All About Google Cars
Introductory Video
Introduction To Google Cars

The Need for automation
  • Accommodate older generation
  • The need to decrease accidents caused by human error such as drunk driving
  • Technologic world
What is a Google Car? and how it works…
  • Autonomous driving done by operating systems/software
  • Data from extremely precise maps to determine road conditions
  • Compared to the human mind : rely on past experience to form perceptions of the sensory inputs from environment
  • Complex machine learning algorithms
The continuous plan to master safety
  • Google has already begun testing about a dozen autonomous vehicles, stacking up about 700.000 miles combined.
  • Within the first stages of the testing phase, there has been two accidents, one of which was hit while sitting at a stoplight and the other crashed while car was on manual mode. Drivers whom decides to test these vehicles must, under current laws, have a valid driver’s license and be able to switch to the manually driving mode at any time
  • Google is continuing to perfect the “safety component” of its vehicles, with a program that will involve 200 new purpose- built autonomous vehicles
Real life example: Transportation industry

• An industry that would be adversely affected by automated cars would be the transportation industry. There are roughly 420,000 commercial freight trucks in Canada alone to meet the needs of many industries.

• A growing economy and the increasing number of Canadian exports necessitate more trucks and drivers. However, if the capabilities of Google’s automated car can be safely expanded out of city limits and utilized with freight trucks, the demand for any drivers would greatly diminish.

On the other hand

The majority of truck related traffic accidents can attributed to human error; meaning that the potential implementation of driverless trucks could decrease accidents and reduce costs across multiple industries A more science-fiction like advancement for cars could be a reality in the near future. By combining the self-driving capabilities with the self-learning vehicles of Mercedes or Land Rover will make a seemingly, although rudimentary, artificially intelligent car.

Works Cited

Maney, K. (2014, July 03). Google has shown that self-driving cars are ineviatable. Retrieved from The independent: http://www.independent.co.uk/life-style/motoring/features/google-has-shown-that-selfdriving-cars-are-inevitable--and-the-possibilities-are-endless-9547231.html Statistics Canada. (2004). Statistics Canada. Retrieved from Motor Vehicle Accident Deaths: http://www.statcan.gc.ca/pub/82-003-x/2008003/article/10648/5202440-eng.htm

Bibliography
Maney, K. (2014, July 03). Google has shown that self-driving cars are ineviatable. Retrieved from The independent: http://www.independent.co.uk/life-style/motoring/features/google-has-shown-that-selfdriving-cars-are-inevitable--and-the-possibilities-are-endless-9547231.html
Transformational Technology
Driverless driving would be seen as a transformational technology to our society, accompanied with extremely radical changes comprised of both positive and negative outcomes.
Positive
  • Human error such as drunk driving, distracted driving, and also careless driving would be something of the past

  • Cars can be sent out alone to do errands such as picking up children and get repairs on its own

  • Environmentally friendly (most of the self-driving cars run solely on electricity)

Negative
  • Traffic explodes as cars may be sent out to perform errands without driver

  • Jobs such as Taxi drivers, Bus drivers, Deliver vans/trucks, may be impacted or even extinct

  • Roads to be filled with Lifeless Robotic cars, would be hard to signal to other drivers which may cause problems.

Bibliography
Maney, K. (2014, July 03). Google has shown that self-driving cars are ineviatable. Retrieved from The independent: http://www.independent.co.uk/life-style/motoring/features/google-has-shown-that-selfdriving-cars-are-inevitable--and-the-possibilities-are-endless-9547231.html
Safety Issues
     Findings published from the government of Canada found that two leadings cause of motor vehicle accidents (MVA), were undesirable weather conditions and human-errors (Statistics Canada, 2004). While weather still remains an uncontrollable factor, human errors on the other hand may be successfully eliminated with the introduction of Google’s autonomous vehicles. While this project is still in the early stages, Goggle has already began testing about a dozen of its autonomous vehicles, stacking up about 700,000 miles in total with each tester vehicle going at a maximum speed of 25miles/hour . In the first stage of the testing phase, there have been a total of two accidents, one of which was hit while the care was sitting at a stoplight, and the other crashed while the vehicle was on Manuel mode. Apart from Google’s own testing program, which is set to enlarge the dozens of google vehicles to allow 200 vehicles on the road within the next couple of years, google are also ready to submit its vehicles for the official testing administered by State level DMV. Lastly it is important to note that, under current laws, all testers of these vehicles must be in possession of a valid driver’s license and be able to witch to manual driving mode at any given time.

Information
237 Group Project - Group G2

Danielle Hao
Matthew Nguyen
Agnes Francisco
Jessica Zheng

Archives
Credits
Basecode Credit x.
Design by Dani Hao