deeper into the aspects of the need for · 2014-07-10 · •Adaptive Cruise Control (ACC) •...

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Transcript of deeper into the aspects of the need for · 2014-07-10 · •Adaptive Cruise Control (ACC) •...

Page 1: deeper into the aspects of the need for · 2014-07-10 · •Adaptive Cruise Control (ACC) • controlling the speed at which the vehicle moves wrt vehicle immediately ahead. •
Page 2: deeper into the aspects of the need for · 2014-07-10 · •Adaptive Cruise Control (ACC) • controlling the speed at which the vehicle moves wrt vehicle immediately ahead. •

This term paper explores the impact of

autonomous vehicles on safety. In

doing so, the paper aims to delve

deeper into the aspects of the need for

a safety – centric technology

enhancement. An insight into the most

possible causes of such an excitement

in the field of autonomous vehicles has

a lot to do with the safety and so, a

review of the safety enhancement

technologies in these vehicles shall be

covered. However, challenges shall still

remain in order to fulfill the longer

term goal of seamless adoption and

integration of this technology. The last

part of this paper shall deal with that

aspect in detail.

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BACKGROUND

AUTONOMOUS VEHICLES

WHY SAFETY?? (IMPACTS)

SAFETY ENHANCEMENT TECHNOLOGIES (REVIEW)

MARKET PENETRATION

CHALLENGES

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Pre 1980

• GM presented a vision for “driverless cars” (1939)1

• US DOT initiatives heralded by advancements in computing technology (late 60s – late 70s)

1990s

• NAHSRP – main goal: develop specifications for a fully automated highway system.

• NAHSC2 – motivation: help build broad interests required for early development & deployment of fully automated highway systems.

2000s

• DARPA Grand Challenge3 – 2004, 2005 & 2007.

• Thrust towards advancement in related technology –> ACC, self – parking, automatic lane keeping & crash avoidance systems.

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Lot of excitement since 2012

Potential benefits:

Additional mobility option for elderly.

Better & more productive use of travel time.

Safer alternative- very high crash reduction possibilities

Reduction in emission & fuel consumptions – better driving & braking standards

Increased capacity on highways due to closer spacing of vehicles on the road.

KPMG (2012)

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Fatality rates for year 2007 – 41059 (US)4, ~ 40000 (EU)5.

Automotive industry indulging in active research on crash avoidance technologies due to the massive benefits from the same.

Benefits

Crash reduction – human error plays a dominant role in >90% of the crashes; sole reason for crashes (75% cases)7

Of these 75% crashes, 41% - recognition errors & 34% - driver indecision.

Braking failure – 25% of all crashes; braking one second earlier reduced all brake related crashes by half.6

Billions of dollars in crash related losses saved !!!

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Safety enhancement technologies (Control

systems)

Lateral Control

Lane Departure Warning System

(LDWS)

Lane Keeping Assist Systems (LKA)

Parallel Parking Assist

Longitudinal Control

Adaptive Cruise Control (ACC)

Pre Crash Braking Assist

• Lane Departure Warning Systems

(LDWS) • “to avoid run – off road and sideswipe

crashes and to support the driver in lane –

keeping.”8

• Methods:

• Embedded magnetic markers on the

field (most accurate)9

• Highly accurate GPS maps.

• Image processing (most suitable)7

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• Lane Keeping Assist Systems (LKA) • small adjustments to the steering to ensure

that the vehicle stays in the same lane.

• only a small amount of torque required to

overcome actuation11 –> driver alertness issue

–> rectified by asking for certain driver input

over time.

• Parallel Parking Assist • fitted with a rear view cam assisting the driver

while he controls the braking & acceleration.

Konca M & Forrest A (2007)

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• Adaptive Cruise Control (ACC) • controlling the speed at which the vehicle

moves wrt vehicle immediately ahead.

• dynamic process, speed shifts occur all

the time.

• when the vehicle ahead moves into

another lane, speed reset again.11

• Pre – Crash braking assist • use ACC to detect possible collisions.

• If high rate, pre – arm the brakes; • reduces SSD.

• reduces collisions due to bad braking.11

Konca M & Forrest A (2007)

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Littman (2013)

Littman (2013)

KPMG (2012)

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Reliability & Robustness of

Technology

“Since cars will likely travel more closely

together than they do currently, fail – safe

braking is one essential to avoid a chain

collision. Also, it’s hard to see autonomy getting

much traction until sensor technology is widely

installed on cars – they have to talk with each

other for it to work.” - Dr. Azim Eskandarian.

Other apprehensions – GPS spoofing, non –

performance of LIDAR in inclement weather.

Altera (2010)

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Consumer Perception & Market

Penetration

Skepticism towards autonomous vehicles is a

consequence of trust (mistrust)

“Public opinion can be gained only by

demonstration, not by use.” – Prof Clifford Nass.

Consumers willing to cede “control” to the

autonomous vehicle only if the vehicle drives

more adeptly than human.

Major deterrent – the idea that a machine

could kill a human being, despite their very

slim chances.

Skill degradation – major issues during

possible system failures.

FAA advised pilots to fly more manual than autopilot.

Risk homeostasis – drivers willing to accept

more risks as they blindly believe in

technology.

Kurzweil (2011)

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Legislation & Liability

Legislation is cloudy over the status of

autonomous vehicles; different states have

different rules. (Legal: CA, NV, FL)

Future issues dealt in terms of negative liabilities

–> what is not illegal, is legal. (Dr. Ryan Calo)

Universally acceptable legislation lacking –>

direct impact on safety in the minds of the

consumer.

Major liability issues –> nobody wants to be

blamed during the event of a crash.

Directly impacting insurance companies which

provide cover for these risks.

Risks?? What kind of risks?? Even they don’t know

that.

Morris - BC

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1. Robert A. Ferlis. (2007). The Dream of an Automated Highway. http://www.fhwa.dot.gov/publications/publicroads/07july/07.cfm

2. Cheon, S. (2003). An Overview of Automated Highway Systems (AHS) and the social and institutional challenges they face. http://www.uctc.net/papers/624.pdf

3. Lu, B & Moore, M (2012), Autonomous Vehicles for Personal Transport: A Technology Assessment http://www.pickar.caltech.edu/e103/Final%20Exams/Autonomous%20Vehicles%20for%20Personal%20Transport.pdf

4. NHTSA (2008). National Motor Vehicle Crash Causation Survey – Report to the Congress. http://www-nrd.nhtsa.dot.gov/Pubs/811059.PDF

5. European Commission/ Information Society and Media, i2010:Intelligent Car http://europa.eu.int/information_society/activities/policy_link/brochures_2006/documents/intelligent_car.pdf

6. IVsource.net/(Article)Low Speed Automation Using Multiple Sensors( July 31, 2000) http://www.ivsource.net/archivep/2000/jul/a000731_carsense.html

7. Lay, R & Saxton, L. Vehicle Highway Automation. http://onlinepubs.trb.org/Onlinepubs/millennium/00144.pdf

8. Intelligent Vehicle Technology and Trends (e-book) / Richard Bishop http://site.ebrary.com/lib/wpi/Doc?id=10091339

9. Konca, M & Forrest, A. (2007). Autonomous Car & Society IQP OVP 06B1. Worcester Polytechnic Institute, MA. http://www.wpi.edu/Pubs/E-project/Available/E-project-043007-205701/unrestricted/IQPOVP06B1.pdf

10. Littman, Todd (2013). Autonomous Vehicle Implementation Predictions: Implications for Transport Planning. Victoria Transport Policy Institute. http://www.vtpi.org/avip.pdf

11. KPMG (2012), Self-Driving Cars: The Next Revolution, KPMG and the Center for Automotive Research; at www.kpmg.com/Ca/en/IssuesAndInsights/ArticlesPublications/Documents/self-driving-cars-next-revolution.pdf

12. Mother Nature Network (2012-09-25). Self-Driving Cars will Take Over By 2040. http://www.forbes.com/sites/eco-nomics/2012/09/25/self-driving-cars-will-take-over-by-2040/

13. Franceschi-Bicchiera, L. (2012). Drone Hijacking? That’s Just the Start of GPS Troubles. http://www.wired.com/dangerroom/2012/07/drone-hijacking/

14. Marks, P. (2012). GPS jamming: a clear and present reality. http://www.newscientist.com/blogs/onepercent/2012/02/gps-jamming-a-clear-and-presen.html

15. Waterman, S. (2012). North Korean jamming of GPS shows system’s weakness. http://www.washingtontimes.com/news/2012/aug/23/north-korean-jamming-gps-shows-systems-weakness/?page=all

16. Urmson, C. (2012). The self-driving car logs more miles on new wheels. http://googleblog.blogspot.com/2012/08/the-self-driving-car-logs-more-miles-on.html

17. Human Rights Watch. (2012). Arms: New Campaign to Stop Killer Robots. http://www.hrw.org/news/2013/04/23/arms-new-campaign-stop-killer-robots

18. Lee, J. and N. Moray (1994). Trust, self-confidence, and operators' adaptation to automation. International Journal of Human-Computer Studies 40: 153-184. www.sciencedirect.com/science/article/pii/S107158198471007X

19. Federal Aviation Administration (2013). Safety Alert for Operators 13002. F. S. Service. Washington DC, Department of Transportation http://media.nbcbayarea.com/documents/SAFO130021.pdf

20. WIlde, G. J. S. (1998). "Risk homeostasis theory: an overview." Injury Prevention 4: 89–91. http://injuryprevention.bmj.com/content/4/2/89.full

21. Smith, W.B (2012), Automated Vehicles are Probably Legal in the United States, The Centre for Internet & Society at Stanford Law School and Center for Automotive Research at Stanford http://cyberlaw.stanford.edu/files/publication/files/2012-Smith-AutomatedVehiclesAreProbablyLegalinTheUS_0.pdf

22. European Commission (2010), Definition of necessary vehicle and infrastructure systems for Automated Driving (pp. 1–111). Brussels http://ec.europa.eu/information_society/activities/esafety/doc/studies/automated/reportfinal.pdf

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