Member Info for schlemiel

this is all about the importance of valuable data and the costs associated with collecting and storing it...also about labelling

While we are able to collect a significant amount of raw data, not all data is created equal. For example, data of more dangerous driving conditions represents a relatively small amount of data, but it is critical to implementing an autonomous mobility scenario. The treatment of raw data by perception, sensor functions and control sections of the process relies heavily on AI. It takes the processing of vast amounts of raw and response data to effect a decision or action by an autonomous vehicle. Autonomous vehicles generate anywhere between 50-150 terabytes of data per day. Accordingly, an industrial grade solution is needed to store, prepare and use this data in the training of AI models.

The next challenge for data in autonomous vehicles will be data management. At current levels, transfers will be painfully slow, and storage costs will be through the roof. Mr. Khalighi noted that for a fleet of 100 Autonomous Vehicles at current levels, it would take one year to transfer a single day of data over 100-Mb speed and cost $20 million annually in storage. Data management requires a multiaudience system, including a perception team, controls team, sensor fusion annotations and a QA team.

Beyond data management, is the need for labelling and verification. Currently this is a labour- and cost-intensive process, and due to the nature of AI, it must be iterative. Mr. Khalighi has been working on these systems for clients of his company, Caliber Data Labs, and understands that, ultimately, data management should be provided on a hybrid system of on-premises and in-cloud infrastructure, with sharing capabilities between the two. As he points out, the data discovery process should provide rich query and review interfaces, and the labelling system must be integrated with third-party providers.

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Throughout his talk, Mr. Beiker emphasized the importance of connectivity and data. Many computers within automated vehicles are already providing data to other automated vehicles and this data sharing is set to grow. Currently, there is a huge and diverse need for data to program, teach and operate automated vehicles. As AI is somewhat by nature, geared towards a monopoly, it is clear that those with the most data will have a greater advantage in moving ahead and will in turn have more products on the road collecting data. The sifting and programming of data that is needed to teach AI is currently handled by individuals who painstakingly verify categorized data sets (e.g., a car vs a motorcycle vs a bike on a road). Industry will need an infrastructure ecosystem to handle the vast amount of data required. In particular, this infrastructure will need to offer a turnkey solution for safe and efficient processes as data grows. This solution will need to be as automated a process as possible. To advance on the global scale and throughout a diverse set of products, it will also need to incorporate standards to enable data exchange among parties, including for monitoring and compliance.

Looking to the future, Mr. Beiker identified the biggest challenge in moving towards greater automation: merging the current driving reality with automation. He predicts a staged approach. We are at the cusp, for example, of early deployment of automated shuttle vehicles. Next may be commercial vehicles for shipping and delivery. Following that, we may see infrastructure-based advancement, where certain lanes are blocked off for automated vehicles. It is likely we will see fully automated vehicles long before we are willing and able to deploy them on the road as a travel solution. Tellingly, Mr. Beiker explained that the growth of automation is not linear. While we have introduced park assist and other automated features, these advancements have been the easier, low-hanging fruit. Full implementation will take significantly longer as more difficult milestones are achieved. As the industry ecosystem expands, cooperation among stakeholders will be needed to achieve the greater common good across manufacturing, insurance, data engineering, and other areas.

Mr. Khalighi spoke next and opened, "teaching cars to drive is painful, the enabling software should be magical!" Mr. Khalighi spoke mainly about the data challenges for autonomous vehicles, first explaining that data from autonomous vehicles comes from sensing (in the form of cameras, lenses, linear and GPS) which provides raw data. This raw data moves through a process of perception (image processing, object detection, object tracking and point cloud processing) to create a target list of data for sensor fusion and control, providing signals when activity is actualized in steering, braking and actions taken by power train chassis.

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https://www.lexology.com/library/detail.aspx?g=3a9f1e33-d0f6-416e-a7da-f01b3f050b04

November 13 2019
McMillan hosted the first quarterly instalment of the speaking series, "Innovations in Mobility and Transportation." Caliber Data Labs and SAE International, the global association setting engineering standards for autonomous vehicles and other related industries, are behind this series. The goal is to share views and insights, and bring together individuals, representing various aspects of this evolving space. With stakeholders ranging from automobile manufacturers and regulators to software engineers, the objective is to create a brain trust supporting innovation and providing a forum for meaningful conversation.

The inaugural event was well attended. It featured a talk from Sven Beiker, founder and managing director of Silicon Valley Mobility and long-time mobility professional and consultant and Yaser Khalighi, founder and CEO of Caliber Data Labs.

Mr. Beiker, whose talk was entitled "How Automation and connectivity will drive the future of mobility and transportation," discussed the future of mobility. He identified four major trends that will lead the way: automated driving, connectivity (and the need to focus on standardization in communication protocols), electrification, and shared mobility. He also noted that any viable solution would need to combine all four of these trends. For example, autonomous vehicles powered by electricity will be used as part of shared fleets, in a more commoditized way than the current model of sales of personalized vehicles.

As part of his presentation, Mr. Beiker explained the six standardized levels of automated driving set out by SAE International. Many of today's vehicles already use some level of automated driving, for example, cruise control or park assist. As the levels increase, control shifts between the driver and AI. Many questions will arise with each step towards greater autonomy in driving systems. For example, when is monitoring or control taken over from the driver? What about a plan B? At what point and in what space of time would a human driver be able to shift over to regain control of the vehicle? Who is monitoring systems, and when are these systems activated -- on the highway, while parking only, or in what most understand to be the most challenging situation, city driving? To what extent will society accept standards of safety at a 90% safety rate offered by corporations versus that resulting from human error alone.

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https://faasafety.gov/SPANS/event_details.aspx?eid=95333&caller=/SPANS/events/EventList.aspx

Below you will find the details for this seminar or webinar.

Title: Eye Tracking - What Are We Looking At?

Topic:1 Hour HAI Rotor Safety Challenge Session

Date and Time:Tuesday, January 28, 2020, starting at 15:45 Pacific Standard Time

Speaker(s):Colin Gunn

Brief Description:

In the quest for greater automation, modern ****pits are presenting new operational challenges that traditional training methods are not adequately addressing. These challenges include: insufficient knowledge of automation behavior, mode confusion and loss of awareness, poor scanning techniques, and excessive confidence and trust in automation. In March 2019, Toll Helicopters and Seeing Machines commenced a trial of unique eye-tracking technology in the AW139 Full Flight Simulator. We will present the insights into pilot scanning techniques and situational awareness provided by this trial.

Select Number:EA2795333
Location of Seminar:Anaheim Convention Center
800 W Katella Ave

Anaheim, CA 92802

I don't see GM starting to work with another DMS provider when they've spent the last 4 years working with SEE....

2 v 1 (150k v 10K)

On my trades page all is well though i use a different provider to LSE

'properly decent'

I think they've got one eye on the possibility of a takeover which may explain why they've loaded up on options. Consolidation across this dynamic industry will be the name of the game and SEE is in possession of some properly blue-chip DMS contracts that other companies would be envious of.

The whole ADAS (especially driver and occupant monitoring and other associated in-cab tech) market is primed now that mandatory is on the horizon. That creates a whole new dynamic as automakers rush to secure this technology. It's a fluid market and SEE is right at the centre of it. I see it as a matter of time before SEE enjoys a re-rating and we have politicians to thank for that, which is something I take little pleasure from doing as I despise politicians but regulatory demands will change the market dynamic for SEE and for that we can all be thankful. Amen

I think Cenkos is short of stock. They reacted like this yesterday as well. Upping their offer (asking more) and upping their bid (willing to pay more)

Cenkos bid up and shifted offer to 4.90p

1* v 2

3 v 1

I wish they'd manipulate the price upwards!

Vehicle occupants, other road users and pedestrians are benefiting from the increasing amount of safety technology being built into vehicles as standard equipment.
Professor Mike Lenné, SVP of Fleet and Human Factors, spoke to Jon Knox of Automotive Industries about driver monitoring technology and its impact on road safety.

“As a leading provider of monitoring solutions, Seeing Machines is well positioned to define issues around driver state assessment concepts and the supporting technology. Seeing Machines has developed occupant state monitoring solutions for nearly 20 years, and we’re actively leveraging our deep experience with our customers and groups like Euro NCAP to better shape driver safety protocols.

“Our human factors-led (collaboration with customers and research partners) approach, combined with the data collected from our Guardian product, offers us a competitive advantage and drives the validation and development of our technology. We frequently join forces with industry and regulatory bodies to help shape proper protocols based on results from our numerous private and public partnerships and the mandatory installation of DMS in all new car models sold in Europe starting as soon as 2022.

“However, the industry is waiting to understand how they are going to meet requirements put forward by safety technology requirements. If camera-based monitoring is mandated by 2022, OEMs will need to make technology sourcing decisions in the next six to nine months in order to meet the regulatory timeframes and achieve the best possible safety ratings. Given that this is still a relatively new technology for the industry we are seeing OEMs expanding their supply network to incorporate specialist providers of this technology, like Seeing Machines, to provide robust solutions and meets the needs of consumers, regulators and legislative bodies.”

Read the full article here.

https://www.seeingmachines.com/blog/2019/11/14/technology-to-make-the-roads-safer/

https://www.riskmanagementmonitor.com/ntsbs-most-wanted-improvements-reflect-major-transportation-disasters-of-2018/

The National Transportation Safety Board (NTSB) unveiled its 2019-2020 Most Wanted List of Transportation Safety Improvements today. The 10-item list is associated with 267 open NTSB safety recommendations that mark critical changes needed in the next two years to reduce transportation accidents, injuries and fatalities, and longstanding safety issues that threaten businesses, professionals and the traveling public.

The list, which is now available online, was unveiled at the NTSB’s press conference in Washington, D.C.:

Eliminate Distractions.
End Alcohol and Other Drug Alcohol Impairment.
Ensure the Safe Shipment of Hazardous Materials
Fully Implement Positive Train Control (PTC)
Implement a comprehensive strategy to reduce speeding-related crashes
Improve the Safety of Part 135 Aircraft Flight Operations
Increase Implementation of Collision Avoidance Systems in All New Highway Vehicles
Reduce Fatigue-Related Accidents
Strengthen Occupant Protection
Require Medical Fitness – Screen for and Treat Obstructive Sleep Apnea

“We do not simply come up with these recommendations based on a whim,” NTSB chairman Robert Sumwalt said during his opening remarks. “It’s a data-driven approach based on the results of our investigation and the tragic and senseless deaths we investigate. The NTSB’s most wanted list is written in blood.”

Sumwalt said driving while distracted – from cars to trains – had risen to be one of the most prevalent transportation risks facing American roads, railways, businesses and the general population.

cont..

https://events.imeche.org/ViewEvent?e=6960

5 Dec
Driver and pilot alertness - Understanding human Performance and the contribution of automation -

Whilst increase automation is reducing reliance on humans this may, if not designed and managed appropriately, increase the risk of loss of attention. Driver/Pilot alertness is affected by many factors including the design of the task, work environment, rostering, fatigue, stimulation profile of the duty, distraction etc. This seminar will consider these issues, and what controls are currently available to mitigate the inherent risks and whether there are lessons to be learned between modes of transport or other operations.

Attend this event to:

Gain insight into new approaches and technologies that can be used to understand, control and prevent accidents across the transport industry
Stay up to date with the latest standards and regulation for ensuring driver and pilot alertness
Learn best practice in designing human-machine interfaces in autonomous vehicles from the automotive sector
Share ideas with your peers about how to best integrate human factors into the design process through our interactive panel and round tables
Network with human factors specialists, designers and engineers from the aerospace, railway and automotive industries

Seminar programme highlights:

Tram Operations Limited discuss what driver monitor data is telling us from studies following the Croydon tram derailment
The Swedish National Road and Transport Research Institute (VTI) evaluate human performance with a key focus on driver and pilot attention
Hear from the Rail Accident Investigation Branch (RAIB), Air Accident Investigation Branch (AAIB) and AECOM as they share challenges across transportation sectors
The University of Leeds and Institute for Transport Studies discuss the impact of automation and autonomous vehicle design
The Rail Safety and Standards Board (RSSB) share case studies and discuss railway’s safety track record

Key speakers include:

Honourable Robert L. Sumwalt, Chairman, National Transport Safety Board (NTSB)
Jackie Townsend, Managing Director, Tram Operations, Tram Operations Limited
David Davies, Executive Director, Parliamentary Advisory Council for Transport Safety (PACTS)
Ann Mills, Head of Health and Safety, Rail Safety and Standards Board (RSSB)
Simon French, Chief Inspector of Rail Accidents, Rail Accident Investigation Branch (RAIB)
cont..

excerpt -

'Under Chairman Sumwalt’s leadership, the agency’s ranking in the Best Places to Work in the Federal Government has advanced 33 percent to the agency’s current position of Number 6 of 29 small federal agencies. He is a fierce advocate for improving safety in all modes of transportation, including teen driver safety, impaired driving, distractions in transportation, and several aviation and rail safety initiatives.

Before joining the NTSB, Chairman Sumwalt was a pilot for 32 years, including 24 years with Piedmont Airlines and US Airways. He accumulated over 14,000 flight hours. During his tenure at US Airways, he worked on special assignment to the flight safety department and served on the airline’s Flight Operational Quality Assurance (FOQA) monitoring team.

Following his airline career, Chairman Sumwalt managed the corporate aviation department for a Fortune 500 energy company.

In other notable accomplishments, he chaired the Air Line Pilots Association’s Human Factors and Training Group and co-founded the association’s critical incident response program. He also spent eight years as a consultant to NASA’s Aviation Safety Reporting System (ASRS) and has written extensively on aviation safety matters. He has co-authored a book on aircraft accidents and has published more than 100 articles on transportation safety and aircraft accident investigation.'

http://www.pacts.org.uk/2019/11/the-2019-westminster-lecture-on-transport-safety/

Is this Petrohunter shifting stock?