My used to present and exchange documents. Therefore turning

My computational innovation is a self-driving car. The purpose of the self-driving cars is that the driver is not required to control the vehicle while it’s in motion. The car has multiple sensors and also has software to navigate and drive the car. An autonomous car vehicle is a vehicle that is capable of sensing its environment and navigating without human input. Self-driving technology is becoming more common and could evolve our way of transportation. My computation artifact has multiple diagrams and showing how cars are able to drive themselves. Cars are getting smarter every day, as new software and technology arise, cars continue to evolve as well.

My computational artifact is a PowerPoint showing how my innovation, the self-driving car operates by itself through sensors. PowerPoint is a software where you can create slideshows of information to present. I used diagrams of the self-driving car showing how it works and parts that are essential for the car to function. After placing my diagrams I used PDF, which is software that converts documents into a file format used to present and exchange documents. Therefore turning my slideshow presentation into a document.

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One beneficial effect self-driving cars could reduce the number of fatal car crashes every year. In the United States, more than 30,000 people die. But self-driving cars could drastically reduce the number of accidents helping to save thousands of lives. If about 90% of cars on American roads were autonomous, the number of accidents would fall from 6 million a year to .3 million. One harmful effect self-driving cars has is that they are not able to operate in all weather conditions. Heavy rain, snow or hail can do serious damage to the laser sensor mounted on the car’s roof. If technology fails, such as the traffic signals can’t be detected which the cars rely on. For example, even where a police officer is directing traffic, because of weather conditions or an accident the cars cannot interpret human signals.

Autonomous cars use about three main hardware that collects data which are processors, sensors, and actuators. Information is collected through a lidar which sensors send light and bounces back to collect distance. Images from video cameras and radar sensors effectively tells the car what to do with the actuators, which allows the data through a computer control the brakes and steering wheel. With all these near technologies built in with your self-driving car comes with privacy concerns, such as sound recording and GPS location. The software can pick up parts of your conversation to know where your favorite place is or where you’re going later so your GPS can know where to go automatically. Your GPS can know when you go home or where your location of your job and the times so it can calculate when you need to be there and how fast you need to go. Information like this is always stored somewhere, who knows where it ends up.