The Google Self-Driving Automobile

Google Auto Pilot In 2010, Google Radio announced that it had created a prototype for a self-propelled vehicle; its aim is to avoid collisions and allow citizens to reduce harmful pollutants produced by cars more time (Poczter & Jankovic, 2014). At the center of the automated driving vehicle is a laser attached to the modified Toyota Prius's roof to generate an accurate three-dimensional atlas around the car. In addition, this car is equipped with four radars, you can accurately create a surrounding 3 dimensional map with another laser around the car (Poczter & Jankovic, 2014).

Perhaps most people are familiar with Google Cars who accumulated over 160,000 hours (as a result of human error) when the first accident occurred, and many people are familiar with 3D printing as well. There are few people who know that it is a more destructive technology, such as contouring, vacuum tube transport, automatic agricultural facilities, etc. - perhaps only people who are active in the futuristic community. The economically hazardous possibilities of these technologies are as clear as the destructive possibilities of Google's cars. Google Cars can replace almost all driving tasks, contouring can replace all construction work, vacuum tube transport can replace all long distance travel and transport.

Among the obvious successes of automation is much less than its appearance. Advances in Google autonomous vehicle technology are attracting attention. However, Google Cars works by comparing its location with a very detailed road map, road signs and all known obstacles. Google employees need to enter this data manually. Google Car can not run in unfamiliar terrain. It faces a non-mapped road that is closed or bypassed, it needs a human pilot to stop and take over. Newly installed traffic signals that do not exist in the database are ignored. Google Cars has safely driven more than 700,000 miles by repeatedly driving the same miles that have already been mapped. Computers can perform daily tasks very well, but encounter difficulties with tasks that are not molded.

Automatic Driving Vehicles - Technology leaders such as Google and Uber are developing autonomous vehicles. Edge computing can play an important role in processing and sending important data in real time to other commuter vehicles. Google and Uber wish to make autonomous vehicles a reality of consumers by 2020. I think autopilot vehicles can save thousands of lives and billions of dollars of car casualties. We live and experience this smart and smart digital world, and with important contributors who produce the necessary data, its surrounding technology giants, Amazon, Uber, Google, AT & T, フ ェ イ ス ブ ッ ク, IBM, NTT I am fortunate to be able to become. We are waiting for them to build technical strength, ultimately serve us and help us to lead a better life.