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The Dangers of Autonomous Vehicles: What’s Stopping Self-Driving Cars From Worldwide Adoption

The Dangers of Autonomous Vehicles: What’s Stopping Self-Driving Cars From Worldwide Adoption

Autonomous vehicles are one of the most talked-about technological breakthroughs of the past decade. But as we approach the end of another year of testing issues and minimal developments within the industry, is it fair to say that the rollout of the self-driving car is stalling?

In October 2020, Tesla grabbed the world’s attention with the arrival of its ‘Full Self Driving’ software for car owners to allow drivers to automatically park, stay in a lane at cruising speed and stop at red lights. The unveiling was supposed to represent a significant step towards fully self-driving technology.

However, according to Fortune, there are fears that the name ‘Full Self Driving’ may be misleading to some drivers, who could mistakenly assume that their car needs no supervision. Regulators have warned users to monitor the technology closely, and “take action to protect the public against unreasonable risks to safety.”

So what’s holding autonomous vehicles back? Let’s take a deeper look at some of the more significant issues that self-driving cars need to hurdle before entering the market:

The Fallacy of Machines Thinking Like Humans

One of the biggest issues to overcome is the fact that, despite huge advancements in IoT technology, computers are a long way from possessing the levels of intelligence of humans.

Of course, when it comes to individual tasks like identifying objects in pictures or following simple commands in a static environment, machines can far outperform humans, but many of these skills aren’t applicable in a more general situation.

While the act of driving a car and understanding when red lights appear may be achieved by simple machines, the sheer volume of variables that occur during driving means that machines will be required to obtain huge levels of intelligence and adaptability.

In some 2017 essays, leading robotics and artificial intelligence researcher, Rodney Brooks, stated that autonomous vehicles were simply not viable in the short-term due to the number of ‘edge cases’ that present themselves while driving. This refers to how often unusual events occur – such as the poor driving of others, obstacles on the road, and misleading road markings.

While humans are naturally capable of reacting to unusual events and making swift adjustments, machines can struggle to understand how to adapt their actions to respond in the right way to the road in front of them, for instance.

Obstacles to Sensors

Autonomous vehicles use multiple sensors to interact with the environment around them. This helps to detect objects like pedestrians, other vehicles android signs. Cameras can also help the car to both view objects and understand the distance between the vehicle and anything in its path. Radars can also chart the speed and direction of other vehicles and objects.

(Image: AP)

These sensors provide feedback to the car’s control system to advise on where to steer or when to stop. Fully autonomous cars require a wide range of sensors that can detect objects with accuracy, while quickly determining their distance and speed in every possible condition to ensure safety at all times.

However, factors like bad weather, dense traffic, weathered road signs or damaged markings can significantly impact the capabilities of sensors.

For truly autonomous vehicles to work, the sensors used need to be highly adaptive, and strong enough to understand signals in the worst of conditions in a range of environments. Given that accidents have occurred with Tesla models where cars have hit parked vehicles, it shows that there’s still some way to go in developing reliable autonomous sensors.

Cybersecurity Fears

There may be widespread concerns about the safety of autonomous vehicles in terms of the technology understanding and reacting to obstacles, but there’s also a significant danger that the interconnected vehicles could become the victim of cyberattacks.

Transportation reporter, Christian Wolmar reported that widespread hackings have happened “in other areas of computing, such as the big-data hacks and security lapses and it will happen in relation to autonomous cars.”

Given the dangers associated with a vehicle that’s been compromised by a hacker, any security issues within the firmware of cars will see widespread disruption occur as a result – making it extremely difficult to see the rollout of autonomous vehicles before rigorous tests are conducted.

Complexity of Insurance

There’s a whole host of financial issues attached to the rollout of autonomous vehicles. The matter of insurance and where the responsibility lies should accidents occur is a big hurdle to overcome.

Traditionally, drivers pay insurance for their cars to cover any accidents taking place, but when a vehicle is entirely autonomous, there’s no reason for an owner to pay out when it’s likely to be the fault of the vehicle itself.

The arrival of self-driving cars will spark a reformation of how owners pay for their cars. If insurance falls on the manufacturer, it could see the costs of vehicles rising further. In a world that’s become more accustomed to purchasing vehicles on HP or PCP finance, the complexity of ownership could be wholly off-putting for prospective buyers.

That said, there’s little doubting that autonomous vehicles will have a role to play in the future of motoring. Whether the technology and its complicated connotations develop to the point where we could see private vehicles hitting the roads by the end of the decade, or more likely that way see some form of light delivery vehicles rolled out, it’s a testament to interconnectivity and the potential for innovation in the industry.

Source: techbullion.com

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