But not so fast. Currently, autonomous cars are NOT exactly defined as "driverless cars." I think that the assumption -- at least among regulators -- is to have a driver present in the driver's seat all time.
That, however, does not solve all the quandries you mentioned in your comment -- because it's not just machines' failures (which will happen) that we need to worry about, but we do wonder what if a human overrides a machine's decision (or vice versa), while the other car your may about to have an accident with didn't.
Luis, since Bert covered your stick shift question, let me cover the other question -- why autonomous cars are good for fuel economy. As the automotive industry experts tell the story, here's what they have in store (see the diagram on page 2 of this article):
When cars need to pass through a number of traffic lights, the V2X infrastructure can inform drivers of a recommended driving speed, in order to reduce unnecessary acceleration or slowdown.
In a nutshell, the grand plan is to have smart infrastructure like V2X let you drive through a road with less frequent stops and goes. Sounds too good to be true? Yes, I agree.
Luis, it used to be true that stick shifts got better fuel economy, in the days when automatics did not yet have lockup torque converters and only had 3 gears. But now, automatics do have lockup torque converters, which don't waste energy heating up the fluid when the car is going at mostly steady speeds, and they have up to 8 gears. Way more than a human can manage intelligently. Which gives automatics an advantage over sticks.
These days, in the US market anyway, car companies try to avoid selling stick shifts, because stick shifts make it more difficult to meet their fuel economy requirements. They have to add gizmos to urge the driver to shift to the correct gear, for instance. When stick shifts are sold, if you read interviews with automakers on this subject, it is purely to satisfy consumer demand. Brands like even Mercedes Benz have pretty much stopped selling sticks in the US.
@vasanth kumar d: I agree with you -- the problem is that whenever someone is injured or dies due to a problem with the automatic system, the victim (or his/her family) will have a field day suing anyone who had anything to do with the creation of that system.
Human Errors are today considered the major cause of Accidents. Automation and/or Driverless Vehicles are of discussions today to overcome the human errors, the studies are comming up with the fact feagures stating that Automation will be adding to the safety, but once the Automation and/or Driverless Vehicles will start taking the critical decision "Machine Errors/Failures" will become the major cause of Accidents. And these will not be under anyone's control then after.
The article states that we need autonomy on the cars because of lesser accidents, traffic jams and better fuel economy? That last point draws my attention because I've always heard that having a stick shift is better for fuel economy than the automatic shift. Is this statement still truth? If so, what is the reason behind it?
I simply thought us humans would have even a better feeling than computers on how to step on the pedal and when to switch gears. Isn't it the gut feeling that which makes a driver better than others? Oh... just had a vision! There will come the day in which a autonomous vehicle be raced against a human driven one! First it was chess. then Jeopardy... then Nascar?
Not sure why this side-debate gets so much attention either, actually. Use of cellular makes a lot of good sense, especially for long range V2I or V2V. Like, download the map. Or, talk to your buddies back home, or out on the road 50 miles ahead.
LTE doesn't make as much sense to show you the lanes or road edge, where you are traveling this instant. For that, you want a more direct and short-range link, with information that is valid right now. If you think this info is useless, then ask yourself how you drive on snow-covered roads (or any other situation where road markings aren't visible). What cues do you use? Provide those cues somehow, if not with an RF link then with some other scheme, and you're good to go. Or, how do you navigate through a construction zone?
It will take a mix of link types and/or on-board sensors to get there. LTE is only one piece of the puzzle, seems to me.
All good points in this article. I especially likes the point about redundancy, since that seems to be missed by those who think self-driving cars can never work. If one type of communication fails, or if one type of sensing fails, others will take over, and the car will operate in a degraded mode.
Honestly, unless people are talking about different things when they say "self driving," I can't begin to understand why there would be any debate about this. I mean, unless "self driving" is only driver assistance, e.g. to provide a little extra safety, but the driver is still driving. In that case, maybe.
When one designs a control system, what you do is you ask yourself, how would I do this manually? And not JUST the easy way, when everything works. But it has to include contingencies. An example here would be, when you drive in a snow-covered road, how do you manage to navigate without seeing the road markings? That needs to be worked out. Or even, how do I react if suddenly I lose visibility, e.g. in hard rain or snow?
And then you write algorithms that duplicate the human behavior, only hopefully without the panic, slow reflexes, or incompetence.
The only way I would accept a notion that V2I isn't imperative is if someone can make a convincing argument that maps, traffic lights, pavement markings, and road signs, are useless. That all you need to drive a car is to see the cars around you. Make that argument, or tell me that self-driving only really means "driver assistance," and maybe I'll be convinced.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.