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Brief history of the automotive industry
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The twenty-first century is at the peak of technological advancement. There is only so long technology can keep at an exponential growth, ultimately is will flatten at some point. The world is not there yet and will not be for some time. With technology still on a steep slope, autonomy is at the forefront of innovation. Cars were invented in the 1900s, which let people use a machine to get them from point a to point b. That was not enough and companies, like Tesla, created a self-driving car. A self-driving car is a car that can get a passenger from a location with almost no input from the driver. When the first major self-driving car was announced by Google, the community was a little hesitant. From here on, companies have proven that these …show more content…
As of now, self-driving cars still need passengers to be in them to drive. Google came out with one of the first big mainstream cars some years ago. From then they have been exploding rapidly in popularity. Companies like Tesla, a luxury car brand, comes out with only self-driving cars. The technology is becoming more common, easier to test, and cheaper. The technology is evolving more and more each year. These cars use sensors, and cameras to detect other vehicles. Stephen Meyer, a scientist and author, wrote a book called Electronic America. In one of his chapters of his book titled High Tech Automobiles, he covers vehicle safety as well as how self-driving cars generally work. “By analyzing its proximity in relation to three of the satellites in the network, GPS can pinpoint its location on the earth's surface. Most systems that use GPS then combine this information with an up-to-date map of the local roads to display the vehicle's position on a street map” (Meyer, 160). In other words, it is a collection of multiple technological equipment running together to drive on the road. However this technology is not fully autonomous, it still involves some human input. These cars seem like they only provides benefits due to the marketing. There is no doubt that machine driving is in many cases safer than human drivers who get distracted. In fact, machines do not …show more content…
Actually it is the biggest concern while driving. Car crashes are common and can be deadly. Self-driving cars are supposed to be safer because they are without human error. However technology can also have flaws. No technology is perfect or without problems that come why no matter how small. The safety issue with self-driving cars come in a couple of forms. The first thing that comes up is cyber security. The car runs through a programming. A program comes down to all ones and zeros, no matter how complicated. And as we all know, program can get hacked. Although these companies put millions of dollars in protecting these cars, there is still a potential threat. There is a huge consequence in cyber security. Someone could can hack an autonomous car and drive it off the road. The software could get into the wrong hands and could be used for malicious intent. To reiterate myself and author and scientist named, Timothy Lee, wrote an article called, Trump’s self-driving car strategy: Don’t regulate self-driving cars. In this he writes on the topic of self-driving
Now, I am very intrested in cars and I love almost every aspect of them, but did you know, that each year 1 million, people die each year from car accidents? And 81% of these accidents are caused by human error? 1 million people, gone like that. Fortunately, there's a new technology that dramastically decrease this number. This technology is self-driving cars. A self-driving car is a car that is capable of sensing its environment and navigating without human input. Currently, about 33 companies including Tesla, BMW, and Google, are working to create self-driving cars that can prevent human errors and change the way people view driving. Self-driving cars, have other benefits besides preventing human error, such as less traffic congestion, and less fuel consumption. However, with these benefits come some costs such as cyber security problems and ethical dilemmas. So, should we have self-driving cars, or not?
To tell where the car is, the car uses positional information from the GPS and the Internal Navigation system to restrict itself to a particular place, meaning is gets a baseline reading of where the car is in the world using GPS like your phone would. Then the car reads the information from the sensors to refine its position. After that, the car then gathers all of that information and creates a digital image of the environment around the car. This image includes all still and moving objects in its vicinity. This could range from buildings, traffic lights, stop signs, other cars, cyclists, and pedestrians. Also, the blinker of the other cars in its range. All of the map making is handled by the control system, along with many other tasks. The control system is computer in the car that is able to make all of the intelligent decisions like where to turn, to stop if there is a car in front of it or if it's at a stoplight and the light is red, it will stop on the line. This computer must know everything that is around that car and also everything that is going on around that car. For example, a car pulled up to a stop sign next to a self-driving car. The computer in the self-driving car must be able to see the car pulling up and it must know when it stopped. It must also know how far away the car is to the side of it. Self-driving cars also has a model to
Major incumbent companies expect that the autonomous driving systems will be ready for the market in five years. This may be optimistic, but by 2050, cars that drive themselves could well be major production units for companies like General Motors. GM first revealed in 2010 that it had been working on self-driving cars[1]. Last year, GM demonstrated that the prototypes can follow the pace of traffic, while allowing the driver to have his hands off the steering wheel.
According to MakeUseOf (2015), Google’s 7 self-driving cars of Toyota Prius hybrids hit the roadways in 2010, led by Sebastian Thrum. Since hitting the road Google’s cars have over 1.5 million miles under their belt. These cars use data from Google Street View, data from cameras, LIDAR, and radar to place the car’s position on a map. This system has proven to work very well and seems to be the closest thing to a safe, functioning, self-driving car. Google believes that self-driving cars will increase safety, reduce traffic, and be better on the
Driverless vehicles, otherwise known as autonomous, automated or driverless cars, are no longer science fiction. The technology is here, and several companies are already testing them on the roads. A Total of forty-four corporations are working on autonomous vehicles, ranging from automotive industry stalwarts to leading technology brands and telecommunications companies. In this venture, Tesla Motors and Alphabet seem to be leading the way in the automotive industry with their recent releases of partially-autonomous vehicles. Despite early setbacks including the accidental death of Josh Brown, a forty year old Hollywood star, who was using the autopilot system in the Tesla Model when he crashed the vehicle, or Uber briefly suspending its own program after a self-driving car crashed in Tempe, Arizona, and the public’s outcry on the reliability of driverless cars, private companies working in auto tech are attracting record
Self-driving cars should not be produced because the technical part is not 100% figured out. In source #1 paragraph 23, it says “Computers develop glitches… could be deadly when it happens at 75 miles per hour on the freeway.” This is important because being in an accident on a freeway could lead to deadly injuries. When you might have been able to prevent that, when you were the driver. The self-driving car is what caused your injury so not having control could be a fatal technical
In 2010, Google broadcasted that they created an archetype of a car that can drive itself; its purpose, to avert collisions, allow citizens more time, and cut down on harmful pollutants that vehicles produce (Poczter & Jankovic, 2014). The heart of the self-driving automobile is lasers that are mounted on the roof of a modified Toyota Prius that produces a precise three-dimensional atlas of the area surrounding the car. Furthermore, the automobile is outfitted with four radars, and another laser around the vehicle that allows it to precisely create a 3-D map of its surroundings (Poczter & Jankovic, 2014). The vehicle calculates the laser dimensions with high-resolution maps of the globe, which allows it to drive itself without human intervention, while evading obstacles and obeying traffic laws (How Google’s self-Driving Car Works, 2011).
Since the idea of the driverless car was first introduced, many people have been left to wonder how, exactly, a driverless car would work. A variaty of sensors, whic can be generalized into five different catagories, are crucial to the underlying mechanisms of a driverles vehicle. The first and most recognizable would be a GPS unit, used to find the route the car would take. This technology would be enhanced with readings from tachometers, altimeters, and gyroscopes to provide a more accurate positioning of the vehicle. Lidar sensors would be used to identify lanes and the sides of the road by bouncing light off of the vehicle’s surroundings.
One of the more recent automobile technology breakthroughs throughout the United States is the introduction and study of self-driving cars on the highways and roads of the country. These cars are invented to help eliminate human error that cause life-ending collisions, which is what 90% of accidents are caused by according to Stanford University’s School of Law. Human error is defined Oxford Dictionary, as “The making of a mistake as an inevitable or natural result of being human. ”(Oxford Dictionary) To assess whether or not self-driving cars are safe enough to be integrated into American Society, United States citizens must understand the ethical dilemma of self-driving cars and what problems may occur within a situation through experiments.
Usually, the opponents would hold such opinion: “There are potential for self-driving cars to go wrong”. Like reported in that news, the Tesla self-driving car went wrong, then hit a fence, caused the death of the driver. All software would appear errors, like errors which would appear in our operating systems, errors are possible to appear in the self-driving systems. What’s more, in the real world, there are thousands upon thousands situation would happen.
Companies like Google, Tesla and Nissan, among others, have announced over the past few years that their companies are trying to develop self-driving or autonomous cars [Ref. 1 and 2]. Self-driving cars can provide many benefits to the average consumer. Studies have shown that because computers can react and process information many times faster than a human being, crashes on streets and roads can be decreased with quick and consistent evasion maneuvers by the autonomous car. They can also help maximize fuel economy by calculating the most direct and fastest routes. When the driving of an autonomous car demonstrates that the computer can safely and reliably transport the passengers to their destination, this frees up the passengers to do other things that they would not normally be able to do if they were driving the car manually. For this reason, self-driving cars can help maximize productivity of their passengers.
As this automation continues to take over, other aspects of everyday life will begin to change as well. One of these ways in particular is through the automation of vehicles (or "self-driving cars"). Over the last few years, many companies have been in the process of creating self-driving vehicles. Google has been developing self-driving vehicles under project Waymo, and said that they plan to launch self-driving taxis in Arizona by the end of 2018, and "by 2020, the firms say 20,000 self-driving Jaguar sport utility vehicles will be part of Waymo's fleet (Lee 2).
Self-driving cars are the wave of the future. There is much debate regarding the impact a self-driving car will have on our society and economy. Some experts believe fully autonomous vehicles will be on the road in the next 5-10 years (Anderson). This means a vehicle will be able to drive on the road without a driver or any passengers. Like any groundbreaking technology, there is a fear of the unforeseen problems. Therefore, there will need to be extensive testing before anyone can feel safe with a vehicle of this style on the road. It will also take time for this type of technology to become financially accessible to the masses, but again alike any technology with time it should be possible. Once the safety concern has been fully addressed
These machines not only will be safer driving themselves on the road, but will reduce deaths yearly, while being fuel efficient. The safety of these self-driving vehicles would be greater than what’s already driven today. Human error plays a role in the safety of people driving and everyone else inside. By eliminating that factor is a step closer to making the people inside safer.
Automotive executives touting self-driving cars as a way to make commuting more productive or relaxing may want to consider another potential marketing pitch: safety (Hirschauge, 2016). The biggest reason why these cars will make a safer world is that accident rates will enormously drop. There is a lot of bad behavior a driver exhibit behind the wheel, and a computer is actually an ideal motorist. Since 81 percent of car crashes are the result of human error, computers would take a lot of danger out of the equation entirely. Also, some of the major causes of accidents are drivers who become ill at the time of driving. Some of the examples of this would be a seizure, heart attack, diabetic reactions, fainting, and high or low blood pressure. Autonomous cars will surely remedy these types of occurrences making us