rxlawdude
Active Member
It definitely uses turn signals.I don't think Smart Summon activates the hazard lights. (It does use turn signals sometimes when turning, I think.)
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It definitely uses turn signals.I don't think Smart Summon activates the hazard lights. (It does use turn signals sometimes when turning, I think.)
Remember that mapping ain't the be-all-end-all - witness Waymo's problems with construction post mapping, for example.Depends on what you define for "right". which is the crux of the argument (and why as I mentioned trying to pick "winners" in a comparison chart doesn't work given people have different criteria).
If "right" is releasing L5, then none of the players are "right" given none of them have reached L5 (or even just wide release L4). The basic paths being taken I see is:
1) Tesla's approach: work to release end-to-end L2, then improve reliability of that until it is to L4 then eventually L5 level. The idea is that they can convert their fleet at a flip of a switch as soon as the software is ready.
2) Others: release L4 in geofenced area relying heavily on HD maps, and achieve L5 by mapping the entire world or at least specific countries. Note that many companies don't have a explicit goal to achieve L5, they would be perfectly happy with L4 (robotaxies can operate just fine in geo fences), in which case the goal would instead be wide release L4 (releasing L4 in many more places than just experimental fleets, like Uber/Lyft's current coverage area vs when they originally started a decade ago).
Of course, Tesla was the first (or one of) with Gen 1 of ME's product.That's the biggest problem with all of Mobileye's solutions, it takes forever to reach the consumer.
Remember that mapping ain't the be-all-end-all - witness Waymo's problems with construction post mapping, for example.
This is Ford's Co-pilot/Mobileye in 2021... Utterly ridiculous, but I'm repeating myself what I said that Mobileye hasn't progressed in years. They don't even have the basics to match Tesla base AP.
That is the mistake that you and @powertoold are making. These are NOT Mobileye's in-house system. They do not represent what Mobileye has. They represent what the legacy automakers have in terms of ADAS.
Can you expand on this? So consumer-deployed ADAS systems powered by Mobileye aren't representative of Mobileye? Are you saying legacy auto developed their own lane keeping and detection NNs? I'm confused.
sopranos?If only others were as honest as you were in the quote above. Because most are sopranos in the torch and pitchfork choir.
Yes. The legacy automakers develop their own ADAS software that is just powered by the ME chip. The only ADAS that is actually from Mobileye is Super Vision.
They haven't mapped cars or pedestrians.What I find most interesting about Waymo's challenges is that despite having everything fully mapped, they're still avoiding many unprotected lefts and lane merges, to name a few. It really doesn't bode well for the other fsd developers with similar approaches hoping to catch up to Waymo.
Do you have some links to back this up? It's news to me.
So from what you're saying, Mobileye is like Nvidia. Nvidia just develops the GPU and videogame developers create the game to run on the GPU.
End to end system, including full Mobileye design, hardware architecture & implementation, ECU design, functional stack, decision layers and end-user function
They haven't mapped cars or pedestrians.
The other ADAS systems don't include this full ME stack.
But given there are no ADAS in consumer hands as advanced as Tesla's other than Enhanced Super Cruise (which as mentioned is only recently adding some features like auto lane change that Tesla had 6 years ago), it's pretty safe to say Mobileye haven't made dent yet (at least here in USA, in China there are a few examples of ADAS systems that are as good as Tesla's, but not necessarily using Mobileye, most of them are using Nvidia, from a quick search). No doubt their demos are impressive, but how long will it be before consumers can buy it and will it be affected by the customizations automakers may make that may make them inferior, like for example that Copilot one using EyeQ4?mobile eye has many offerings, most of which none of us will ever see since we have not signed NDAs and most of the readership, here, is sorely lacking in actual info about the industry.
its often useful to admit when you dont have the full story and just listen for those that might. unless you really have signed the NDAs, and in which case, why are you blabbing about the details, here?
see the problem?
if the info is here, its out of date (stale) or just public info, which is, well, not very useful to judge anyone's state of the art.
just sayin'.
That's an interesting point. From what I see in that datasheet, the "SuperVision" is basically two EyeQ5 High chips and 11 cameras, but it doesn't explicitly say automakers can't customize parameters or limit how the vehicle control happens. Looking at the Copilot video, the failure to make the tighter turns can easily simply be from an automaker set limit on the amount of steering angle that can be used by the system. If this sort of customization is allowed in the SuperVision product, then the same kind of failures can occur even if they offer the entire stack (including the sensors) for perception, decisions, UI.I still don't agree with what you're claiming about legacy auto implementations of Mobileye systems.
That's the whole point of Mobileye advertising EyeQ4 with a list of features. That means the chip comes with software features that automakers can rebadge or adjust to their own liking.
"Mobileye’s EyeQ4 applies enhanced computational capabilities with computer vision algorithms while rapidly processing information from the vehicle’s front-facing camera. With a variety of feature sets including vehicle detection from any angle and next-generation lane detection, EyeQ4 enables automakers to take a major step forward in autonomy, achieving the ability to support and enhance complicated driving tasks."
Looking at the Copilot video, the failure to make the tighter turns can easily simply be from an automaker set limit on the amount of steering angle that can be used by the system. If this sort of customization is allowed in the SuperVision product, then the same kind of failures can occur even if they offer the entire stack (including the sensors) for perception, decisions, UI.
china, for one, but agreed that pretty much everyone in the US would have no visibility into that. and the china stuff is mixed, but its not day and night diff from tesla. point is: tesla does not own all the engineers that can pull off lane-keeping. its not rocket science and expect to see it as a regular feature as more car companies trade people, code, standards, even api's.But given there are no ADAS in consumer hands as advanced as Tesla's other than Enhanced Super Cruise (which as mentioned is only recently adding some features like auto lane change that Tesla had 6 years ago),
I still don't agree with what you're claiming about legacy auto implementations of Mobileye systems.
That's the whole point of Mobileye advertising EyeQ4 with a list of features. That means the chip comes with software features that automakers can rebadge or adjust to their own liking.
If this sort of customization is allowed in the SuperVision product, then the same kind of failures can occur even if they offer the entire stack (including the sensors) for perception, decisions, UI.
Yes. That is what I am saying. EyeQ4 might come with some basic features but the legacy automakers can build upon them to create their own ADAS. So you can't say that it is Mobileye's ADAS since the it has been changed by the automakers.
Nah, I think it's mostly a rebadge with their own logos or branding. It's why almost all the Mobileye-based systems have very similar interfaces on the display.
If you can find some evidence that Ford or Toyota is training their own lane detection NNs or something, then what you're saying will be more convincing. Otherwise, all these Mobileye-based ADAS systems are just using the Mobileye detections / predictions.