Blockchain is not all about bitcoin. I identified four promising uses for the technology in the automotive sector. (Forgive my editor’s jokey title.)
In the next 10 years, some form of artificial intelligence will be installed in 100 percent of new cars, according to IHS Markit.
This article describes current use cases for AI as well as the hurdles still to be overcome. One interesting idea from Luca DeAmbroggi of IHS is that there might be some kind of external certification process for an automotive AI — like a driver’s license.
There are plenty of good reasons why we’ll see autonomy in this sector first.
In fact, there are lots of interesting pilots already going on, as this article explains.
Artificial intelligence is a key enabling technology for self-driving and semi-autonomous cars. This report examines the areas where machine learning, deep learning and big data already are deployed, and what the next steps are.
Read it on the Tu-Auto site.
The auto industry is firmly behind autonomous cars, and so is the U.S. government. But despite a lot of hoo-hah in the press, consumer interest is low.
Kelley Blue Book’s Future Autonomous Vehicle Driver Study surveyed 2,264 consumers aged 12 to 64 and found a strong disconnect between those of us in the auto-tech bubble and real-world folks.
This interview with Karl Brauer, executive publisher of Autotrader and Kelley Blue Book, goes over the findings. Bottom line: Consumer education needs to be better.
It’s becoming clear that level 3 #autonomous driving won’t be much fun — or very safe. Drivers will be expected to pay attention and stay ready to take control in an emergency, so what’s the point?
Experts explain why we’ll see a mix of truly autonomous vehicles and more advanced driver safety features instead of what has been proposed as the third level.
I talked with robotics researchers working on aspects of autonomous cars. Turns out, soccer is harder than driving.
Evidently, whether self-driving cars will need to be connected to external databases, maps or whatever is a matter of contention. I always thought they would, to access real-time maps, traffic and road info, etc. In the world of research, however, “autonomous” means the vehicle has no need to connect to any external systems. This article examines how real-world autonomous cars will make use of their persistent connections.
I think I deserve props for not using that Reese’s P-butter Cups analogy. : )
There are three strategies for implementing advanced safety features that will lead to full autonomy: add still more sensors; reduce the number of sensors by combining functions; use advanced processing to make use of sensor data.
Here’s a look at how vendors and tier 1s are doing all of them.