Member Info for terrym

Baxter

Aim is a dog

Lack of PR and Association news -- hopefully changing

Not in profit yet--hopefully changing

New industry no benchmark to go against--Market dont know how big the market is

Wars, economic uncertainty

Inflation

ramping up the numbers and profit most important--hopefully changing

Baxter

Thats why i sold £10k SEYE and bought SEE earlier in week at 4.1-4.2p.

Real value and SP dont always go together.

When we was 13p+ we prob had $180m booked Auto instead of now nearly $400m.

Fleet we prob had 18,000 connections instead of 56,000 and hopefully over 60,000 after TPIs announced.

Aviation was probably 5 years away from fruition of decent income, instead of 12 months away.

I agree its crazy we prob 10 x better than the SP is atm. Once the numbers stsrt climbing iam sure Mr market will wake up.

If someone bought $1000 in Microsoft when launched thats about $5.5m now, so it shows things do change :)

Elf-driving cars have been crowned the future of the automotive industry, but in their current form, the software powering those vehicles is stuck in the present.

One significant flaw in the self-driving systems has yet to be worked out, according to experts. When there's potential for an accident, the systems often returns control to the human driver without enough time for someone to avoid a collision, automotive industry experts told CBS MoneyWatch. In other words, the software does not know how to react when the unexpected happens, such as an animal darting onto the road.

The major flaw came to bear earlier this year when a Ford Mustang Mach-E SUV crashed into a 56-year-old Texas man who was driving a Honda CR-V. The Mach-E had its partially self-driving feature — which Ford calls BlueCruise — activated during the crash, in which the CR-V driver was killed. On Monday, the National Highway Traffic Safety Administration (NHTSA) said it's looking into what role BlueCruise played in causing the Texas accident.

https://www.msn.com/en-us/money/companies/the-main-reason-self-driving-cars-are-not-ready-for-prime-time/ar-AA1nZHtz

The Geely subsidiary says it will offer hands- and eyes-off driving at speeds up to 130 kph in Europe.

BEIJING – Geely premium electric carmaker Zeekr will follow Mercedes-Benz and BMW by offering Level 3 autonomy in European markets where the technology is allowed, the head of the brand's Swedish R&D facility said.

Starting next year the automaker's two European models – the X compact SUV and 001 midsize shooting brake – will offer hands- and eyes-off driving at speeds up to 130 kph (81 mph), Zeekr Technology Europe boss Giovanni Lanfranchi told Automotive News Europe.

So far, only Mercedes-Benz and BMW offer Level 3 capability in Europe. The German automakers limit use of the autonomous driving option to highways and a maximum speed of 60 kph.

Mercedes will increase that speed in Europe to 90 kph by the end of this year, head engineer Christoph Starzynski told journalists on the sidelines of the Beijing auto show here last week.

A LOOK AT THE LEVELS

Automakers and technology companies have used the Levels of Driving Automation, as defined by SAE International, to describe the capabilities and limitations of automated driving systems. Here are those levels and examples of some systems.

Level 0 -- A human is driving at all times. Features are limited to warnings and momentary active assistance, such as automated emergency braking.

Level 1 -- A human is driving at all times. Features support steering, braking or throttle inputs. Adaptive cruise control is an example.

Level 2 -- A human is responsible for vehicle operations, even if they are not actively controlling the vehicle. Features provide both steering and throttle control, such as lane-centering and adaptive cruise control at the same time.

Level 3 -- An automated system is responsible for driving when engaged in a specific area, such as a highway, but a human driver must take over when the system requests they do so.

Level 4 -- An automated system drives, and a human has no role in the driving process. These systems may operate in specific conditions and limited areas. No vehicles with these types of systems are for sale to consumers.

Level 5 -- The same as Level 4, except these vehicles can drive everywhere in all conditions.

Chinese EV makers have rapidly rolled out Level 2 autonomy in their home market but have been more cautious about offering those systems in Europe, where they need to access new mapping.

Level 3 autonomy is not currently permitted in China.

Zeekr was the first automaker to use Mobileye's advanced Supervision suite of sensors, which give its cars a top level of advanced driving assistance but stop short of allowing the driver to hand over full control.

https://europe.autonews.com/automakers/zeekr-joins-mercedes-bmw-adding-eyes-hands-driving

I feel more confident this week than i have done for months :)

Paul buying

Martin buying

Nicks rare comment on Linkedin

Magna winning Pace Award for mirror

Magna mentioning SEE

SEE marketing Mercedes

SEE/Magna possibly winning back 1/3rd of contract that was awarded to SEYE in Dec 22 with Ford

Hoping the TPIs are good! Looks like next week now as they dont RNS on a Friday much.

The big one is August for me, TPIs and results

We caught up with Caroline Chung, Engineering Manager at Magna, to gain insight into the key challenges and considerations associated with driver impairment within the vehicle cabin. Don’t miss Caroline’s presentation at InCabin USA 2024 where she will dive deeper into this topic.

1. What are the key challenges in detecting and mitigating driver impairment within the vehicle cabin, and how are these challenges being addressed through technological advancements?

Detecting and mitigating driver impairment within the vehicle cabin presents several challenges. One challenge is the variability in impairment symptoms, as different individuals may exhibit different signs of impairment such as drowsiness, distraction, or intoxication. Another challenge is the need for real-time monitoring, which requires systems that can accurately and non-intrusively assess the driver’s state continuously. Environmental factors within the vehicle cabin, such as noise, vibrations, or lighting conditions, can also effect the accuracy of impairment detection. Additionally, striking a balance between accurately detecting impairment and avoiding false alarms is crucial, as false positives can lead to unnecessary interventions while false negatives can result in missed opportunities for intervention. Technological advancements are being made to address these challenges, including the integration of advanced sensors, the use of machine learning algorithms for data analysis, multi-sensor approaches that build upon existing camera-based driving monitoring, and the creation of intuitive human-machine interfaces. These advancements aim to improve the accuracy and reliability of impairment detection, ultimately enhancing road safety.

2. What are the ethical and legal considerations surrounding the use of in-cabin monitoring systems for assessing driver impairment, and how are industry stakeholders navigating these challenges?

The use of in-cabin monitoring systems for assessing driver impairment raises important ethical and legal considerations. Industry stakeholders must ensure that drivers’ privacy is respected, and their personal information is handled securely and in compliance with relevant privacy laws. Obtaining informed consent from drivers is crucial, and transparent communication about data collection, storage, and usage practices is necessary to build trust. Additionally, industry stakeholders must implement robust data protection and security measures to safeguard the collected data from unauthorized access or breaches. Compliance with data protection regulations, such as GDPR or CCPA, is essential to protect driver privacy.

 

https://incabin.com/blog/key-challenges-of-driver-impairment-with-caroline-chung-engineering-manager-at-magna/?utm_campaign=ICUSA24&utm_medium=email&_hsenc=p2ANqtz-8VIQAIg8lhL1C4F0BWIC0Y62Z6XiBCimSoRNN5wCW2l8wpbZuEaQerv170jPqT9xauhpkhBSkCmgqKYewZl2TUaVsppw&_hsmi=305128389&utm_content=305128389&utm_source=hs_email

The BMW X7 reigns supreme as the brand's largest and most luxurious SUV. It offers a compelling blend of power, comfort, and technology, making it a desirable choice for those seeking a top-tier driving experience. This comprehensive article dives deep into the X7, exploring its features, performance, design, and everyday usability.

Technology at Your Fingertips

The X7 is a technological marvel, brimming with features designed to enhance your driving experience and keep you connected. The large central touchscreen serves as the hub for the infotainment system, offering intuitive control over navigation, audio, and climate settings. The X7 also boasts a comprehensive suite of driver-assistance features, including automatic emergency braking, lane departure warning, and adaptive cruise control. The available Highway Assistant with Active Lane Change allows for brief periods of hands-free driving on designated highways, further reducing driver fatigue on long journeys.

https://www.carsoup.com/blog/2024/04/30/untitled-456/

BMW pours $2.8B into China plant for EV push

BMW announced on Friday it will invest 20 billion RMB ($2.8 billion) to expand a production facility in the northeastern Chinese city of Shenyang, as the German auto major aims to begin assembling its upcoming “Neue Klasse” electric vehicles locally in 2026. The amount, which brings BMW’s total investment in its largest manufacturing hub to 105 billion RMB ($16.154 billion), represents an acceleration of the company’s efforts to prepare for greater EV demand in China, where domestic manufacturers continue to capture market share from their global rivals. Construction of a 10 billion RMB ($1.538 billion) battery plant in Shenyang is also underway, which is set to begin operation with 2,000 new jobs in 2026. BMW reported a 138% YoY surge in sales to nearly 100,000 EVs in China last year, which accounted for nearly a third of its total EV sales worldwide.

Cheers DR777

Man look, should of gone to specsavers!!

So could start soon. This wasnt in current equation

Top 4 sales in Europe & we got 3 OEMs in top 4

VW

BMW

Mercedes

Volkswagen remained the best-selling car brand in Europe in March 2024 followed by Toyota and BMW. The top-selling car model and battery-electric vehicle in Europe in March 2024 was the Tesla Model Y. The Dacia Sandero, VW Golf, and the Tesla Model Y were the three most popular car models in Europe in the first quarter of 2024.

Despite weaker sales, Volkswagen remained the largest car brand in Europe by far in March 2024. BMW moved into second place with sales up 9%, a similar improvement as second-place Toyota. Mercedes-Benz sales were flat.

https://www.best-selling-cars.com/europe/2024-march-europe-car-sales-and-market-analysis/?utm_content=cmp-true

Modest

requirements and is scheduled to start production before the end of 2024 with an initial estimated incremental lifetime value of US$26m.

Calendar year or FY? Doesn’t say but either way will contribute to break even in FY 25

Interesting we mention USA Europe and China. Look back at Seye rns from dec 22 they say….

intended for the markets of North America, Europe and China.

https://www.smarteye.se/news/smart-eye-wins-800-msek-dms-deal-with-large-north-american-oem-up-to-53-design-wins/

Have they done another BMW & we have got 1/3rd of contract they won? If so could get the other 2/3rds back?

The plot thickens as always…

NEW YORK -- The U.S. government's auto safety agency is investigating whether last year's recall of Tesla's Autopilot driving system did enough to make sure drivers pay attention to the road.

The National Highway Traffic Safety Administration says in documents posted on its website Friday that Tesla has reported 20 more crashes involving Autopilot and since the recall. The crashes and agency tests raised concerns about the effectiveness of the remedy. The recall involved more than 2 million vehicles, nearly all the vehicles that Tesla had sold at the time.

The agency pushed the company to do the recall after a two-year investigation into Autopilot's driver monitoring system, which measures torque on the steering wheel from a driver's hands. In the probe, the agency was looking at multiple cases in which Teslas on Autopilot ran into emergency vehicles parked on freeways.

The recall fix involves an online software update to increase warnings to drivers. But the agency said in documents that it has found evidence of crashes after the fix, and that Tesla tried to address problems with additional software updates after the recall fix was sent out. The updates may not have worked.

"This investigation will consider why these updates were not part of the recall or otherwise determined to remedy a defect that poses an unreasonable safety risk," the agency wrote.

https://abc7news.com/us-probes-whether-tesla-autopilot-recall-did-enough-to-make-sure-drivers-pay-attention/14745823/

The NHTSA said in its report that Tesla's Autopilot and FSD was not designed to keep the driver engaged with the actual task of driving. In many cases they examined, the drivers of the Tesla vehicles in the recorded crashes leaned too heavily on the technology and lost focus on driving to the extent where critical evasive action was not able to be done in time to avoid a crash.

When reviewing the crash logs provided by Tesla, the agency found that the Tesla drivers involved failed to brake or steer out of the way of hazards, even though they had enough time to do so. In 59 of the crashes looked at by the agency, drivers had "five or more seconds" — enough time to react before hitting an oncoming object. However in 19 of the crashes, drivers had "10 or more seconds" to react to oncoming hazards in front of them.

“Crashes with no or late evasive action attempted by the driver were found across all Tesla hardware versions and crash circumstances,” NHTSA said.

https://www.thestreet.com/automotive/feds-are-skeptical-about-the-safety-of-popular-driver-assist-tech-

Way behind Tesla.......

In total, NHTSA investigated 956 crashes, starting in January 2018 and extending all the way until August 2023. Of those crashes, some of which involved other vehicles striking the Tesla vehicle, 29 people died. There were also 211 crashes in which “the frontal plane of the Tesla struck a vehicle or obstacle in its path.” These crashes, which were often the most severe, resulted in 14 deaths and 49 injuries

https://www.theverge.com/2024/4/26/24141361/tesla-autopilot-fsd-nhtsa-investigation-report-crash-death

Distracted driving at 55 mph for five seconds is the same as driving with your eyes closed the length of a football field. Let that sink in.

In honor of #DistractedDrivingAwarenessMonth, we took to our blog to discuss the importance of safer driving.

In today’s modern vehicles, driver safety is enhanced with Advanced Driver Assistance Systems (#ADAS) — including blind spot detection (BSD), automatic emergency braking (AEB), lane departure warnings (LDW), and more. These systems use a variety of built-in sensors to detect and respond to the surrounding environment.

To reduce the number of accidents, injuries and fatalities, regulators and vehicle original equipment manufacturers (OEMs) aim to bring uncrashable cars to market. To get there, the industry must address several technological and commercial challenges.

🚗📰 Read our latest blog to learn more: https://bit.ly/indieDDAM

Glandore

As always opens more questions than answers.

Do they use the new IQ camera and Guardian together?

If not used together with the wording in the new IQ could they be licensing the software. I wouldn’t think would use their own system and use all SEEs blurb.

If the new system client wants monitoring do they have to use Guardian? Or will the IQ allow monitoring aswell?

As always every can I open leaves me asking more questions.

All I know is the pic in the article is Guardian & they have worked together & they using SEE wording.

DETROIT (AP) — The U.S. government’s auto safety agency is investigating whether last year’s recall of Tesla’s Autopilot driving system did enough to make sure drivers pay attention to the road.

The National Highway Traffic Safety Administration says in documents posted on its website Friday that Tesla has reported 20 more crashes involving Autopilot and since the recall. The crashes and agency tests raised concerns about the effectiveness of the remedy. The recall involved more than 2 million vehicles, nearly all the vehicles that Tesla had sold at the time.

The agency pushed the company to do the recall after a two-year investigation into Autopilot’s driver monitoring system, which measures torque on the steering wheel from a driver’s hands. In the probe, the agency was looking at multiple cases in which Teslas on Autopilot ran into emergency vehicles parked on freeways.

The recall fix involves an online software update to increase warnings to drivers. But the agency said in documents that it has found evidence of crashes after the fix, and that Tesla tried to address problems with additional software updates after the recall fix was sent out. The updates may not have worked.

This investigation will consider why these updates were not part of the recall or otherwise determined to remedy a defect that poses an unreasonable safety risk,” the agency wrote.

A message was left early Friday seeking comment from Tesla.

NHTSA said that Tesla reported the 20 crashes in vehicles that had received the recall software fix. The agency has required Tesla and other automakers to report crashes involving partially and fully automated driving systems.

NHTSA said it will evaluate the recall, including the “prominence and scope” of Autopilot’s controls to address misuse, confusion and use in areas that the system is not designed to handle.

https://www.fox8live.com/2024/04/26/us-probes-whether-recall-tesla-autopilot-driving-system-did-enough-make-sure-drivers-attention/?outputType=amp

Looks like SEE. Uses the terminology & the pic looks like guardian unit?

HVIA member Teletrac Navman has added driver distraction, cell phone usage and drowsy driver detection to its AI-powered dashcam and video telematics solution, the IQ Camera.

Chief Product Officer Andrew Rossington says AI-powered video telematics solutions leverage advanced algorithms to monitor different aspects of driver behaviour.

“By seamlessly integrating driver positioning, facial and physiological measurements, alongside driver assistance metrics that analyse and detect outward-facing actions like following distance, lane adherence, and harsh manoeuvring, these devices provide real-time alerts and insights to reduce the likelihood of incidents and promote the well-being of drivers,” he says.

The IQ Camera’s video telematics capabilities can identify behaviour, such as mobile phone use, erratic head movements and gaze deviations, and help the driver maintain focus on the road.

For driver fatigue, continuous monitoring of physiological indicators, such as eye closure duration and head position, triggers timely alerts to combat drowsiness and fatigue-related collisions.

The system’s drowsy driving detection feature addresses the critical issue of driver fatigue by analysing eye closure duration to detect signs of drowsiness, providing timely alerts.

When considering distracted driving action, there are two primary types of behaviour to detect – ‘owl’ and ‘lizard’ motions.

‘Owl’ motions are where the driver is physically turning their head toward any direction – up, down, left, or right. If the difference in orientation is significant over a duration of time, a distraction alert is created.

‘Lizard’ distraction is when the driver’s gaze is pitched away from the road ahead without a change of pose to the head. This type of distraction is primarily detected based on the duration the eyes appear to be off the road ahead.

https://hvia.asn.au/teletrac-navman-enhances-ai-powered-dashcam-solution/