Why Big Data is the Future of Self-Driving Cars?
Name:李欣芸
ID:D0740772
Blog #1 Why Big Data is the Future of Self-Driving Cars?
Self-driving cars have been a popular part of our social imaginings for decades, with everything from Tesla's autopilot to autonomous flying cars from The Jetsons coming across our minds when we summon the concept.
While much of the ongoing conversation surrounding self-driving cars is centered on moral dilemmas like how they should respond in the event of a crash, not enough attention is being paid to the diverse ways that big data will be necessary for the future of autonomous vehicles.
1)Self-driving cars need big data to see
The simplest reason that self-driving cars need big data is that they simply cannot see without it. While self-driving cars are equipped with cameras and sensors that enable them to survey and interact with their local environments, they are entirely useless without access to a reliable stream of data about what is around them and what they should be expecting down the line. Some autonomous cars are already guzzling data down faster than they are gasoline.
Soon, our self-driving cars may be equipped with artificial intuition, or the ability for a car to autonomously predict what is about to occur, so it can react accordingly to preserve the safety of passengers and civilians alike. As you might imagine, artificial intuition is an essential part of designing self-driving cars that do not terrify the public and comply with local traffic laws to avoid getting a traffic ticket; without the ability for these autonomous vehicles to make wise, justified decisions to save lives in the event of a car accident, few people will ever buy into self-driving cars as a viable option for the future of transportation.
2)The auto industry is already boosting the IoT
The smartest people in the auto industry understand that big data is the future of self-driving cars and they are reacting accordingly by investing heavily into the IoT. Research has demonstrated that the automotive industry is on track to move away from "connected" vehicles toward full autonomous vehicles that are so apart of their local IoT grid that they have become ingrained into the nebula of gadgets and sensors that make up most modern cities. In the IoT, everything is communicating with everything else, so your self-driving car may soon be chatting with sensors on the highway or city it is driving in to determine the most suitable route for traffic.
It is becoming quite clear that the tech for automated cars is already here, but we lack the data to make that tech function in a desirable way. Even a few human lives lost to self-driving cars is enough to scare the public and disincentivize investors enough to possibly kill this trend before it ever takes off. If self-driving cars are to have a bright future on our roads, tech companies and automotive manufacturers need to come together to vacuum up data in a more efficient manner than ever before.
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ReplyDeleteNice sharing, one of the most applications of big data is to improve self-driving technique. This is a big challenge to human because it's not easy to achieve compare to other applications. However, big data can used step by step as you said in the article (boosting IoT first). Gradually, from collecting data and analyze it to connect it to sensitive devices automatically. I believe that in several years we can see the self-driving cars on the road. Although these technologies provided small steps toward automation, they remained milestones away from a fully automated vehicle. However, over the last decade, with the large range of advancements that have been made in technology and the newfound use of big data, tech companies have discovered the necessary programming for fully automating vehicles. Autonomous vehicles rely entirely on the data they receive through GPS, radar and sensor technology, and the information they process through cameras. Besides, from the article, I think that many cities tend to use big data technique to deal with traffic congestion. Thus, predictive analytics become an important issue to help government predict future travel demands. Besides, they build a transportation model to run data set in order to take the optimal decision. Although this is not easy, I believe our big data tech can be improved in a few years. Finally, this article helps me to understand the hot topic nowadays – self driving which is very interesting for me. This is a good article for us to know big data issue.
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