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Google's Driverless Car Project
1. Google’s Driverless Car Project
YIP, Chi Wai (Ray) (10414352)
LEUNG, Hong Kiu (Kimmy) (10238057)
YIU, Wing Hei (Adia) (10033500)
KAM, Xin’er Elissa (10466850)
CHIANG, Joan (10474223)
ENGG1150
Spring 2013
9. Google Driverless Car Project
What?
A project dedicated to development of driverless car technology
When?
Informally since 2005
From 2010, by a formal team of 15 engineers from Google
Progress so far?
Google currently lobbying for driverless car laws in more states in the
US
Nevada as the 1st
state having passed such law in mid-2011
(operation of driverless cars)
Florida and California as the 2nd
and 3rd
state in early and late 2012
respectively (though limited to only testing purpose)
First and only license issued in Nevada in early 2012 to a Google-
owned, modified Prius
10. Seeing is believing…
Google’s Driverless Car on TED by Sebastian Thrun
http://www.youtube.com/watch?v=7CyqfwStKZc
2:30 – 2:42
12. Devices involved
Laser sensor on the roof
(1.5 million
measurements per
second)
Radar sensor in front
and rear bumpers
GPS
Settings of driving personalities
Self-learning Program HD camera looking out and inward
from the windshield
13. Map of the surroundings
No blind spot – e.g. pedestrian emerged from between
two parked cars
15. Effective and efficient parking
Use of sensor
Measuring parking space available
Determining if there is sufficient space
Steering itself into the space
In essence, automatic search for suitable parking space
within designated area, and then execution
27. 6. Application in various industry
Elimination of breaks in between
Lessen the burden of the truck
drivers
Taxi industry??
28. 7. Saving of parking space
Independently
seek parking
Demand for
adjacent
parking
decrease
Conversion to
other land uses
29. 8. Transportation will no longer be
a hindrance
The previously excluded
-The disabled
-The elderly
-Even the kids
30. Challenges
Cost Issue
Total cost: US$ 300,000
includes:
•Laser system - $ 70,000
•Hi-tech Equipment - $ 150,000
Estimated market of $ 2 Trillion in the US alone
OVERVALUED Market?
Is it a US Opportunity?
Or a GOOGLE Opportunity?
Sources: Forbes.com
31. Challenges
“Driverless car” still illegal in 50 states
But progress to accepting these cars is happening…
Nevada Department of Transportation: developing regulations to
driverless cars with a goal for it to go mainstream
44. Does the Innovation make the
product more profitable?
Short Term
- Difficult to make this innovation profitable as the
technology requires expensive sensors, computing
power and software.
- Market is still small needs time to grow
- Issue of economies of scale
Long Term
- Demand is higher. Automated driving means more
people can use cars, and more cars can be fitted
safely on roads.
More profitable because of cost saving
- Cars don’t have to be as robust (Less accidents)
- More time as passengers, so they are less aware of
how well a car performs. (Manufacturers change
focus)
45. Use of Wifi (incl. 3G) technology
Critical criteria
(in order of
significance)
Wifi Bluetooth
Range 300 feet+ ~30 feet
Security Higher
(if configured properly)
Lower
Interconnectivity
with relevant
stakeholders
Higher
(server/network concept)
Lower
(device-to-device concept)
Cost Higher
(yet acceptable)
Lower
Overall Better Worse
48. Sources
No Hands, No Feet: My Unnerving Ride In Google's Driverless Car
http
://www.forbes.com/sites/joannmuller/2013/03/21/no-hands-no-feet-my-unnerving-ride-in-goo
/
Google Cars Drive Themselves, in Traffic
http://www.nytimes.com/2010/10/10/science/10google.html
Fasten Your Seatbelts: Google's Driverless Car Is Worth Trillions
http
://www.forbes.com/sites/chunkamui/2013/01/22/fasten-your-seatbelts-googles-driverless-car
/
How Google's Self-Driving Car Works
http://jalopnik.com/5851324/how-googles-self+driving-car-works
49. Sources
How will driverless cars affect our cities?
http://cityminded.org/how-will-driverless-cars-affect-our-cities-6526
Look, no hands
http
://www.economist.com/news/special-report/21576224-one-day-every-car-may-come-invisible-chauffeur-look-no-
hands
Fasten Your Seatbelts: Google's Driverless Car Is Worth Trillions
http://www.forbes.com/sites/chunkamui/2013/01/22/fasten-your-seatbelts-googles-driverless-car-is-worth-
trillions/
How Google's Self-Driving Car Works
http://jalopnik.com/5851324/how-googles-self+driving-car-works
different driving personalities — from cautious, in which it is more likely to yield to another car, to aggressive, where it is more likely to go first
HK: many cars
Driver-related factors Driving inattentively Driving too close to vehicle in front Lost control of vehicle Careless lane changing Careless cycling
The keys to climate control are in your hands. You can boost the overall fuel-efficiency of your car as much as 30% by simple vehicle maintenance and attention to your style of driving. Here are some tips on fuel-efficient driving that will not only reduce greenhouse gas emissions and other pollutants, but could save you hundreds of dollars a year in fuel costs. TIPS FOR FUEL-EFFICIENT DRIVING: Avoid aggressive driving. "Jack-rabbit" starts and hard braking can increase fuel consumption by as much as 40%. Tests show that "jackrabbit" starts and hard braking reduces travel time by only four percent, while toxic emissions were more than five times higher. The proper way is to accelerate slowly and smoothly, then get into high gear as quickly as possible. In city driving, nearly 50% of the energy needed to power your car goes to acceleration. Drive steadily at posted speed limits. Increasing your highway cruising speed from 55mph (90km/h) to 75mph (120km/h) can raise fuel consumption as much as 20%. You can improve your gas mileage 10 - 15% by driving at 55mph rather than 65mph (104km/h). Note how quickly efficiency drops after 60 mph.
Two-second rule From Wikipedia, the free encyclopedia a way for the defensive driver to judge the minimum safe following distance to help avoid collisions under ideal driving conditions. The red car's driver picks a tree to judge a two-second safety buffer. a rule of thumb by which a driver may maintain a safe following distance at any speed---a driver should ideally stay at least two seconds behind any vehicle that is directly in front of the driver's vehicle. The two-second rule is useful as it can be applied to any speed. It is equivalent to one vehicle-length for every 8 km/h (5 mph) of the current speed, but drivers can find it difficult to estimate the correct distance from the car in front, let alone to remember the stopping distances that are required for a given speed two-second rule gets around these problems, and provides a simple and common-sense way of improving road safety. dramatically reduce risk of collision, and also the severity of an accident should an accident occur; avoid tailgating and road rage for all drivers. The risk of tailgating is largely caused by the accident avoidance time being much less than the driver reaction time. Driving instructors advocate that drivers always use the "two-second rule" regardless of speed or the type of road. During adverse weather or hazardous conditions such as black ice, it is important to maintain an even greater distance of three or four seconds. The two-second rule tells a defensive driver the minimum distance needed to reduce the risk of collision under ideal driving conditions. The allotted two-seconds is a safety buffer, to allow the following driver time to respond. To estimate the time, a driver can wait until the rear end of the vehicle in front passes any distinct and fixed point on the roadway - e.g. a road sign, mailbox, line/crack/patch in the road. This should be done without looking up for more than one second, which would defeat the purpose. After the car ahead passes a given fixed point, the front of one's car should pass the same point no less than two seconds later. If the elapsed time is less than this, one should increase the distance, then repeat the method again until the time is at least 2 seconds. One can count the duration of time simply by saying "zero... one... two" but for greater accuracy, it is suggested that drivers say "only a fool breaks the two-second rule". At a normal speaking rate, this sentence takes approximately two seconds to say, and serves as a reminder to the driver of the importance of the rule itself. The National Safety Council suggests that a three-second rule -- with increases of one second per factor of driving difficulty -- is more appropriate. Factors that make driving more difficult include poor lighting conditions (dawn and dusk are the most common); inclement weather (ice, rain, snow, fog, etc.), adverse traffic mix (heavy vehicles, slow vehicles. impaired drivers, pedestrians, bicyclists, etc.), and personal condition (fatigue, sleepiness, drug-related loss of response time, distracting thoughts, etc.). For example, a fatigued driver piloting a car in rainy weather at dusk would do well to observe a six-second following distance, rather than the basic three-second gap.
The characteristics of this driverless car is the gps sensor, which made it able to drive it by itself Normally, being the driver, we need to drive the car Now, with this special ability, people now can even work in the car Obviously, this can help to increase productivity And we have come up with some data to illustrate how its going to raise productivity In US, an average of 61.1% people drive to work And they usually spend more than an hour on commuting With this driverless car, it can help this majority of people to save more than an hour everyday Which then increase the productivity Also contributing to the increase in US GDP http://www.usatoday.com/story/news/nation/2013/03/05/americans-commutes-not-getting-longer/1963409/
Another application of the driverless car would be on trucks With this application, the truck can jus move by itself transferring stocks from one place to another place 1. More trucks can be used in transferring stuff increase productivity 2. As we all know truck drivers are usually working long hours and need to drive for long distance esp in HK Theres a news reporting that a truck driver at the container terminal who named Au Sau-ninis working 14 hours per day from 8am to 10pm. Working long hours causes drivers easily get fatigue and exhausted Introducing the driverless car, reduce the burden of the truck drivers, though there maybe some setbacks… Extending the application of the truck industry, actually it can also be widely applied in various industry For example, the taxi industry Somehow it is quite costly to own a car How about you can use the car when you really need it? Theres a possibility of creating a driverless car renting industry proiding car-sharing services and also entering the tai industry
http://cityminded.org/how-will-driverless-cars-affect-our-cities-6526 After dropping off passengers, driverless cars will independently seek parking (or their next car-share customers) As soon as driverless cars are common enough, the demand for adjacent parking will dwindle and parking lots in areas where land is sufficiently valuable will be ripe for conversion to other land use.
So in this picture, we see a kid sitting on the driver’s seat Maybe the heading is a bit misleading Its not about the kid can drive With the driverless car, we can imagine it acts as a driver And drive this kid from one point to one point Sometimes maybe the kids’ parents are not available to pick up the kids This car would then be a very useful tool to help the parents And we can say tht now with this driverless car everyone can drive!
Elissa
Breakdown in middle of road – require a mechanic or computer/robotics specialist? If travelling to rural areas, no computer engineer/ google specialist… who to ask for repair?
Range: Imagine instructing your car in garage from your room in a typical US house; Imagine instructing your car not at your garage, but in the neighborhood, perhaps having just sent your kids to school Security: Encryption Imagine situation you drop your bluetooth device, cell phone (bluetooth situation) VS secure log-in, immediate shut down of access to network/servers (wifi situation) Interconnectivity: e.g. car manufacturer, autopilot service provider, police dept, transport dept