clydeiii
Member
NoA combines all of those things together, plus allows me to focus less on navigation and more on being aware of the cars around me.
You can install our site as a web app on your iOS device by utilizing the Add to Home Screen feature in Safari. Please see this thread for more details on this.
Note: This feature may not be available in some browsers.
NoA combines all of those things together, plus allows me to focus less on navigation and more on being aware of the cars around me.
Yeah, most likely Tesla is using this lane merge map data to automatically label training data on when to yield for merges similar to using traffic light map data to automatically label red and green lights. So the neutral network could additionally output whether the car should yield based on the visual appearance of the lane and other vehicles. Tesla already has something like this for cut-in detection, so this might be well under development already.I assume that it will be replaced with a vision system that reads all the lane markings and signage to figure out what lane to be in, like a human would
Highway NoA (internally called "Drive on Maps") seems like throw-away code to me, I assume that it will be replaced with a vision system that reads all the lane markings and signage to figure out what lane to be in, like a human would. So the planner will rely on that instead of map data. Either they need that or a massive, expensive effort to accurately tag lane data in their mapping source.
Have no idea where you got this "Drive on Maps" reference. This video shows the cameras (vision system) picking up many items. Thanks to %green% and company for providing this.Highway NoA (internally called "Drive on Maps") seems like throw-away code to me, I assume that it will be replaced with a vision system that reads all the lane markings and signage to figure out what lane to be in, like a human would. So the planner will rely on that instead of map data. Either they need that or a massive, expensive effort to accurately tag lane data in their mapping source.
Assuming HW2/.5 is indeed close to maxed out, this might be something for the DeepScale acquisition to help optimize the neutral network to slightly increase the capability of cut-in/merge detection but not probably not possible to optimize FSD into the slower hardware.HW2's inference hardware is already maxed out, it seems, with the current workload on the neural net.
Highway NoA (internally called "Drive on Maps") seems like throw-away code to me, I assume that it will be replaced with a vision system that reads all the lane markings and signage to figure out what lane to be in, like a human would. So the planner will rely on that instead of map data. Either they need that or a massive, expensive effort to accurately tag lane data in their mapping source.
Have no idea where you got this "Drive on Maps" reference. This video shows the cameras (vision system) picking up many items. Thanks to %green% and company for providing this.
I think for longer-distance planning it still needs to be aware of lanes and other road information so it doesn't make mistakes such as getting stuck in turn-only lanes when it could've made an extra lane change earlier on. This is similar to how we memorize the ideal routes and lane changes after driving them a few times (and can rely on relatively aggressive maneuvers when making mistakes the first time we drive somewhere). I doubt this knowledge is something they'd want to rebuild from scratch, but even if they did, they would arrive at pretty much the same solution as they have now.
Well, yeah, that sucks. Keep reporting that bug via the car. In my 25-mile commute, it is nearly flawless, and of course in the places it isn't, I know exactly where those are and what to do if the car doesn't perform as expected.OK, you can combine all of those things together without NoA, as I do. And in my experience, which matches the experience of quite a few other people clearly, NoA does not allow me to focus less on navigation because on the roads I drive on at least, it is wrong more often than it is right about what lane to be in when to make your exit, and where the exit actually is. On my regular commute is a spot where it will dive into an emergency pull-over lane (which only exists for about 100ft) 100% of the time, forcing me to take over. This does not make me safer.
I honestly don't see how this could be described as "nearly flawless" by anyone anywhere.
...On my regular commute is a spot where it will dive into an emergency pull-over lane (which only exists for about 100ft) 100% of the time, forcing me to take over. This does not make me safer.
Well, yeah, that sucks. Keep reporting that bug via the car. In my 25-mile commute, it is nearly flawless, and of course in the places it isn't, I know exactly where those are and what to do if the car doesn't perform as expected.
If you've learned that pattern, why not just hit the turn signal to request the car turn into the lane on the opposite side shortly before that spot? Seems easy to solve, without needing to disengage autopilot? Or just hit the Navigate on autopilot button for a few seconds, let normal AP handle that stretch?
Was AP1 more IF-THEN-ELSE vs AP2+ being more based on the ever updated NN/ML? The more data they train their NN/ML with the more it will 'learn' or have behavior changes I thought.AP2+ is all over the place. I can never quite predict how it's going to behave, even on repeated known routes... let alone in some place unfamiliar.
Sorry but that 'unfamiliar areas ... significantly higher' comment did not match my experience in the long trip I mentioned (and showed map for) in some post above (Toronto, Niagara Falls, etc).As the post above notes, NavOnAP would be most useful in unfamiliar areas... but these are the same areas where you would need to be triple diligent when using the feature in the first place... which makes the driver workload significantly higher than just not using NoA at all.
Was AP1 more IF-THEN-ELSE vs AP2+ being more based on the ever updated NN/ML? The more data they train their NN/ML with the more it will 'learn' or have behavior changes I thought.
I've tried NoA a bunch more since my last post, trying to see if it's improved at all. I've even given it a go over about ~500 miles of driving in California recently, since everything Tesla seems to work better in California.
In summary, it's still pretty useless and just adds more headache to the trips than needed in most cases. It still will wait way too long to overtake vehicles... slowing down significantly before starting a merge. There's so much error in the decision process it's doing that I generally have to abort 2/3 suggestions it makes for lane changes for one reason or another. Things ranging from starting to move directly into other vehicles to general stupidity in lane changes like moving back behind a slower vehicle that it's clearly aware of, slowing down, then immediately wanting back in the passing lane.
The phantom braking with AP2+ overall is very real still. In the nearly brand-new Model X I was driving around for my California trip recently, the phantom braking was almost a complete show stopper for AP usage in even light traffic.
... which really makes me wonder where the rave reviews of this feature are really coming from.
The bottom line for me right now is that even if it did work 100% as it should, it's still more trouble than just using AP alone or not using AP at all.
If I have to initiate the lane change myself anyway, what the heck is the point.
Then, with lane change confirmation disabled, the car won't do the lane change unless it detects torque on the wheel (supposedly hands)... which means I could have just steered to make the lane change myself anyway.
Unless you're driving on a road with zero traffic, it's more trouble to babysit NoA than it is to just drive manually or drive with just AP and manually initiated lane changes.
When I started this thread almost a year ago, I really figured Tesla would have made significant improvements to NoA by now. Instead, it's pretty much just as bad as it was a year ago. That's kind of sad, really.
I super disagree with your post wk057. In Maryland, at least, NoA has become much more aggressive when changing lanes. I drive about 50 miles every day on NoA and the improvements in the feature since its debut have been remarkable. It makes my daily commute so much better. I'll never go back. It's far more than a gimmick, it's literally making my commute safer and less stressful. We all need NoA.
Lane changing is much smoother and more assertive. I tried it with Standard and Mad Max. I prefer mad max because it feels more aggressive and less hesitant during lane changes. Moving in and out of traffic was better than before as well. It knows to take the passing lane to pass a car ahead in’s of moving in and out of traffic for no reason like previous updates. I had to take over curved exits since the speed is reduced too much, maybe it’s being overly safe but cars in the back was tailgating me a bit. Lol.