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Driverless Cars Are Giving Engineers a Fuel Economy Headache (bloomberg.com)
schwit1 shares a report from Bloomberg: Judging from General Motors' test cars and Elon Musk's predictions, the world is headed toward a future that's both driverless and all-electric. In reality, autonomy and battery power could end up being at odds. That's because self-driving technology is a huge power drain. Some of today's prototypes for fully autonomous systems consume two to four kilowatts of electricity -- the equivalent of having 50 to 100 laptops continuously running in the trunk, according to BorgWarner Inc. The supplier of vehicle propulsion systems expects the first autonomous cars -- likely robotaxis that are constantly on the road -- will be too energy-hungry to run on battery power alone. A fully autonomous subcompact car like a Honda Fit, for example, will get 54.6 miles to the gallon in 2025 in the best-case scenario, more than 5 miles below the U.S. emissions target, according to BorgWarner. A small pickup or SUV would be at 45.8 mpg, versus a target of 50. Engineers don't have much time to resolve this, as companies are planning to deploy their first fully self-driving cars in the next couple of years. One way for automakers to meet the power-hungry needs of self-driving systems will be to use gasoline-electric hybrid models rather than purely electric cars, said Mary Gustanski, chief technology officer of supplier Delphi Automotive Plc's powertrain business.
Self driving cars in Europe might be neat where they don't have transportation shortages. In America, our mass-transportation infrastructure is non-existent. Except for a handful of cities, you have to own a car in order to simply function in society, or you have to find a job that lets you work from home or live in a very limited area of town.
I wrote a post about this a while back:
http://penguindreams.org/blog/self-driving-cars-will-not-solve-the-transportation-problem/
Basically even if you had Interstates which only allowed self-driving cars and all of them could travel at over 120kph bumper-to-bumper and all of them were filled with four people each, you still wouldn't even get to 10% of the capacity of a traditional rail system, running on a single track, with trains arriving at 5 minute intervals (and most cities with rail systems have them arriving at 2 min intervals during rush hour. London has several automated trains. Singapore is fully automated).
Before we start dumping billions into subsidizing self driving cars, how about we build up our self-driving train tech; a known technology which currently exists and transports millions of people every day.
Really? These engineers didn't consider that processing power is constantly shrinking and becoming more efficient?
Also, the claim that SDCs will have computers consuming 2-4 kw seems implausible. Tesla Autopilot consumes WAY less than that, and is doing basically the same thing in terms of processing sensory data. Waymo will have access to TPUs that can process vision data eight times more efficiently than GPUs, which themselves consume no where near 2kw. There may be some heavily instrumented prototypes that have 2-4kw of computing power, but that doesn't mean the production version will do that.
Tesla Autopilot is not much more than lane keeping and auto cruise control.
It can't handle cross traffic without crashing into a truck. It's designed to only be used on motorways. It can't drive through a city. It can't read signs at an intersection to determine who gives way.
Autopilot != self driving. It does exactly what an autopilot does, keeps you on course at the correct speed, and hands back control to the pilot when it detects a scenario that requires a decision.
How much power does the omni directional LIDAR array of your cluster use? Oh, it doesn't have one that works at highway speed and distance, much less allow for cross traffic?
Well then, my welcome mat at home uses zero power and is about as relevant as your anectdote. Thanks for telling us all about your cluster. Do you not have a TV? Oh wait you must, because you would have told us if you didn't. You are that guy.
The sort of person who lives at point A, and works at point B, and has to get up in the morning to drive the same route from A to B and then later in the day drives from B to A every day. Driving is an hour and a half a day (mostly) wasted. If I could sleep or work or jerk it for an extra hour and a half every single workday, I feel like my quality of life would be improved. Just that alone would be an extra 400 hours/year.
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You are on to something with safety in redundancy through separate virtual machines.
Except of course for the "virtual" part.
There has to be physical redundancy such that there is backup when something bricks one of the computers. As will happen every so often when self-driving cars are doing millions of highway miles each year. Additionally, self-driving cars need enough AI to bee able to identify the car ahead in the fast lane with the nearly flat rear tire is a threat; that the hail that is bouncing off the road a hundred yards ahead is a danger; and that little Timmy in the back seat who is making urrping noises means that there is an urgent need to stop on the shoulder so you can get his head out the door before he pukes.
The computer network that has the smarts to handle all the stuff that can happen on the road will easily require 4 kw power, including the cooling system that will keep it functioning when you are stuck in the commuter traffic jam.
As far as driving on the open road is concerned, the best we can hope for in the foreseeable future is improved auto-pilots, that will still require a trained and experience driver, who is alert and paying attention, behind the wheel.
Tesla Autopilot is not much more than lane keeping and auto cruise control.
The sensors are the same. The low level image processing is the same. There would need to be some additional processing to handle intersections, etc. but it would be like maybe 10% more, not 2000%.
The premise of TFA is nonsense.