Perhaps they watched the V12 demo.Bosch is withdrawing from the development of lidar sensors
That won't help the cost of Lidar.
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Perhaps they watched the V12 demo.Bosch is withdrawing from the development of lidar sensors
That won't help the cost of Lidar.
Bosch is withdrawing from the development of lidar sensors
That won't help the cost of Lidar.
So after the FSD class action lawsuits, will it be Waymo or Luminar that Tesla goes cap in hand to?Waymo builds all their lidar in-house. So this should not affect Waymo.
So after the FSD class action lawsuits, will it be Waymo or Luminar that Tesla goes cap in hand to?
So Bosch is irrelevant. Just be careful to whisper it around the echo chamber. Wilful ignorance is bliss.If Tesla ever does do lidar, my guess is that they would go to Luminar or Velodyne. AFAIK, Waymo does not sell their lidar to outside parties.
The findings indicate that in comparison to the Swiss Re human driver baseline, the Waymo Driver — Waymo’s fully autonomous driving technology — significantly reduced the frequency of property damage claims by 76% (a decrease from 3.26 to 0.78 claims per million miles) when compared to human drivers. Furthermore, it completely eliminated bodily injury claims, a drastic contrast to the Swiss Re human driver baseline of 1.11 claims per million miles.
Furthermore, it completely eliminated bodily injury claims, a drastic contrast to the Swiss Re human driver baseline of 1.11 claims per million miles.
A passenger in the Waymo AV reported injuries.
How can they claim they "completely eliminated bodily injury claims" when reports (from Waymo themselves) have explicitly stated injuries?
Because the study uses data up to Aug 1, 2023 but the injury happened on Aug 2, 2023. So the injury happened after the data cut off date.
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So even the Study agrees, Waymo has not "completely eliminated bodily injury claims", unless you remove any and all cases where there was a test operator in the car, and only include data up until the day before a collision with injury, and even then their error bar is almost to the "baseline human driver". Yup. Sounds about PR.
And before someone comes in here claiming I must be a boomer who just hates AVs and stupid and blah blah blah. I like AVs, I don't like PR spin.
From the paper:If you look at the graphs with the errors bars, you can see the entire bar is below the human data, with no overlap of the error bars. So the Waymo safety was better than humans. The "completely eliminated bodily injury claims'" might be spin but the overall conclusion is correct. And the top tweet says " the Waymo Driver significantly reduced bodily injury ".
Valid “apples-to-apples” comparisons must overcome differences in collision reporting standards between autonomous and human driven vehicles, correct the underreporting in police-report data, use operational-design-domain-specific human driver comparison data, apply a statistical method to measure uncertainty, and should account for crash causation contribution. Improperly controlled variations across collision datasets can lead to inflated or deflated collision statistics, and thus incorrect interpretations regarding safety.
They also convert years driven by the insured into "VMT" or Vehicle Miles Traveled, which is 100% an estimate.In this study, the baseline for comparison was derived from a human population of insured drivers that reside in the same zip codes as the Waymo's service. Benefits of this population include its size and robustness, which lends itself to narrower confidence intervals. In addition, the selected baseline population is likely the population that may use Waymo services instead of driving themselves.
A limitation of the selected human baseline is that the location of crashes that generate claims is not known, which limits the ability to filter claims based on Waymo's Operational Design Domain (ODD). As a result, whereas the Waymo ODD largely does not include freeway driving, the human database includes miles driven and claims which occur on freeways. Due to variations in collision frequency per million miles between freeways and non-freeways, this may have led to a baseline which may be more conservative than a roadway-matched baseline. Due to the fact that in territorial ratemaking the frequency observed for residents in a specific area is considered to be the best proxy estimate of the claim frequency in that area, the impact of these differences is expected to be negligible.
They state that this is estimated out with "regional (state and city) granularity" but then the footnote on this is literally:Since Waymo's claims exposure is measured using mileage, in order to produce a valid human baseline for comparison, we convert the number of exposure years contained in the human driven dataset to the number of exposure miles. To do so, we estimate the annual vehicle miles traveled (VMT) for one vehicle8. Annual VMT per vehicle is estimated at a yearly and regional (state or city) granularity.
So estimated numbers that aren't even listed in the paper is what we're comparing everything to...A generally accepted estimate for annual VMT per vehicle in the US is approximately 12,000 miles. However, due to variations in driving patterns across different US cities and states, we separately estimate annual VMT per vehicle for each region (city or state) within the baseline.
They studied liability claims. They only count accidents when the insurance adjusters assign liability to Waymo vs. the other driver. It's a way to identify fault without limiting the study to the small percentage of wrecks reported to the police.How can they claim they "completely eliminated bodily injury claims" when reports (from Waymo themselves) have explicitly stated injuries?
Waymo says it is safer than Human drivers. But that is only in select locations that have been mapped and driven over hundreds of thousands of times. A Human can drive on any road such as dirt, paved or otherwise. People have stated that these vehicles don't need mapping to function. So why not do an Apples-to-Apples comparison. Put several Waymo vehicles on unmapped routes. A combination of City, Suburban and Rural areas. Then compare the safety of the cars with Human drivers.
That's simply not true. If another car runs a red light and hits me they are at fault. I might have been able to stop and avoid the accident entirely. So what if (purely hypothetically) the not at-fault accidents revealed that waymo cars are terrible at avoiding accidents even when not at-fault?They studied liability claims. They only count accidents when the insurance adjusters assign liability to Waymo vs. the other driver. It's a way to identify fault without limiting the study to the small percentage of wrecks reported to the police.
The initial goal is to reduce at-fault wrecks ~100%. You can't do much about the other wrecks, so it makes sense to exclude them.
That's a second order effect, and much harder to measure. Waymo ran their simulator for a bunch of Phoenix human-human wrecks and found they would have avoided many of them even when put into the role of the not-at-fault car. But that's a biased approach with pretty useless conclusions.That's simply not true. If another car runs a red light and hits me they are at fault. I might have been able to stop and avoid the accident entirely. So what if (purely hypothetically) the not at-fault accidents revealed that waymo cars are terrible at avoiding accidents even when not at-fault?
that is why I slow down when going through a green signal, especially when I am the first car going through. I don't care if it is my right and that I will be a no-fault. I will slow down.That's simply not true. If another car runs a red light and hits me they are at fault. I might have been able to stop and avoid the accident entirely. So what if (purely hypothetically) the not at-fault accidents revealed that waymo cars are terrible at avoiding accidents even when not at-fault?
Waymo said, in the tweet " the Waymo Driver significantly reduced bodily injury & property damage claims in comparison to the human baseline."How can they claim they "completely eliminated bodily injury claims" when reports (from Waymo themselves) have explicitly stated injuries?
It may be the other drivers fault, but it's still an associated injury claim with the Waymo driver.