Nissan's NSC-2015, on display at the CEATEC 2012 conference in Japan, can find its own parking spot and return to pick you up after being summoned via mobile app. The car uses sensors and a camera to keep track of its location, and gives an owner a 360-degree camera view via an LTE connection of the area around the car, allowing him or her to remotely trigger the car's alarm in case of suspicious activity. Nissan will begin selling the car in 2015.
I've been a little leery of the self-driving car concept, but I have to say, the idea of a car that would cruise crowded parking lots by itself and find me a spot--now that has some merit, in my book. Of course, there's always the paranoia about the car taking off and never coming back, but I suppose those concerns dissipate as people get more accustomed to what initially seems like out there technology.
Hi Beth, I agree. To have automonous vehicles driving on roads and neighbor streets seems dangerous. I wonder if the car has the ability to detect kids darting out into the steet to retreive a ball and stop immediately? Also, to drive in hazardous conditions like snow and rain storms requires an experience driver. I wonder how much AI can be programmed into these vehicles to handle such driving conditions. But like you, I'm kind of digging the find a parking spot in a crowded mall garage scenario.
@TJ: That's the kind of imagery that could potentially throw this technology right off the map. Imagine the chaos, what's akin to autonomous road rage, of self-parking cars. Yikes. I'd want to steer clear.
Herein lies the biggest obstacle of autonomous vehicles: Human's inability to come to terms with the fact that we are not better than computers at many tasks. It turns out, that computers are now incredibly good about seeing objects like children and other cars. They (computers) are never distracted like a human, their sensors watch constantly and don't turn away when they are looking for (or at) their cell phone, children, or any other of many distractions that Americans have in their vehicles. Computer systems have reaction times are far better than human reaction times. I only wonder why collision avoidance systems aren't more popular. The technology on the top of the line Prius is where the future needs to go on all automobiles, these systems would solve many of the easy to avoid accidents that are caused by distracted drivers. Granted, it will be some time before cars go completely autonomous, we love to be in control, but systems that prevent distracted driver errors would save the insurance industry huge amounts of money.
As a middle age human, the idea of retirement in a self driving RV is really appealing to me. Imagine taking a nap while the RV travels to your next destination. Imagine the RV robotically recharging itself when the batteries are in need. Imagine not having a 70 or 80 year old human driving the RV down the road. That is how I see my retirement in 25 or 30 years. It is an awesome dream, can we make it the reality?
I think the new term will be "computer gridlock" as driverless cars will not be able to see beyond the nearest car and see other driver intentions by looking them in the eye or seeing them smile, wave, or flip you the sign.
Computers are cool tools to aid us with mundane task but I rather be in control of my vehicle without the worry of a system malfunction. The key to safe driving is to pay attention to the road. To rely on a computer for driveability is becoming too dependent on technology which makes society lazy and not able to think on their own. A simple example of technology dependency is the TV remote. For alot of folks if their not able to find it the TV is broke as opposed to just turning the channels manually.
According to a study by the National Institute of Standards and Technology, one of the factors in the collapse of the original World Trade Center towers on Sept. 11, 2001, was the reduction in the yield strength of the steel reinforcement as a result of the high temperatures of the fire and the loss of thermal insulation.
Robots are getting more agile and automation systems are becoming more complex. Yet the most impressive development in robotics and automation is increased intelligence. Machines in automation are increasingly able to analyze huge amounts of data. They are often able to see, speak, even imitate patterns of human thinking. Researchers at European Automation
call this deep learning.
The promise of the Internet of Things (IoT) is that devices, gadgets, and appliances we use every day will be able to communicate with one another. This potential is not limited to household items or smartphones, but also things we find in our yard and garden, as evidenced by a recent challenge from the element14 design community.
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