The State of Self-Driving Cars: Autonomous Advances


Posts: 135   +269
Where could families enjoy each others company while being transported… I’d say trains but that one’s too obvious? Ships? Buses? Oh yea wait… any type of social, low environmental impact transportation x) a self driving car? No offence but why would I need one if my city has a perfectly fine metro? Good bike paths? Is interconnected with other similarly designed cities through high speed rail? Autonomous vehicles are a distraction from real investments in the future of transportation.


Posts: 135   +269
Your challenges section is incomplete. It makes 0 mention of the weather.

Snow, heavy rain, dirt, these things easily cover sensors. Any self driving car will have this issue, and unless the laws of physics can be bent it will always be an issue. Notice most self driving testing is in Arizona and the like? There is a reason for that.

Look at railroads. They run on dedicated tracks, they cant steer themselves, and everything is run on schedule. They even have radio communication at all times. They are not automated due to safety issues. If they cannot safety automate trains, they will NEVER manage cars, which have two axis of movement and far more complicated operating standards.

Clearly an American… so automated trains do exist, and are in fact extremely common…
That said the paragraph on level four about models with that level of tech being sold without steering wheel and pedals because it will drive in the right conditions is straight up hilarious xD I mean so your car is just useless in the rain? Need a second car for bad weather or slim roads? I hope no one actually ever attempts to sell that…


Posts: 751   +498
Flying taxis??

You remind me of that app, what was its name..... Eliza I think. It was a program for DOS which could only understand parts of the sentence. And then it would repeat that part. Kinda like psychotherapists. I think it had like 200 lines of BASIC code.
Very nice overview.

Redundancy is necessary, which Tesla (Musk) has thrown out for simplicity and cost savings. Hopefully, Tesla will eventually realize their current approach (neural networks, code and only cameras for input) is not going to get them to level 4-5, and rethink their approach. Of course, the mapping s/w approach followed by some would work fine at Disney World, but is an idea that should have been aborted early on when you consider driving in vast America with near constant road work. The massive LiDAR sensors aren’t practical or economic unless they can miniaturize them while still retaining some usability. I do think radar would be really useful in rainstorms and fog conditions to avoid the massive vehicle crash looming ahead.

I own a Toyota with its Toyota Safety Sense (TSS) with a camera and radar, which is useful as adaptive cruise control on an interstate to keep a safe buffer distance to the car ahead. It’s also useful to remind you that you need to stop in case you are inattentive, & it applies the brakes. However, because its processing time is so slow it often reacts after the car ahead has turned off the road. It also suffers from phantom braking while on cruise if a car brakes in an adjacent lane. Still, it’s limited, but useful as long as the sensors are clean and one realizes its limitations.

Finally, I would like to add that I have ridden a road bike for close to 50,000mi for 8yrs, and I can’t wait for self-driving cars because humans are terrible drivers. However, I had become a lot better at seeing situations develop ahead of time and taking actions (getting off the road, or stopping at a green light as I watched a car go through a red light). Last year, I decided one day to switch to walking from road cycling because I was becoming a bit bored and the relentless risk of being run over by distracted, road-rage, sleepy, and basically incompetent drivers (passing in no passing corridors, not stopping for stoplights, etc.). I have no doubt that level 4/5 self-driving will be achieved in a few years. And today with simulations, it is straightforward how to test it under terrifying conditions to see if it can not just avoid deaths, but have the forethought, or would they call it a predictive processing algorithm (PPA)) to avoid the accident outright. When that day comes, cycling and resident deaths from cars will drop close to zero.


Posts: 751   +498
A taxi driver from India with GPS navigation on his cellphone is Level-5 and more affordable than Level-2 Tesla.
Having AD of class 3 is very problematic, but classes 4 and 5 are impossible with the existing technologies.
Autonomous driving requires the ability to deal with the unknown but programmed systems do not able to possess that ability to the full extent.
We are able to, thanks to our subjective nature, which makes us highly universal and able to deal with the unknown because we behave on the basis of our subjective experience.
The subjective experience did not have any inherited constraints and by that, the behavior of a subjective system could be of any kind from a repertoire accessible to a behaving body.
That is, for possessing a feature of subjectivity, a system should have a behaving body.
So, only a humanoid robot, converted into a subjective system could operate the existing vehicles autonomously, as we are, in the existing transportation environment, but better.

Any fortune could not help to break the laws of Mother Nature.
Autonomous driving requires additional technologies from our highway infrastructure. Highway systems were designed to interact with human drivers, who understand and react to road and traffic conditions. To safely and seamlessly integrate autonomous vehicles into our transportation system, we need to evolve our highway designs and technologies. One way to do this is to integrate enhanced lane technology, which can provide real-time information about lane conditions and help autonomous vehicles navigate safely.

Here are some specific examples of how enhanced lane technology can help autonomous vehicles:

Lane markings: Enhanced lane markings can be made more visible to autonomous vehicles, helping them to stay in their lane.
Lane sensors: Lane sensors can detect objects in the lane, such as other vehicles, pedestrians, and cyclists. This information can be used by autonomous vehicles to avoid collisions.
Lane guidance: Lane guidance systems can provide real-time instructions to autonomous vehicles, helping them to navigate safely through complex intersections and other challenging driving environments.
By integrating enhanced lane technology into our highway infrastructure, we can help to make autonomous driving a reality.