Driverless Cars

Many choices that people make today – from interpreting medical images to choosing books or films – can now be made by computer algorithms with advanced analytical capabilities and access to large data stores. Artificial Intelligence penetrates our worlds, not by overtaking our lives as responsive machines, but by slowly extending into areas of decision-making that were previously human-exclusive. We're right in the midst of the information revolution, and while it's an exciting time and place to be in, one has to look out for the consequences that come with it. These relatively harmless examples get a machine that tells you how long your trip is going to be, what music you're going to listen to, and what content you're likely to engage with. Nowadays, scientist have furthered their creativity and decided to use artificial intelligence on cars. Everyone imagines flying cars in the future but now we have driverless cars. Vehicles will be able to operate on their own without a driver. The Artificial Intelligence (AI) network must first undergo rigorous training to understand how to see, comprehend what it is doing, and make the right decisions in any possible traffic situation in order for the car to actually be able to drive without user control. In order to be autonomous, a car must be constantly aware of its environment — first, by perceiving (identifying and classifying data) and then working on the information by autonomous vehicle/computer control. Autonomous vehicles require safe, effective and highly sensitive solutions to be able to make split-second decisions based on a thorough understanding of the driving environment. Knowing the driving environment involves an immense amount of data gathered throughout the car by a multitude of different sensors, which are then analyzed by the autonomous driving computer system of the vehicle.In order for the car to be fully capable of driving without user control, the Artificial Intelligence (AI) network must first undergo extensive training to learn how to see, comprehend what it is doing, and make the right decisions in any possible traffic situation. To make real-time decisions based on complex data sets, a self-driving car's AI platform requires a constant, consistent stream of data and feedback. On the road today there are successful self-driving vehicles, but the success of many of these early vehicles is the result of continuously driving the same route over many days, where they know every aspect of the route and generate high-resolution maps that are then used as a key part of the self-navigation system.

The list of self-driving car issues are accumulating .Beyond stressing about how safe they are, how tricky ethical trade-offs they can tackle on the road and how they could make traffic smoother, we also need to think about how they could affect people of color. According to a new study from the Georgia Institute of Technology, if you are an individual of dark skin, you may be more likely than your white friends to get struck by a self-driving car. That's because it might be simpler for driverless cars to recognize people with lighter skin tones.

Combine hybrid, self-driving vehicles with car sharing and you will have a system that provides decreased demands for travel, emissions, and parking. Note, at any moment, self-driving vehicles can be used by anybody. On the other hand, autonomous vehicles are not advanced enough to detect certain individual due to their complexion. This draws back the benefits of a self-driving vehicle and makes one question the advancements this invention needs in order to work successfully.