Be careful, is it a bird, is it a superman?
Turns out it’s a plane.
A report and accompanying video clip recently showed the heartbreaking escape of a small plane that landed on a busy road in car traffic.
As if we were all flying on the wall, it is fortuitous for a video of the occasion captured through the camera of the board of a car that is right in the shadow of the plane. The plane passed heavily over its head and landed on the tracks in front of the car.
Fortunately, no one was injured and the plane was controlled to safely enter a large amount of traffic, eventually heading towards the right side of the road, allowing the sinking cars to move incessantly.
Just the day of sad driving and sailing in the traffic jams of travelers and, yawning, a plane spinning on the road as well.
Can you repeat please?
Imagine the stories you can tell your colleagues in the or tell in a tavern that night while having a drink amid stories of what you did that day.
I think it’s to say that those motorists didn’t anticipate, when they were abandoned that morning, that later in the day they would be in the front row watching a plane land on their local road.
One also wonders, for the cars in front of the landing plane, did the driving force look into their mirrors and doubt what they were seeing, wondering their sense of truth and having to bend?
This generates a bit of interest in what you can do as a driving force that accidentally dives into this type of situation.
For those who would possibly have seen the plane touch them, did they push the accelerator pedal to the ground, to avoid being hit by the plane fast, or kept on course and only expected the pilot to be cunning? enough to not be able to get past the cars?
It is doubtful that you have enough time to get out and off the ramp to escape the plane (also, consider the reaction times of the human factor, as I do here in this link). Similarly, the deceleration doesn’t seem right, as it can confuse the pilot during the effort to figure out where to land and how fast to do it.
In the video of this express example, the cars that were supposedly eclipsed were able to adjust their speed, allowing a buffer zone to appear to be in front of them, with a traffic hole appearing between the cars, the aircraft and the cars in front of the aircraft.
However, don’t be fooled into thinking that all motorists have collaborated in real time on how to solve the situation. It appears that this was an instinctive manoeuvre that was carried out independently through each driver, separately, and together had the net effect of helping the aircraft land.
It is difficult to discern whether drivers intended to lend a hand to the aircraft or concentrate on self-preservation, but the result turned out to be the same in both cases.
Perhaps the most revealing facet of motorists’ mental state was what happened once the plane was on the sidewalk and had become a creature on the floor than a creature flying through the air.
The cars tried to sneak in front of the plane, which was now a giant “car” and was not welcome on the road.
You may think that cars absolutely avoid and allow the aircraft to do the same, or that would possibly be that the cars would remain in combination as a traffic jam to save it from other cars that suddenly arrive at the floor cruise plane.
No, it’s the same old world of driving with a dog-eating dog (for my assessment of driving thugs, see the link here).
Step aside, you miserable plane, I have to get to the paintings on time, or at least that’s the point of view of the moment.
Occasionally, around the world, there are examples of aircraft landing on a long stretch of the road, whether it’s a road, a road, or any street wide enough and long enough to accommodate an aircraft that wants a transitority and a tight runway.
Certainly, this is an event.
As a teenager as a driving force as a teenager, the instructor is unlikely to have ever warned you of low-flying aircraft that can land on the road ahead. The chances of such an occasion are so astronomically low that it seems worthy of prior attention.
It is also assumed that there is no highly specialized practice or ordinary knowledge that you wish to deal with a landing plane.
Essentially, the aircraft becomes like a large truck and you’re probably already familiar with a collection of rare cars if you’ve driven for several years on a variety of roads and in traffic conditions.
However, there is a surprise to manage.
A giant truck will notice smoothly in advance and have a moderate amount of time to prepare for what it can do. In the case of a plane, it seems miraculously out of nowhere, descending from above and with little warning.
If you listen to music in your car, you may not hear the revealing sound of an airplane spray engine or other revealing sounds from above that might give you an idea of what’s going on.
You may need to have an open sunroof and look up to see the plane, although preferably your eyes are usually nailed to the pavement in front of you and don’t look up at the sky towards the clouds and birds flying overhead.
Therefore, abruptness and rare phenomena are vital points in this case.
Another great is the nature of what other nearby drivers will do.
I have a lot of confidence in my fellow pilots to keep calm and calm.
Since many drivers seem to be infuriated or lose their minds due to undeniable things, such as when a van loses an empty box that flips from the back bed, it turns out that many drivers will have serious problems. anxiety about a landing plane.
Let’s talk about it for a moment.
A key fear would be whether the cars were going and coming right or those in front of you or would have secure compatibility and with proper decorum when the plane appeared. No wonder, he would be so concerned, if not more, that a driving force of a nearby car will begin a turn of fate or cause a series of cascading car accidents, by doing so by surprising himself through the plane, rather than the plane doing something bad itself.
In this context, it may be that being concerned about the plane is not the same as being concerned about the rest of the car traffic and what nearby and potentially crazy drivers could do in reaction to this proverbial misplaced bunny. aircraft-looking hat.
You also have to keep in mind.
Most highways have road signs, which protruding in the lanes, although parked on poles and sometimes high enough not to interfere with general traffic.
A plane would possibly be too tall and wide enough to hit those traffic signals.
That would be bad.
The aircraft can simply make car wheels or blow up significant debris on the road, which will turn the stage into a potentially very serious and potentially fatal scenario (which, as is already the case, one might assume).
The aircraft may collide with a car, or a car can simply deviate and enter the aircraft. This can be done directly or completed through an unintentional sweeping motion and cause surprise among cars now rushing into the road.
Considering all the odds of seeing how this type of act can go wrong, it is unexpected to think that every time an aircraft makes a landing, since it is not a general calamity, that would produce sour effects for everyone involved.
Well, we know that human drivers would definitely be caught by surprise. And we also know that somehow, through some miracle, when these occasions occur, it turns out that there are few or no death or injury.
Praise humanity for facing such an ordinary event.
Here’s an intriguing question: with the advent of real autonomous cars based on artificial intelligence, how would an artificial intelligence driving formula behave if an aircraft made an emergency landing on the pavement in the middle of traffic?
Let’s see what’s going on and let’s see.
Understanding self-driving cars
As a clarification, true self-driving cars are ones that the AI drives the car entirely on its own and there isn’t any human assistance during the driving task.
These cars without driving force are considered grades four and five (see my explanation in this link here), while a car that requires a human driving force for percentage of driving effort is considered as a point 2 or 3. Percentage of Driving Tasks are described as semi-autonomous and commonly include a variety of automatic add-ons called Advanced Driver Assistance Systems (ADAS).
There is still a genuine self-driving car on Level 5, which we even know if this will be possible or how long it will take to get there.
Meanwhile, Level Four efforts gradually seek to gain some traction through very narrow and selective public testing, controversy over whether those evidence deserves to be compatible with itself (we are all guinea pigs of life and death in an inconsistent context) taking a stand on our roads and highways). Fix some points, see my indication to this link here).
Since semi-autonomous cars require a human driver, adopting such cars will not be much different from driving traditional vehicles, so there is not much new in itself for the canopy on this issue (however, as you will see at a time, the following problems apply).
For semi-autonomous cars, it is vital that the public be aware of a disturbing facet that has happened in recent times, despite those human motivating forces that continue to publish videos of themselves sleeping behind the wheel of a point 2 or 3 cars. We will all have to avoid being tricked into thinking that the driving force can divert their attention from the task of driving while driving a semi-autonomous car.
You are to blame for driving the vehicle, regardless of the automation point that may be thrown at point 2 or 3.
Self-employed and flat on foot
For true point four and five autonomous vehicles, there will be no human driving force involved in the driving task.
All occupants will be passengers.
The AI is driving.
Would AI be specially trained for a landing on the road?
Usually he’s no.
Currently, groups that make self-driving cars with AI have their full hands so that AI recognizes and manages the normality of driving a car. The purpose lately is to get a self-driving car to take someone to the grocery store or to work, without making a mistake in a car accident, or to make anything else happen (to be more informed about the dangers of self-driving cars, see my research on this link here).
The concept of dealing with a landing plane would be in so-called edge or corner instances that could later be addressed through AI developers. A case of edge or angle is placed on a low-precedence list and remains there in silence, waiting for a day when mandatory time and attention may have to be addressed to the problem.
I think we can all probably agree that it would make sense to include the case of using a submerged landing aircraft on the list, classifying it as an undeniably less vital air conduction task for the design.
Of course, it is simple to make such a claim, if one day you drive in an autonomous car, on the road, and an aircraft decides to land, is forced to clenched towards the list of excessive cases and is disappointed that the lowest-rated item has not yet been implemented.
This poses whether the “normal” behavior of the AI formula would be sufficient to meet the aircraft’s landing scenario.
Well, partly yes, and partly not.
It is that AI through its sensors, such as cameras, radars, lidar and other sensory devices, can stumble upon the presence of the aircraft (for an explanation at the point of the various sensors, see my indication in this link here).
These sensors are not specially adjusted to look up and are therefore unlikely to detect the aircraft until it is low enough on the floor to start as a vehicle on the road.
In short, AI may not be able to recognize what the new object is. The shape and pings and visual appearance are probably to thwart AI in terms of what the object is and what it can also do.
However, the AI will ensure that there is an object in the front, that the object moves, that the object is quite intrusive, and that, therefore, the AI exercise caution when encountering the unknown.
Meanwhile, as I also discussed earlier, the other solution is the reaction of other cars nearby.
Human drivers driving their cars are required to take sudden action, for which AI is more prepared to drive than to drive the plane itself. AI may not be able to “deduce” why those cars and their drivers react, but at least AI is regularly set up to deal with cases of human-driven cars going wrong, as if everyone is looking to avoid a fall. ladder on the pavement or someone suddenly punctured a tire.
If there are other AI self-driving cars involved in this plane landing, those self-driving cars are trying to react too to whatever the other human-driven cars are doing.
Please note that not all AI driving systems are the same, i.e. every car manufacturer or independent generation company has a tendency to expand its own proprietary versions. This means that each of the autonomous AI driving systems with car logo will probably have its own way of managing traffic, so not all self-driving cars will necessarily react to the scene in the same way.
A possible additional advantage for self-driving cars is that they are likely to be provided with V2V electronic communication (vehicle-to-vehicle).
The V2V allows autonomous car AI to transmit to the other a message about the state of the road. This can be used to save you from traffic jams and facets, such as waste detected through an autonomous car, by sending a message to other self-driving cars to inform them in advance that there is something to avoid.
It is unlikely that the V2V will involve a willingness to confer a landing aircraft, at least the V2V can be used to warn about an unknown object and also alert to the driving reactions of human-powered cars.
Doesn’t AI “know” or “understand” that the stage was referring to a landing plane?
There is no doubt that AI would probably be better off in this scenario if it had been designed to come with an aircraft landing scenario. But let’s be perfectly clear, even if AI had been coded and ready for this hard-to-understand use case, I still wouldn’t “understand” what’s going on.
Despite everything the media seems to claim, there is no AI that still has a non-unusual sense or reasoning appearance (for my research on this topic, see the link here).
Such AI exists today.
There is a desired purpose of one day achieving General Artificial Intelligence (AGI), which would surround the complete diversity of human intelligence. That day, adding the touted perception of a singularity that will likely happen when AI changes to sensitivity, does not appear anywhere on the horizon (see my discussion on this link here).
The general point here is that for the aircraft landing scenario, AI would “understand” what is happening, regardless of whether AI developers had coded that AI was so prepared, and would still deal with the factor only in a limited way unlike a human driving force that would probably look deeper than what is happening.
A counterargument is that, while AI does not perceive the nature of the moment, it would also not be the subject of an emotional reaction, what human motor forces can do, nor would AI be distracted or drunk, which represents a human driving force. Training
Conclusion
Now that I’ve talked about landing a plane on a congested road, do you feel mentally prepared for the option that such a circumstance will one day give you?
The chances of this going down are quite low, and when that happens, the dynamics of the moment will be largely whether the result is positive or potentially negative.
An autonomous car with AI would do what it does, using its same driving capabilities, and that would be enough to avoid getting into an accident, although there is no guarantee or guarantee for human driving. neither is the car.
I am decidedly not advocating that you continually look up at the skies while you are behind the wheel of a car since I’d much rather that you keep your focus on the road directly ahead of you, and not be searching endlessly and fruitlessly for a plane that is going to land in your lane.
Of course, we may all have flying cars anyway, and so it will be a general component of passing the certification check of your driver’s license.
Dr. Lance B. Eliot is a world-renowned expert in synthetic intelligence (AI) with over 3 million perspectives accumulated in his AI columns. As an experienced, high-tech executive
Dr. Lance B. Eliot is a world-renowned expert in synthetic intelligence (AI) with over 3 million perspectives accumulated in his AI columns. As an experienced high-tech executive and entrepreneur, it combines the practical delight of the industry with in-depth educational studies to provide cutting-edge data on the long-term supply and long-term supply of AI and ML technologies and applications. A former USC and UCLA professor, and head of a pioneering AI lab, he speaks at major AI industry events. Author of more than 40 books, 500 articles and two hundred podcasts, he has appeared in media outlets such as CNN and co-hosted the popular technotrends radio screen. He has served as an advisor to Congress and other legislative bodies and has won many awards/recognitions. He sits on several director forums, has worked as a venture capitalist, angel investor and mentor for marketing founders and start-ups.