Now we talk about human errors but soon we might talk about computer errors. The question is which error will be bigger? There are people that are still fond of the old cars claiming that they can be even better than the last generation cars. There are some thoughts about that on used cars for sale in Pittsburgh PA, the automakers could find some good clues on what people really want in terms of cars.
In modern world everything happens earlier than we think. Having autonomous vehicles on our roads is quite possible even this year. I think the only problem is to make it legit.
I truly believe that it's our future - EVs and no car accidents at all! Clear air and healthy nation!
OOh! I look forward to it!
William - http://www.carid.com/
When autonomous vehicles are shown to be much safer then human driven vehicles then an outright ban on human vehicles is inevitable. Human driving produces an annual death rate of over 30,000 people in the USA alone and most of society will view this as unacceptable. V2V is also inevitable because of improved safety and results in much higher road capacity which reduces congestion and the cost of driving.
Furthermore, speeding tickets would be a thing of the past with autonomous cars moving at their engineering limits at least on the arterial roads tempered only by the physical limits of human biology.
Autonomous vehicles are the key to real mass transist. The current system, involving steel rail tracks able to hold multi-ton railroad cars, is obsolete and cost prohibitive. Stations are too far away from most residences for people to walk up to, and trains are too expensive to make available for on-demand use - in otherwords, the passengers must wait for the train rather than vehicle waiting for the passenger.
A system built to handle vehicles weighing less than 2000 lbs gross would not need the massive infrastructure costs. Individual vehicles would be sufficiently inexpensive that a surplus can be available for on-demand use except during peak traffic periods, stations can be very close to individual residences, and the vehicles, which would only carry a handful of passengers at a time, would be able to selectively skip those stations where current passengers are not intending to get off.
This is all completely ridiculous; we've got here a bunch of very clever people and expensive technology solving a problem that doesn't exist. Get human drivers off the road. Then design a road system for machines. The problem then becomes a lot simpler. It is physically impossible to mix human drivers, working within a set of rules designed for humans by humans, with computer-controlled vehicles.
Hi Matthew. It seems to me that the Google system has to be augmented by real-time information of road conditions where this autonomous car is driving. So for example, is there a huge pothole in th way? Is there a stalled vehicle in the way? Is there some other obstruction that Google maps and GPS can't possibly know about?
The concerns about privacy can be dealt with. This doesn't have to divulge personal info, it only has to divulge the driving environment. I'm not sure there is any way to achieve practical autonomous vehicles with what Google has done so far as the only ingredients.
I'm going to jump in and disagree on this one.
Many Driverless Car safety and privacy concerns revolve around V2V. There's significant resistance within the tech community to anything that can be used to invade privacy, and they are the people we need the most as the early adopters to make this technology viable. This is notwithstanding hacking worries.
While we envisage that V2V is an inevitability we don't see it as a necessity. Cars right now drive without difficulties and they don't have V2V. Driverless Cars have far better driving ability than your average joe driver so they should be ok, at least in my opinion.
Driverless Car HQ
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. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.