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Interesting waymo interaction with other drivers on a narrow road, pulling over to the side to make way for oncoming traffic.
Some of those streets are ridiculously narrow with double parked cars on both sides of the streets. I've been spoiled by where i live, its mostly wide streets.It shows Waymo is actually considering how much space the other vehicle needs to pass safely, not just it's own, and can pull over to give the other vehicle the space it needs. That's advanced behavior. And it does it very smoothly too.
Some of those streets are ridiculously narrow with double parked cars on both sides of the streets. I've been spoiled by where i live, its mostly wide streets.
I don't see how HD maps help with this. You need to precisely know your distance relative to the un-mapped parked and moving cars. Your precise location on the road doesn't really matter. LIDAR is best for this. Ultrasonic sensors are second best.Yes, some of those streets are very narrow. And I think narrow streets are a good example of why HD maps and lidar are beneficial. The fact is that sometimes, you need that cm level precision because the space is just so tight. Certainly it is helpful if you want confident, smooth driving. Without that precision, the AV is more likely to hit something, or at the very least, be very hesitant, jerky, or get "stuck".
I don't see how HD maps help with this. You need to precisely know your distance relative to the un-mapped parked and moving cars. Your precise location on the road doesn't really matter. LIDAR is best for this. Ultrasonic sensors are second best.
This is correct. It's not just a matter of seeing and measuring the distance to the other car but contextualizing the other road agents and their action so you can navigate around them. I'm not saying you cannot do that with just live sensors but a prior is valuable.I agree lidar is best for the precise distance measurements. HD maps are probably not super essential for this type of scenario. The reason I mention HD maps is because of localization. If you can precisely locate yourself on a cm precise map, it could help the car maneuver since you will know exactly where you are relative to say the curb or a side street etc... And with parked cars blocking the view, your cameras and lidar may not see the curb. so having that knowledge on a precise HD map could help IMO.
Localization provides the 3D pose of a self-driving car inside a high-definition (HD) map, including 3D position, 3D orientation and their uncertainties. Unlike the use of a navigation map with GPS, which only requires an accuracy on a scale of a few meters, the localization of a self-driving car has a much higher requirement of accuracy relative to the map, usually on the order of centimeters and a few tenths of degrees.
The value of localizing to a HD map might not be immediately obvious, given the rapid progress in live perception. However, when localized to a HD map, the car can make decisions based on information beyond its current field of view.
Localizing to a HD map also allows a self-driving car to contextualize the behaviour of other nearby vehicles within the map. At an intersection for example, it can recognize that an oncoming car is in a left turn lane and will not proceed straight, making it safe to perform an unprotected left turn
The FSDb also is able to do so. I might records that and post it. I was so scared when I first let it do it but now I have no worriesSome of those streets are ridiculously narrow with double parked cars on both sides of the streets. I've been spoiled by where i live, its mostly wide streets.
What does the car do if there is no room to pull off to the side? Say there is a drop off at the edge of the road
Seems an obvious high-volume destination to work towards.According to this article, Waymo is in in early discussions to expand service to SF airport but no official announcement yet:
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Does Waymo handle potholes and road obstructions such as fallen cardboard box, tires, etc?