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Here's a picture of the zFAS architecture. You are correct that sensor fusion occurs on other chips, not on EyeQ3:I quoted Shashua from a 2015 investor call:
Was he lying?
EyeQ3 on it's own cannot do this, so..?
The article you linked to confirms that EyeQ3 is in zFAS for ADAS.
The picture I linked to shows a DrivePX board with EyeQ3.
Which part is not true?
Mobileye go into a little bit of detail about the role of EyeQ3 in zFAS in a recent PR [link]:
Interesting that they classify radar and lidar as redundant information, and call out Altera and Infineon for sensor fusion.
Then they move on to general & forward-looking statements. Note that they specify Computer Vision in the present tense.
No mention of path planning or debris detection.
The two Audi videos in the link are worth watching to see what could have been, if only they had used the right type of magic hay...
Just some recent news from this month to get things going.
Voyage is starting their self driving car trial:
Voyage’s first self-driving car deployment – Voyage
Details of recent Cruise accidents last month:
GM's self-driving cars involved in six accidents in September
New Ford CEO comments on how he views self driving cars (in same article it mentions new partnership with Lyft and also a recent $1 billion investment Argo AI, a new startup that just launched February):
6 accidents in the same month does seem like a lot though. I don't remember there being that many for other companies (even ones operating in the Bay Area). However, you are right that they increased their fleets drastically, so that probably has to do with it. I just saw another one yesterday.No at-fault Bolt AV incidents. Waymo and Uber moved most their testing to AZ where the roads are simpler and you don't have to report accidents or disengagements. GM increased their SF fleet.
6 accidents in the same month does seem like a lot though. I don't remember there being that many for other companies (even ones operating in the Bay Area). However, you are right that they increased their fleets drastically, so that probably has to do with it. I just saw another one yesterday.
If you read the accident reports, they are nearly all minor rear end collisions, some with no damage at all. These are very common incidents in tight urban areas and congested freeways. Perhaps hundreds a day occur in the Bay Area.
If I recall correctly it a little on the high side statistically speaking.
What might account for that is the autonomous car is either stopping or slowing down where human drivers don't expect it to. So even if the autonomous car isn't at fault it still potentially could have induced the human driver into crashing.
Like my moms driving most definitely induces people to doing crazy things to get around her. So I love the idea of getting her into an autonomous car, but it's not going to do any good if it's as slow and annoying as she is.
Hopefully human drivers and autonomous cars will learn to coexist, but I'm worried that the human will just end up bullying the autonomous car. Where the autonomous car is going to find itself trapped as human drivers realize that it won't disobey its programming. It's not like a human driver that will get restless and angry.
Maybe we'll have anti-bullying driving laws.
Thinking it through: Tesla started on their Atlas system back in 2015, or so they claimed. I would imagine they had to throw away all of that original harvested data. Since it was generated on Mobileye's vision platform, it's probably only works properly when paired with Mobileye's vision platform to do the same landmark detection required for localisation. AP2 "sees" the world differently, and thus would require its own map to localise within.
To add to Waymo:Waymo and Uber moved most their testing to AZ where the roads are simpler and you don't have to report accidents or disengagements.
Maybe...I believe they are going for even higher precision maps this time - perhaps made using the cameras
"by collapsing the entire sensor down to a single chip, we’ll reduce the cost of each LIDAR on our self-driving cars by 99%."
"Our new sensors are robust to interference from sunlight, even in extreme cases, which means they’ll continue to operate in situations where camera-based solutions fail. When the sun is low in the sky and reflects off wet pavement, camera systems (and humans) are almost completely blinded. And when a person in all black is walking on black pavement at night, even the human eye has trouble spotting them soon enough:"
"Strobe’s LIDAR sensors provide both accurate distance and velocity information, which can be checked against similar information from a RADAR sensor for redundancy. RADARs typically also provide distance and velocity information and operate under more challenging weather conditions, but they lack the angular resolution needed to make certain critical maneuvers at speed. When used together, cameras, LIDARs, and RADARs can complement each other to create a robust and fault-tolerant sensing suite that operates in a wide range of environmental and lighting conditions."
To add to Waymo:
Waymo deploys 500 self-driving Pacifica hybrid minivans in Phoenix for rides open to public
Waymo’s self-driving minivans are now offering rides to real people in Arizona
application at Early Rider Program – Waymo
To go back in time,was released by Google in March 2012.
was uploaded on March 30, 2017 w/a reporter riding along for self-driving in the UK.
Testing of Autonomous Vehicles has a list of companies/entities issued Autonomous Vehicle Testing Permits by California DMV.
(CA) disengagement reports so far at:
Autonomous Vehicle Disengagement Reports 2015
Autonomous Vehicle Disengagement Reports 2016
When I was at an EVent (2018 Nissan Leaf preview) at Nissan's Sunnyvale research office on Sept 14, 2017, while we were all waiting in line to get into the building, I saw at least 2 or 3 Baidu test vehicles (they had lidar on top) go by. Baidu has an office right across the street from Nissan research: Google Maps. Both were very odd experiences: waiting in a long line outside a Nissan corporate building to get in and watching that many self-driving car test vehicles pass by in such a short time.