still  illegal.  As  expected,  if  they  are  to  be  introduced  to  public  roads,  major  changes  to  the  rules  of  the  road  must  take  place.  Currently  in  Ontario,  Canada  an  autonomous  car  cannot  legally  be  driven  on  public  streets.  The  Ontario  Highway  Traffic  act  states  a  vehicle  traveling  on  the  road  must  be  driven  by  a  person  who  holds  a  valid  Ontario  driver’s  license1.  Many  experts  agree  that  owners  of  autonomous  cars  will  still  require  driver’s  licenses.  However,  considering  that  the  cars  will  be  driving  themselves  most  of  the  time,  they  will  need  permits  of  their  own.  There  is  currently  no  licensing  system  for  these  cars  in  many  countries  due  to  the  fact  that  they  are  a  relatively  new  invention.  Few  regions  have  legalized  autonomous  vehicles.  These  include  Nevada  and  California,  both  found  in  the  United  States  of  America.  These  permits  were  only  granted  after  Google  spent  over  nine  million  dollars  in  both  the  first  and  second  quarters  of  2012  lobbying  for  the  legalization  of  their  driverless  cars.  If  these  driverless  vehicles  are  to  be  introduced  to  more  streets  in  the  near  future,  massive  legal  changes  must  take  place.  

With  driverless  cars,  the  issue  of  driver  liability  also  arises.  It  is  currently  unclear  who  will  be  at  fault  when  a  collision  involving  an  autonomous  vehicle  occurs.  Will  it  be  the  owner’s  fault,  or  the  vehicle’s  manufacturer’s  fault?  It  will  also  be  difficult  to  determine  if  an  accident  will  be  considered  a  manufacturing  defect.  For  an  accident  to  be  considered  a  manufacturing  defect  there  will  have  to  be  proof  that  the  autonomous  vehicle  and  its  systems  were  directly  responsible  for  the  crash.  Computers  are  not  perfect  and  will  occasionally  malfunction.  This  also  applies  to  the  systems  of  autonomous  cars.  Drivers  will  sometimes  have  to  take  over  when  these  failures  occur.  It  is  currently  unclear  whether  or  not  owners  will  be  legally  required  to  take  control  of  their  autonomous  vehicles  in  emergency  situations.  In  a  1999  study,  an  experiment  was  conducted  to  test  whether  or  not  drivers  would  override  their  simulated  autonomous  cars.  This  study  showed  that  half  of  the  drivers  relied  solely  on  the  cars’  systems  and  did  not  take  over  even  in  the  event  of  a  failure.  Policy  makers  and  governments  will  need  to  use  studies  such  as  this  one  to  determine  who  will  be  at  fault  when  collisions  occur.  It  is  also  unclear  how  distracted  or  drunk  driving  laws  will  be  affected  by  driverless  cars  as  the  owner  of  the  car  might  not  be  driving.      Due  to  the  relative  infancy  of  driverless  cars  there  are  very  few  rules  and  policies  regarding  them.  New  laws  must  be  created  before  driverless  cars  are  introduced  to  the  streets  in  order  to  avoid  serious  legal  setbacks.                    

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Ethical Impact

The  process  in  which  artificial  intelligence  sorts   what  is  ethical  and  what  is  not.  

At  this  point  we  may  be  asking  ourselves,  should  we  trust  robotic  cars  to  share  our  road,  just  because  they  are  programmed  to  obey  the  law  and  avoid  crashes?  Or,is  it  immoral  of  one  to  drive,  because  the  risk  of  you  hurting  yourself  or  another  person  will  be  far  greater  than  if  you  allowed  a  machine  to  do  the  work?  

Google  Chauffeur    

Google’s  driverless  cars  are  already  street-­‐legal  in  three  states,  California,  Florida,  and  Nevada,  and  some  day  may  just  be  mandatory.  Eventually,  automated  vehicles  will  be  able  to  drive  better,  and  safer  than  a  human.  No  drinking,  no  distraction,  better  reflexes  and  awareness  will  all  be  possible.  Within  the  near  future,  the  difference  between  autonomous  driving  and  human  driving  will  be  so  great  that  one  may  not  be  legally  allowed  to  drive  their  own  car.  [3]  

This  will  signal  the  beginning  of  a  new  era,  in  which  it  will  be  mandatory  for  machines  to  have  ethical  systems.  These  vehicles  will  have  to  make  decisions  in  milliseconds,  where  swerving  or  not  means  the  life  or  death  of  innocent  children  on  a  school  bus.  [3]    

Opposing Views

Good  judgment  and  morality  can  sometimes  compel  one  to  act  illegally  

If  a  squirrel  were  to  suddenly  run  into  the  road,  one  would  simply  drift  into  the  opposite  lane  and  go  around  it,  but  an  automated  car  may  not  act  this  way.  The  automated  car  may  follow  the  traffic  laws  that  prohibit  crossing  a  double  yellow  line  and  come  to  a  full  stop.  This  decision  may  avoid  road  kill,  but  it  could  risk  an  accident  with  the  drivers  behind  it.  The  laws  of  the  road  are  not  yet  ready  to  deal  with  the  rise  of  automated  vehicles.    Here  the  question  arises:    Is  it  enough  for  an  automated  car  to  pass  a  human  driver’s  test?    Some  believe  it  would  be  unfair  to  hold  manufacturers  to  a  higher  standard  than  humans,  but  there  are  more  important  differences  that  could  permit  a  more  rigorous  test.  Human  drivers  are  presumed  to  act  ethically  and  wisely  as  they  have  the  ability  to  exercise  judgment  in  diverse  situations,  which  don’t  appear  in  a  standard  driving  test.  Ethics  and  law  conflict  at  times,  as  good  judgment  may  compel  one  to  act  illegally.  Assuming  the  slow  progression  of  the  technology  in  these  vehicles,  they  may  refuse  to  drive  when  a  headlight  is  broken,  even  though  it  is  not  needed  in  the  daytime.  Drivers  may  intentionally  drive  faster  than  the  speed  limit  in  the  case  of  an  emergency,  but  an  autonomous  vehicle  would  never  break  the  law  in  autonomous  mode.  [2]    

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Programming  of  the  Vehicles  The  programming  of  the  car  may  be  one  of  the  many  areas  to  focus  on  as  society  adopts  autonomous  vehicle  technology:    The  Car  Itself  

Moral  calculation  may  vary  depending  on  whether  the  vehicle  is  privately  or  publicly  owned.  The  car  may  be  programmed  to  place  the  owner’s  life  at  higher  value  than  others,  but  an  autonomous  bus  would  be  programmed  differently.  Just  as  the  duties  of  a  bus  driver  vary  from  that  of  a  teacher,  so  will  the  duties  of  their  automated  vehicles.  Depending  on  whether  the  vehicle  is  a  police  car,  fire  truck  or  a  public  transit  vehicle,  it  may  have  to  sacrifice  itself  and  its  occupants  in  certain  situations.  [2]  

Insurance  

Some  believe  that  autonomous  cars  can  avoid  almost  all  accidents,  meaning  that  many  insurance  companies  will  go  bankrupt  and  disappear,  since  there  would  be  little  to  no  risk  to  insure  against.  Others  believe  the  opposite  could  occur,  and  there  could  be  an  increase  in  accidents  as  the  vehicles  are  vulnerable  to  wireless  hacking  since  they  are  networked  together.  [2]  

Abuse  and  Misuse  

This  technology  offers  an  easy  path  for  cyber-­‐carjackers.  If  the  vehicle  is  under  attack  by  hacking  or  an  ordinary  break  -­‐  in,  should  it  speed  away,  alert  the  police,  remain  at  the  scene  for  evidence,  or  defend  itself?  If  these  vehicles  drive  too  conservatively,  they  could  become  a  road  hazard,  or  a  road-­‐rage  trigger  for  human  drivers.  Alcohol  consumption  could  be  encouraged,  as  the  vehicles  are  able  to  safely  drive  passengers  home.  [2]

Evolving Robots

Three Laws of Robotics

Many  discussions  start  with  three  famous  laws  from  Isaac  Asimov:  

A  robot  may  not  injure  a  human  being  or,  through  inaction,  allow  a  human  being  to  come  to  harm.  [3]  

A  robot  must  obey  the  orders  given  to  it  by  human  beings,  except  where  such  orders  would  conflict  with  the  first  law.  [3]  

A  robot  must  protect  its  own  existence  as  long  as  such  protection  does  not  conflict  with  the  first  or     second  laws.  [3]  

Reality  We  are  a  long  way  from  constructing  a  robot  that  can  fully  anticipate  the  consequences  of  any  of  its  actions  (or  inactions).  For  now,  a  robot  is  lucky  if  it  can  predict  what  would  happen  if  it  dropped  a  glass  of  water.[3]  In  another  point  of  view,  Asimov’s  laws  might  not  be  fair  to  robots  or  autonomous  cars.  Asimov’s  laws  effectively  treat  robots  like  slaves.  Perhaps  that  is  acceptable  for  now,  but  it  could  become  morally  questionable  as  machines  become  smarter  and  possibly  more  self-­‐aware.  [3]  

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Human  ethics  themselves  are  a  work  in  progress.  Technology  is  striving  for  machines  that  can  go  a  step  further,  endowed  not  only  with  the  soundest  codes  of  ethics  that  our  best  contemporary  philosophers  can  devise,  but  also  with  the  possibility  of  machines  making  their  own  moral  progress,  bringing  them  past  our  own  limited  early-­‐twenty-­‐first  century  idea  of  morality.  [3]  

“Ethical  subroutines”  may  sound  like  science  fiction,  but  once  upon  a  time,  so  did  self-­‐driving  cars.  [3]  

 

 

 

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Bibliography George Dragoste

Driverless Cars and Eliminating Human Error[infographic] | The Geeky Globe. (n.d.). The Geeky Globe. Retrieved November 22, 2013, from http://www.thegeekyglobe.com/driverless-cars-and-eliminating-human-errorinfographic.html

Driverless Cars, The Law & The Future of Cities. (2013, April 11). City Law. Retrieved November 22, 2013, from http://www3.law.harvard.edu/orgs/citylaw/2013/04/11/driverless-cars-the-law-the-future-of-cities/ Litman, T. (2013, November 4). autonomous Vehical Implementation Predictions. Implications for Transport Planning. Retrieved November 19, 2013, from http://www.vtpi.org/avip.pdf Pavlov, O. (2011, May 6). Autonomous Cars and Society. Autonomous Cars and Society. Retrieved November 21, 2013, from http://www.vtpi.org/avip.pdfhttp://www.wpi.edu/Pubs/E-project/Available/E-project-043007-205701/unrestricted/IQPOVP06B1.pdf Pelletier, D. (n.d.). Positive Futurist - Driverless cars promise huge impact in our everyday lives and end need for DWI lawyers. Positive Futurist - Driverless cars promise huge impact in our everyday lives and end need for DWI lawyers. Retrieved November 22, 2013, from http://www.positivefuturist.com/archive/437.html Silberg, G., & Wallace, R. (2012, November 13). Self-Driving Cars: The next revolution. Self-Driving Cars: The next revolution. Retrieved November 21, 2013, from http://www.kpmg.com/Ca/en/IssuesAndInsights/ArticlesPublications/Documents/self-driving-cars-next-revolution.pdf Benzir Ahmed

[1] Center for Transportation. (2013, November 1). Preparing a Nation

for Autonomous Vehicles: Opportunities, Barriers and Policy Recommendations. Eno Center for Transportation. Retrieved November 24, 2013, from https://www.enotrans.org/wp-content/uploads/wpsc/downloadables/AV-paper.pdf

[2] Beiker, S. (2013, October 22). You Won't Recognize the First Automated Vehicles. MIT Technology Review. Retrieved November 24, 2013, from http://www.technologyreview.com/view/520556/you-wont-recognize-the-first-automated-vehicles/

[3] DePriest, D. (2001, April 24). Differential GPS. DGPS on Garmin

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Receivers. Retrieved November 24, 2013, from http://www.gpsinformation.org/dale/dgps.htm

[4] Efrati, A. (2012, October 22). Google's Driverless Car Draws Political Power. The Wall Street Journal. Retrieved November 24, 2013, from http://online.wsj.com/news/interactive/GOOGCAR_pg?ref=SB10000872396390443493304578034822744854696

[5] Fisher, A. (2013, September 18). Inside Google's Quest To Popularize Self-Driving Cars. Popular Science. Retrieved November 24, 2013, from http://www.popsci.com/cars/article/2013-09/google-self-driving-car

[6] Guizzo, E. (2011, November 18). How Google's Self-Driving Car Works.

IEEE Spectrum. Retrieved November 21, 2013, from http://spectrum.ieee.org/automaton/robotics/artificial-intelligence/how-google-self-driving-car-works

[7] Knight, W. (2013, October 22). Driverless Cars Are Further Away

Than You Think. MIT Technology Review. Retrieved November 24, 2013, from http://www.technologyreview.com/featuredstory/520431/driverless-cars-are-further-away-than-you-think/

[8] Latest News. (2013, January 21). Audi UK. Retrieved November 24, 2013, from http://www.audi.co.uk/about-audi/latest-news/audi-autonomous-cars-could-ease-driving-drudgery.html

[9] National Ocean Service. (2013, January 22). What is LIDAR?. Retrieved November 24, 2013, from http://oceanservice.noaa.gov/facts/lidar.html

[10] Simonite, T. (2013, January 8). Audi Shrinks the Autonomous Car. MIT Technology Review. Retrieved November 24, 2013, from http://www.technologyreview.com/news/509676/audi-shrinks-the-autonomous-car/

Christopher Basalo

[1] Seer, E. (2012, August 20). “Consequences of Intelligent Transport;

The Good and Bad - Driverless Cars.” Retrieved November 25th 2013 from

http://www.seer.ws/wp-content/uploads//squirrel-death.jpg

[2] Lin, P. (2013, October 8). “The Ethics of Autonomous Cars.”

Retrieved November 25th 2013 from

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autonomous-cars/280360/

[3] Marcus G. (2012, November 27) “Moral Machines.” Retrieved November

25th 2013 from

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driverless-car-morality.html

[4] Cowper, C. (2013 October 5) “Ethics in Action’s First Project for

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Fall Semester.” Retrieved November 25th 2013 from

http://sandbox.spcollege.edu/index.php/2013/10/ethics-in-actions-first-

projects-for-fall-semester/

[5] Retrieved November 25th 2013 from http://www.acfe.com/ethics-and-

compliance.aspx

[6] Gardiner, B. (2012, December 21) “irobot.” Retrieved November 25th

2013 from http://business-technology.co.uk/2012/12/did-the-mayans-

predict-terminator/irobot/

Daniel D’Angelo

UPSVoice. (2013, September 12). Are Driverless Cars The Next Delivery Person For Your Business?. Forbes. Retrieved November 22, 2013, from http://www.forbes.com/sites/ups/2013/09/12/are-driverless-cars-the-next-delivery-man-for-your-business/

Category Archives: Impact of driverless cars. (n.d.). Driverless car market watch. Retrieved November 22, 2013, from http://www.driverless-future.com/?cat=26

Common menu bar links. (n.d.). Canadian Vehicle Survey 2005, Summary Report. Retrieved November 22, 2013, from http://oee.nrcan.gc.ca/Publications/statistics

Filip Pichtikov

Ontario, G. o. (2012). 7.(1). Highway Traffic Act (pp. ). Toronto, Ontario: Goverment of Canada. (Original work published 1990).

Dick de Waard, Monique van der Hulst, Marika Hoedemaeker & Karel A. Brookhuis (1999). Driver Behavior in an Emergency Situation in the Automated Highway Syste. Transportation Human Factors (1st ed., pp. ). Holland: Taylor & Francis. (Original work published 1999).

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Justification After  thorough  revision  of  our  Driverless  Cars  Report,  we  found  it  to  have  a  number  of  problems.  First  off  was  the  organization  of  the  report.  Originally  we  did  not  necessarily  have  one  report;  instead  we  had  a  series  of  reports  placed  in  one.  We  have  re-­‐written  and  reorganized  the  report  to  flow  and  avoid  repetition  of  points.  The  research  was  streamlined  and  all  information  that  was  irrelevant  or  unimportant  was  removed.  Paragraphs  were  edited  in  order  to  be  concise  and  straight  to  the  point.  Basically,  the  goal  was  to  reduce  the  length  of  the  report  to  a  minimal  length  while  still  concise  and  thorough  report.  Expressions  and  sayings  were  removed  with  more  professional  language  and  spelling  and  grammar  checks  were  made.  Overall,  we  were  content  with  the  information  and  content  we  provided  and  achieved  in  our  report.  We  believe  it  was  well  researched  and  relevant  for  the  most  part  in  our  goal  to  provide  an  coherent  report.  The  changes  made  are  believed  to  be  improvements  of  the  previous  admission,  as  they  enhanced  the  Organization,  Grammar,  Content  and  overall  Mechanics  of  the  report  itself.    Learning  Experience  

• Through this assignment we have learned how to streamline research into relevant and important information that aid the content in a report

• We have learned how to work with the mechanics of a report in order to create a coherent order for the different sections. We have also managed to refine the information to prevent overlap in content and repetition

• Through research and teamwork, we have learned how to work effectively in a group and combine content into a report of reasonable length. We have also learned how to perform a presentation as a group while interacting with each other and aiding each other in the process