Is There Hope for Intelligent Driving Systems? - System Applications
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Another application of the system, as Sulzmann explains, is designed for bad weather. Let's imagine extreme fog, when the visibility is close to zero. We all know that there's a chance of an unexpected curve in the road. However, the system would simply project the traffic lines on the road between lanes, including the curvy section, and alert the driver as soon as s/he crosses their current lane.
Moreover, if the driver does not react, the vehicle would autonomously take the curve, decelerate, and follow other predefined instructions. You see, that's what revolutionizing transportation is all about. Likewise, the system can be programmed to sense, monitor, and take action in correlation with road marks and signs.
The system would also be a big advantage for reckless drivers; it warns the driver in cases where their speed is too high to take that upcoming curve. Prediction would be accurate because it is geometrically and mathematically calculated.
Summing this up, collaborative driving systems are truly emerging and hopefully in the near future our traffic hazards will be reduced. However, this does not mean that the concept is foolproof. Magnets, electronic shocks, and other malicious software could severely damage the systems. Therefore, a really powerful internal security function must be added to self-inspect the condition of the system.
Ensuring that the systems are working in ideal conditions is critical because otherwise they'd threaten other drivers by communicating the wrong data with the possible intent to sabotage, creating so-called "invisible" vehicles in the infrastructure. The possibility of tampering with the units cannot be excluded either.
The next factors that could cause trouble are public acceptance and required authorizations. Despite its outrageous advantages, investigators are sure that convincing the public as a whole to accept these kinds of infrastructures won't be easy. We're living in a world where people are generally very cautious about privacy violations. Therefore, some might debate the hazards of these systems because of their "Big Brother"-like effect.
However, from an ethical point of view, the system wouldn't send signals to third parties, such as police and security (secret) agencies, nor could the signals be intercepted by them. They are limited to the same collaborative driving system devices. As a result, communication could happen only between the systems, so it does not violate privacy per se. But it's still highly controversial.
This being said, it's time for me to end this article. If you are really interested in this concept of collaborative driving and would like to continue research or perhaps get involved, then I strongly suggest checking out the following Canadian abstract here - "Architectures for Collaborative Driving Vehicles." It's a 45 page long report that is jam-packed with state-of-the-art technology and information.
Furthermore, I invite you to join us over at "DevHardware Forums" to talk about the future of intelligent driving systems. I urge you to start technical discussions.
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