50 per cent of EVs to adopt zonal architecture by 2030 says Infineon.

Infineon said on Dec 14 that the transformation of automotive architecture from domains to zones will take at least a decade.

Magna to buy Veoneer Active Safety for $1.53 bln to bolster self-driving tech.

The deal is expected to add to Magna's sensor and full systems capabilities, including radar, camera and driver monitoring, and add 2,200 engineers for systems, software and sensor development.

Veoneer Active Safety sales are projected to be about $1.1 billion in 2022 and increase to about $1.9 billion in 2024.

Important news releasesl rare the week before Christmas

The upcoming Sony Honda Mobility JV reveal at CES 2023 would be noteworthy if an impressive HUD and HMI built to enhance safety was the focal point.

correct
building more expensive vehicles because of entertainment and comfort instead of safety is not going to play out well as vehicles are way too expensive relative to income.

ZEEKR is proud to announce that the state-of-the-art driver-assist function NZP, powered by Mobileye SuperVision technology, will be available to leading customers in January 2023.
Zeekr

Johann Jungwirth, SVP, Mobileye -
Looking forward to the launch of the full Mobileye SuperVision experience with Zeekr - have been working hard to reach this important milestone, with our Premium ADAS solution with the wide set of applications all the way to Navigate-on-Pilot.

wth
mobileye looking for Senior IT Architect in Germany on company website

data center for REM ?
GDPR compliance ?
VW ?
ZF ?
Sixt ?
Moovit ?

Qualcomm is officially launching the next generation of its automotive system-on-a-chip (SoC), the Snapdragon Ride Flex.

Snapdragon Ride Flex is already sampling and will be commercially available in the first half of next year.

"Qualcomm had pre-programmed a route for the 15-minute drive.'

"That said, it required an operator to initiate self driving at the appropriate time and to monitor it. There were a few times he had to intervene, even with straightforward highway driving scenarios that did not appear uniquely stressful or complex. In the end, the demo had the same "so close, yet so far" feeling that has plagued autonomous driving for years."

Qualcomm told me the vehicle is classified as "Level 2+"

Linkedin Jon Bonte

The primary computer in the self-driving car was an enterprise class, automotive grade, full custom ECU with over 10,000 electronic components for Artifical Intellgence processing and Machine learning. Argo's entire driverless stack ran on this module. It was ASIL D rated and contained server class x86 CPUs, enterprise AI GPUs, almost a dozen microcontrollers and interfaced with the entire vehicle sensor set.

Tesla Level 3 regulation hurdle?

Level 3 regulation requires every function have redundancy?

Innoviz CEO Omer Keilaf -
"regulatory requirement that for every function in the vehicle there
will be redundancy. The vehicle will only be able to make decisions based on a camera as long as there is someone sitting in it to look at the road. The investment in Tesla will go down the drain"

www dot calcalistech dot com/ctechnews/article/e6oncirqx

Mobileye begins productization of EyeC-Lidar and EyeC-Radar in 2024.

Zeekr-001 SuperVision ODD level is now currently supporting Highway/Ramps (ODD3 blade).

In 2023, Arterial (ODD4 blade), Rural (ODD5 blade), and Urban (ODD Full) will be activated for Zeekr-001.

No indication to what extent shadow-mode validation determines the activation timing of each ODD throughout this year. There was also no indication if China regulatory environment contributes to a need for the phased roll-out.

if zeekr001 is eyes on and hands off on highways and ramps in china now, why not at this very moment invite reporters in israel or europe to ride in the zeekr001 with the same level of assisted driving to experience the current supervision that is public in china?

The Mobileye IPO slidedeck was important.

What is the scope of the Highways, Arterial, Rural, Urban road networks in the US and Europe for Mobileye’s hands-off driving? (ie "everywhere" for SuperVision hands-off or Chauffeur Full ODD eyes-off blade driving mode).

The term "everywhere" is used categorically by Mobileye while most consumers will interpret the meaning literally without further information.

The definition of "all" roads has not been defined explicitly on the Mobileye website but a reference did appear recently.

Are there basically about 800,000 miles of roads in the US and about 800,000 miles of roads in Europe that fall into the "qualified" road category where hands-off driving can be activated and this mileage estimate is close to the final Roadbook mileage scope for the US and Europe ? (explaination follows)

From this weeks Q422 earnings call -

CEO - "Our REM map now covers nearly all roads in the U.S. and Europe."

From the October 2023 IPO Roadshow slides -

"US Road Data in the Coverage US > 90% of the approximately 0.8 million miles of motorways, trunk and primary roadtypes in the US"

"Europe Road Data in the Coverage of > 80% of the approximately 0.8 million miles of motorways, trunk and primary roadtypes in Europe"

From the Intel Q2 2022 Earnings Call Transcript July 2022

"This data is automatically built into a map, which currently covers greater than 90% of all roads in both Europe and U.S., which will support systems across the entire driving assist to autonomous vehicle spectrum."

US Transportation Dept
In the US there is a total of about 4.2 million miles of highways, arterial, rural and urban roads. But about 3 million of the 4.2 million miles are classified as rural (versus urban) roads. And of these 3 million rural roads, about 2.3 million are classified as Level 2 Local Collector and Level 2 Minor roads. (note: independent estimates of the percentage of unpaved roads varies greatly).

www fhwa dot gov/policyinformation/statistics/2008/hm60 cfm

On a sidenote, when does the SuperVision hands-off or the Chauffeur Rural ODD5 eyes-off function activate on a rural road? Is a non-divided two lane wide public paved road the criteria?

Unless Mobileye "switched on" several million miles of roads in the US in the last 3 months, "all" roads is not actually "all" highways, arterial, rural, and urban roads according to a comparison to the above table (800,000 miles is currently about 20 percent of the total US road network).

Ushr/DMP and GM UltraCruise maps
Ushr has recently expanded its high-definition map database for General Motors to cover more than 400,000 miles of roads in the United States and Canada, with an additional update to follow in 2025 tentatively.

For the REM Roadbook to finish the ramp up from "motorways, trunk and primary roadtypes" to "Highways, Arterial, Rural, and Urban", an addition of how many miles, if any at all, from the current approximate 800,000 in both the US and Europe is necessary? Were the above statements definitive and is the current European and US Roadbook basically nearing the final mapping mileage scope?

If this is the case, with little effort an OEM could ramp to the SuperVision Full ODD hands-off mode quickly given the maps are now built. Once Zeekr completes shadow mode validation and homologation in European trials, could a Zeekr
vehicle enabled with the SuperVision Full ODD hands-off capability traverse Europe in mid 2024. Zeekr CEO An Conghui did state at CES the Zeekr 001 launches in Europe in 2023.

And what does Tesla FSD cover?

Urban Road Types
INTERSTATE
FREEWAYS AND EXPRESSWAYS
OTHER PRINCIPAL ARTERIAL
OTHER MINOR ARTERIAL
COLLECTOR
LOCAL 2

Rural Road Types
INTERSTATE
OTHER PRINCIPAL ARTERIAL
MINOR ARTERIAL
MAJOR COLLECTOR
MINOR COLLECTOR
LOCAL

Curiously, what constitutes a "road" for the REM Roadbook for which SuperVision hands-off or Chauffeur Full ODD eyes-off functionality can be activated has never been explained.

"In 2023, the industry must overcome two principal challenges if autonomy is to move to the next level. First, we need precise absolute positioning in all current GNSS-denied or -obscured environments, no matter the weather or road condition. Precise absolute positioning is defined as lane-level (10 cm [4 in.]) precision. Achieving that in all facets of a typical drive from freeway to downtown corridor and underground is essential.

Adding to this requirement is the need for Automotive Safety Integrity Level (ASIL) certification of the software, hardware, correction source and integrity of the management. With all ASIL-certified parts, OEMs will feel more confident the solutions can be used for mass production.

Second, to make these maps more accurate, crowdsourcing — using passenger or shared mobility vehicles, not vehicles dedicated solely for mapping – is crucial. Maps are only as good as they are current, so a continuous stream of data from road vehicles that regularly drive the same path is critical to keeping maps current and providing complete situational awareness of a vehicle. Techniques such as map-based localization are paramount to that process and fusing sensor data to help derive a correct position. By taking the GPS positions of a vehicle and using visual cues to understand where the vehicle is based on the odometer, map-based locations can perceive what is around the vehicle.

For instance, if there’s construction on a certain route, there needs to be a real-time way to transmit and process that data in order to send it to the next vehicle on the road. Instead of having expensive dedicated mapping vehicles, the ultimate, cost-effective way to do this is by having everyday road vehicles become those mapping vehicles. Using numbers and vehicles as mobile mapping vehicles themselves creates high-fidelity, very usable maps in real time.

Think of it as a version of Google Maps and how it projects traffic – compiling data from all users to showcase which routes are busy, when police or construction are ahead and when there might be a better route. MBL is like Google Maps, but much more. It’s as precise as precise can get. It won’t just find the local Starbucks, but it will know which lane you need to be in to get there and, if there is a lane that’s closed for construction, it will show you which lanes are open with the fewest stops."

Wards