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Study measures how fast humans react to road hazards

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Imagine you’re sitting in the driver’s seat of an autonomous car, cruising along a highway and staring down at your smartphone. Suddenly, the car detects a moose charging out of the woods and alerts you to take the wheel. Once you look back at the road, how much time will you need to safely avoid the collision?

MIT researchers have found an answer in a new study that shows humans need about 390 to 600 milliseconds to detect and react to road hazards, given only a single glance at the road — with younger drivers detecting hazards nearly twice as fast as older drivers. The findings could help developers of autonomous cars ensure they are allowing people enough time to safely take the controls and steer clear of unexpected hazards.

Previous studies have examined hazard response times while people kept their eyes on the road and actively searched for hazards in videos. In this new study, recently published in the Journal of Experimental Psychology: General, the researchers examined how quickly drivers can recognize a road hazard if they’ve just looked back at the road. That’s a more realistic scenario for the coming age of semiautonomous cars that require human intervention and may unexpectedly hand over control to human drivers when facing an imminent hazard.

“You’re looking away from the road, and when you look back, you have no idea what’s going on around you at first glance,” says lead author Benjamin Wolfe, a postdoc in the Computer Science and Artificial Intelligence Laboratory (CSAIL). “We wanted to know how long it takes you to say, ‘A moose is walking into the road over there, and if I don’t do something about it, I’m going to take a moose to the face.’”

For their study, the researchers built a unique dataset that includes YouTube dashcam videos of drivers responding to road hazards — such as objects falling off truck beds, moose running into the road, 18-wheelers toppling over, and sheets of ice flying off car roofs — and other videos without road hazards. Participants were shown split-second snippets of the videos, in between blank screens. In one test, they indicated if they detected hazards in the videos. In another test, they indicated if they would react by turning left or right to avoid a hazard.

The results indicate that younger drivers are quicker at both tasks: Older drivers (55 to 69 years old) required 403 milliseconds to detect hazards in videos, and 605 milliseconds to choose how they would avoid the hazard. Younger drivers (20 to 25 years old) only needed 220 milliseconds to detect and 388 milliseconds to choose.

Those age results are important, Wolfe says. When autonomous vehicles are ready to hit the road, they’ll most likely be expensive. “And who is more likely to buy expensive vehicles? Older drivers,” he says. “If you build an autonomous vehicle system around the presumed capabilities of reaction times of young drivers, that doesn’t reflect the time older drivers need. In that case, you’ve made a system that’s unsafe for older drivers.”

Joining Wolfe on the paper are: Bobbie Seppelt, Bruce Mehler, Bryan Reimer, of the MIT AgeLab, and Ruth Rosenholtz of the Department of Brain and Cognitive Sciences and CSAIL.

Playing “the worst video game ever”

In the study, 49 participants sat in front of a large screen that closely matched the visual angle and viewing distance for a driver, and watched 200 videos from the Road Hazard Stimuli dataset for each test. They were given a toy wheel, brake, and gas pedals to indicate their responses. “Think of it as the worst video game ever,” Wolfe says.

The dataset includes about 500 eight-second dashcam videos of a variety of road conditions and environments. About half of the videos contain events leading to collisions or near collisions. The other half try to closely match each of those driving conditions, but without any hazards. Each video is annotated at two critical points: the frame when a hazard becomes apparent, and the first frame of the driver’s response, such as braking or swerving.

Before each video, participants were shown a split-second white noise mask. When that mask disappeared, participants saw a snippet of a random video that did or did not contain an imminent hazard. After the video, another mask appeared. Directly following that, participants stepped on the brake if they saw a hazard or the gas if they didn’t. There was then another split-second pause on a black screen before the next mask popped up.

When participants started the experiment, the first video they saw was shown for 750 milliseconds. But the duration changed during each test, depending on the participants’ responses. If a participant responded incorrectly to one video, the next video’s duration would extend slightly. If they responded correctly, it would shorten. In the end, durations ranged from a single frame (33 milliseconds) up to one second. “If they got it wrong, we assumed they didn’t have enough information, so we made the next video longer. If they got it right, we assumed they could do with less information, so made it shorter,” Wolfe says.

The second task used the same setup to record how quickly participants could choose a response to a hazard. For that, the researchers used a subset of videos where they knew the response was to turn left or right. The video stops, and the mask appears on the first frame that the driver begins to react. Then, participants turned the wheel either left or right to indicate where they’d steer.

“It’s not enough to say, ‘I know something fell into road in my lane.’ You need to understand that there’s a shoulder to the right and a car in the next lane that I can’t accelerate into, because I’ll have a collision,” Wolfe says.

More time needed

The MIT study didn’t record how long it actually takes people to, say, physically look up from their phones or turn a wheel. Instead, it showed people need up to 600 milliseconds to just detect and react to a hazard, while having no context about the environment.

Wolfe thinks that’s concerning for autonomous vehicles, since they may not give humans adequate time to respond, especially under panic conditions. Other studies, for instance, have found that it takes people who are driving normally, with their eyes on the road, about 1.5 seconds to physically avoid road hazards, starting from initial detection.

Driverless cars will already require a couple hundred milliseconds to alert a driver to a hazard, Wolfe says. “That already bites into the 1.5 seconds,” he says. “If you look up from your phone, it may take an additional few hundred milliseconds to move your eyes and head. That doesn’t even get into time it’ll take to reassert control and brake or steer. Then, it starts to get really worrying.”

Next, the researchers are studying how well peripheral vision helps in detecting hazards. Participants will be asked to stare at a blank part of the screen — indicating where a smartphone may be mounted on a windshield — and similarly pump the brakes when they notice a road hazard.

The work is sponsored, in part, by the Toyota Research Institute.  


Topics: Research, Computer science and technology, Autonomous vehicles, Automobiles, Transportation, Industry, Behavior, Technology and society, AgeLab, Computer Science and Artificial Intelligence Laboratory (CSAIL), Brain and cognitive sciences, School of Science, School of Engineering

Source: http://news.mit.edu/2019/how-fast-humans-react-car-hazards-0807

Artificial Intelligence

The four biggest challenges facing the payments industry right now

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We all know that 2020 was an unusual and challenging year for everyone and as much as we would have all wished that things could have gone back to normal the second the clock struck midnight on the 31 December, that has unfortunately not been the case. Most industries and businesses continue to face a number of challenges, some carried over from last year and others new to 2021. The payments industry is no exception to this. In difficult times it is even more important to understand our key challenges, so we are able to manage and overcome them.

To support that end, from my own experiences through 2020 and in 2021 so far, I have outlined the four biggest challenges I see for the payments industry and my thoughts on how to approach them.

Uncertainty

The biggest challenge facing payment providers this year is the continuing and over-riding state of uncertainty in the short term, but also for the medium to longer term. This isn’t limited to fintech and payments either, the past 12 months have been difficult for businesses in most sectors. This especially causes a problem for businesses as to how they manage the immediate and short-term challenges they are facing, while at the same time retaining focus on their medium- and longer-term planning and strategy.

Making decisions that protect the business in the short term and to adapt to the current situation can often be at odds with longer term goals. Increased uncertainty around for example, changes in customer behaviour and preferences, rules and regulations, and the economic outlook, adds a further layer of complexity for payments businesses in making strategic decisions.

Moreover, it would seem the current state of uncertainty may persist for some time. This combined with us being to a greater extent in ‘unchartered waters’ makes it even harder to forecast the future. With the struggles that COVID-19 has brought upon us, customer shopping behaviour has been forced to change and organisations have had to work hard to keep up with changing demands and requirements.

This has led to many businesses having to completely rethink their plans for the year and change much of their existing business model, which in turn has a knock-on effect to their business partners such as payment providers. Uncertainty as to whether the shift in customer preferences reflects a permanent change, or whether they will revert back to ‘normal’, once the pandemic is over, adds further difficulty in maintaining a balance between pursuing short-term initiatives and long-term initiatives – and deciding which of those to pursue. The past is not a reliable indicator of the future is probably now an even truer statement than ever. 

Uncertainty does however bring opportunity, and it is often challenges and uncertainty which drive forward leaps in innovation too. Businesses need to remain proactive in these times by staying up to date with industry developments, emerging customer trends and having a close eye on any new opportunities that may arise.

A business that manages to remain focused on its medium- and longer-term goals as well as its short-term challenges and which can remain nimble and flexible in its responses to the current uncertainty, has the best chances to be able to spot and take advantage of opportunities quickly. To do this, businesses need to keep their operations constantly under review and make changes decisively to adapt to the current climate as they push forward with their plans and development.

Regulation

Regulations are also likely to see a further overhaul in 2021. Following on from the ongoing legacy of the Wirecard scandal, regulators worldwide will certainly want to avoid any similar high profile and catastrophic collapses happening within the payments industry again. As a result, regulators are likely to introduce tougher and stricter regulations to keep customer funds safe and to protect the wider financial system.

Most of us would recognise that regulations are a good and necessary thing for the industry but changes in regulation can often present a challenge from a business perspective. This challenge can present itself through assessing the new requirements, through to deploying them and the potential additional time and resources required to ensuring ongoing compliance is achieved and maintained.

Key to successfully ensuring compliance with current regulatory requirements and making changes to meet changes in regulation, is to ensure the requirements are fully understood by the business. Where there is any doubt, it is always worthwhile seeking external advice which can help the business make the required changes and ensure compliance more quickly and can often be more cost effective in the long run.

It is also worthwhile receiving the regular update bulletins from regulators, which can help the business anticipate when new regulations will be announced and can help in understanding the updated requirements and what is required for the business to remain compliant.

Overall, there is a need for business to maintain investment in its compliance function to ensure this is fit-for-purpose and is effective in ensuring ongoing compliance with all current and emerging regulatory requirements. 

Fraud

Fraud remains a key challenge facing the payment industry, as well as an issue which can have a significant impact on both businesses more broadly and end consumers. Financial crime has seen an increasing trend in recent years and is one that is constantly evolving as criminals continue to get more sophisticated and more inventive with their approaches. In parallel new fraud prevention and detection methods and techniques have been developed and deployed. But this is a constantly changing game, with criminals adopting new strategies and the payment industry and other financial institutions deploying increasingly sophisticated techniques to stop them.

COVID-19 has created some degree of additional risk of fraud, thanks to an increase in online shopping including shoppers who have never previously shopped online in the past and are perhaps less familiar will some of the more obvious signs to be wary of. Criminals are all too aware of this and are happy to use this situation to their advantage.

Unfortunately, there is currently no way to full eradicate the risk of fraud. Payment providers continue to develop more sophisticated fraud prevention and detection tools to reduce the incidence. AI and other automated tools offer increasing levels of fraud detection – but at the same time criminals are also using new and more sophisticated techniques to try to avoid detection.

The best way to win in the battle against cybercrime and fraud is to ensure that all businesses have robust and effective controls in place, whether these are around access to data, protection of physical assets such as laptops, or measures to prevent unauthorised access to the business’s IT network and system. This is particularly important for any business that holds customer personal data or payment card information, where the business must ensure this data is fully protected to remain compliant with regulations and to avoid the risk of a costly and reputationally damaging breach.

Brexit

The fourth challenge for the payments industry, and for services industries more broadly, has been Brexit. This has been a cause of uncertainty since the outcome of the vote in 2016, not just for businesses operating in, or trading with, the UK but for the country in general. A big fear for many working in the financial services industry was a no deal Brexit along with a loss of access to the European Economic Area (EEA) “passport” for financial institutions based and regulated in the UK.

While the agreement of a trade deal is in my view a better outcome than a ‘no deal’ Brexit, it is disappointing that this did not extend to providing any real certainty for the financial services industry, other than a loss of ‘passporting rights’ and only a verbal agreement at the time the deal was announced that the EU and UK government would continue discussions in 2021 around some form of ‘Equivalence’.

The current situation therefore creates ongoing additional complexity, cost and operational effort for many financial services firms – in addition to the huge industry cost and effort of preparing for the risk of a loss of passporting rights over the past 4 years. While the UK has extended ongoing rights to EU-based firms to operate in the UK, these rights have not so far been extended by the EU to UK-based firms.

Financial services companies along with industry bodies continue to lobby for UK firms who are FCA regulated to be able to operate EEA markets, as they did previously. Currently though, it is unclear if, or when, the EU might extend these additional rights to UK-based firms. In the meantime, UK-regulated businesses have had to adopt alternative ways to work with their European partners and customers.

Clearly there is a hope that there would be movement going forward to allow UK-based and regulated firms to operate in the EU, and we are beginning to see steps towards this with the technology visa that was mentioned in the UK spring budget, but this will most definitely be a situation where we will need to wait and see.

Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://www.fintechnews.org/the-four-biggest-challenges-facing-the-payments-industry-right-now/

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Artificial Intelligence

The four biggest challenges facing the payments industry right now

Avatar

Published

on

We all know that 2020 was an unusual and challenging year for everyone and as much as we would have all wished that things could have gone back to normal the second the clock struck midnight on the 31 December, that has unfortunately not been the case. Most industries and businesses continue to face a number of challenges, some carried over from last year and others new to 2021. The payments industry is no exception to this. In difficult times it is even more important to understand our key challenges, so we are able to manage and overcome them.

To support that end, from my own experiences through 2020 and in 2021 so far, I have outlined the four biggest challenges I see for the payments industry and my thoughts on how to approach them.

Uncertainty

The biggest challenge facing payment providers this year is the continuing and over-riding state of uncertainty in the short term, but also for the medium to longer term. This isn’t limited to fintech and payments either, the past 12 months have been difficult for businesses in most sectors. This especially causes a problem for businesses as to how they manage the immediate and short-term challenges they are facing, while at the same time retaining focus on their medium- and longer-term planning and strategy.

Making decisions that protect the business in the short term and to adapt to the current situation can often be at odds with longer term goals. Increased uncertainty around for example, changes in customer behaviour and preferences, rules and regulations, and the economic outlook, adds a further layer of complexity for payments businesses in making strategic decisions.

Moreover, it would seem the current state of uncertainty may persist for some time. This combined with us being to a greater extent in ‘unchartered waters’ makes it even harder to forecast the future. With the struggles that COVID-19 has brought upon us, customer shopping behaviour has been forced to change and organisations have had to work hard to keep up with changing demands and requirements.

This has led to many businesses having to completely rethink their plans for the year and change much of their existing business model, which in turn has a knock-on effect to their business partners such as payment providers. Uncertainty as to whether the shift in customer preferences reflects a permanent change, or whether they will revert back to ‘normal’, once the pandemic is over, adds further difficulty in maintaining a balance between pursuing short-term initiatives and long-term initiatives – and deciding which of those to pursue. The past is not a reliable indicator of the future is probably now an even truer statement than ever. 

Uncertainty does however bring opportunity, and it is often challenges and uncertainty which drive forward leaps in innovation too. Businesses need to remain proactive in these times by staying up to date with industry developments, emerging customer trends and having a close eye on any new opportunities that may arise.

A business that manages to remain focused on its medium- and longer-term goals as well as its short-term challenges and which can remain nimble and flexible in its responses to the current uncertainty, has the best chances to be able to spot and take advantage of opportunities quickly. To do this, businesses need to keep their operations constantly under review and make changes decisively to adapt to the current climate as they push forward with their plans and development.

Regulation

Regulations are also likely to see a further overhaul in 2021. Following on from the ongoing legacy of the Wirecard scandal, regulators worldwide will certainly want to avoid any similar high profile and catastrophic collapses happening within the payments industry again. As a result, regulators are likely to introduce tougher and stricter regulations to keep customer funds safe and to protect the wider financial system.

Most of us would recognise that regulations are a good and necessary thing for the industry but changes in regulation can often present a challenge from a business perspective. This challenge can present itself through assessing the new requirements, through to deploying them and the potential additional time and resources required to ensuring ongoing compliance is achieved and maintained.

Key to successfully ensuring compliance with current regulatory requirements and making changes to meet changes in regulation, is to ensure the requirements are fully understood by the business. Where there is any doubt, it is always worthwhile seeking external advice which can help the business make the required changes and ensure compliance more quickly and can often be more cost effective in the long run.

It is also worthwhile receiving the regular update bulletins from regulators, which can help the business anticipate when new regulations will be announced and can help in understanding the updated requirements and what is required for the business to remain compliant.

Overall, there is a need for business to maintain investment in its compliance function to ensure this is fit-for-purpose and is effective in ensuring ongoing compliance with all current and emerging regulatory requirements. 

Fraud

Fraud remains a key challenge facing the payment industry, as well as an issue which can have a significant impact on both businesses more broadly and end consumers. Financial crime has seen an increasing trend in recent years and is one that is constantly evolving as criminals continue to get more sophisticated and more inventive with their approaches. In parallel new fraud prevention and detection methods and techniques have been developed and deployed. But this is a constantly changing game, with criminals adopting new strategies and the payment industry and other financial institutions deploying increasingly sophisticated techniques to stop them.

COVID-19 has created some degree of additional risk of fraud, thanks to an increase in online shopping including shoppers who have never previously shopped online in the past and are perhaps less familiar will some of the more obvious signs to be wary of. Criminals are all too aware of this and are happy to use this situation to their advantage.

Unfortunately, there is currently no way to full eradicate the risk of fraud. Payment providers continue to develop more sophisticated fraud prevention and detection tools to reduce the incidence. AI and other automated tools offer increasing levels of fraud detection – but at the same time criminals are also using new and more sophisticated techniques to try to avoid detection.

The best way to win in the battle against cybercrime and fraud is to ensure that all businesses have robust and effective controls in place, whether these are around access to data, protection of physical assets such as laptops, or measures to prevent unauthorised access to the business’s IT network and system. This is particularly important for any business that holds customer personal data or payment card information, where the business must ensure this data is fully protected to remain compliant with regulations and to avoid the risk of a costly and reputationally damaging breach.

Brexit

The fourth challenge for the payments industry, and for services industries more broadly, has been Brexit. This has been a cause of uncertainty since the outcome of the vote in 2016, not just for businesses operating in, or trading with, the UK but for the country in general. A big fear for many working in the financial services industry was a no deal Brexit along with a loss of access to the European Economic Area (EEA) “passport” for financial institutions based and regulated in the UK.

While the agreement of a trade deal is in my view a better outcome than a ‘no deal’ Brexit, it is disappointing that this did not extend to providing any real certainty for the financial services industry, other than a loss of ‘passporting rights’ and only a verbal agreement at the time the deal was announced that the EU and UK government would continue discussions in 2021 around some form of ‘Equivalence’.

The current situation therefore creates ongoing additional complexity, cost and operational effort for many financial services firms – in addition to the huge industry cost and effort of preparing for the risk of a loss of passporting rights over the past 4 years. While the UK has extended ongoing rights to EU-based firms to operate in the UK, these rights have not so far been extended by the EU to UK-based firms.

Financial services companies along with industry bodies continue to lobby for UK firms who are FCA regulated to be able to operate EEA markets, as they did previously. Currently though, it is unclear if, or when, the EU might extend these additional rights to UK-based firms. In the meantime, UK-regulated businesses have had to adopt alternative ways to work with their European partners and customers.

Clearly there is a hope that there would be movement going forward to allow UK-based and regulated firms to operate in the EU, and we are beginning to see steps towards this with the technology visa that was mentioned in the UK spring budget, but this will most definitely be a situation where we will need to wait and see.

Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://www.fintechnews.org/the-four-biggest-challenges-facing-the-payments-industry-right-now/

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Machine Learning enabled Insig AI, which Serves Asset Managers, Lists on AIM London Stock Exchange

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Insig AI, an AI and machine learning firm serving the asset management sector, has officially introduced its services (May 10, 2021), after the company’s listing on the AIM London Stock Exchange.

Insig AI is a data science and machine learning (ML) solutions provider that offers various web-based apps, sophisticated analytical software, and advanced tech infrastructure so that machine learning algorithms become more accessible to investors.

The Insig AI product suite has been developed to streamline a fund manager’s data infrastructure and enhance their ML capabilities in order to provide actionable and measurable results.

Insig AI has created a range of “out of the box” products that enable investors by allowing them to interact with, and experience their data in a manner they’ve never done before.

The products include:

  • Insig Portfolio – a multi-asset data-science and ML platform developed to improve investment strategies and enable portfolio interrogation and performance attribution while offering actionable and explainable results.
  • Insig ESG – A special tool for creating and running a data-driven ESG investing strategy; offering credible, transparent and evidence-based scoring based on standard or bespoke methodologies.
  • Insig Data – A data transformation tool for cleaning, structuring and categorizing proprietary and third-party data to allow for ML and various other data analytics via Insig or customer apps.
  • Insig Docs – A microservice app that “intelligently” extracts, tags and stores document-based and unstructured data using text extraction and elastic database tech.
  • Insig Exceleton – A tool that converts complex Excel spreadsheets into Python code, thus supporting a fast transition to a modern, ML and data analytics-powered strategy.

The Admission Highlights are as follows:

  • Managed to acquire £6.1 million (before accounting for expenses) through a “placing of 9,172,375 new ordinary shares at 67 pence per share, a 14 percent. premium to the closing share price of the Company of 59 pence per share on 2 September 2020, being the last business day before the Company’s ordinary shares were suspended from trading.”
  • Customer results reportedly show how beneficial or useful Insig AI’s products and services are. One customer’s fund managed to outperform the MSCI World benchmark by as much as 30 percentage points, meanwhile, another has reported a 25% reduction in operational costs.

Previously doing business as Insight Capital, Insig AI’s tech stack has been developed by a multi-disciplined and diverse group of data scientists, consultants, and fund managers.

The firm is being led by Executive Chairperson Matthew Farnum-Schneider, and CEO Steven Cracknell.

Insight Capital was established by Steve Cracknell and CTO Warren Pearson. They previously worked at Goldman Sachs during the 2000’s and then also in 2013 when they led an ML firm in Silicon Valley.

After coming back to London in 2017, they launched Insight to implement various products for fund managers.

Steve Cracknell, CEO at Insig AI Plc, remarked:

“Insig AI will allow investment professionals to keep up with the benefits of modern technology and turbocharge their data science and machine learning capabilities. A core feature of our products is that they are not ‘black boxes’. All outputs are both explainable and transparent – allowing portfolio managers to dig down into the results and methodologies at every step. This approach enables clients to confidently transition to a data-centric business model, advance and scale their analytical potential and gain value, speed and strategic leverage. As we grow and launch future AI and machine learning products, we will continue to give asset managers the edge needed to beat markets and competitors.”

Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://www.crowdfundinsider.com/2021/05/175157-machine-learning-enabled-insig-ai-which-serves-asset-managers-lists-on-aim-london-stock-exchange/

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Lidar startup Innovusion closes $64M round led by Temasek

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More investors are joining the wave to bet on lidar, the remote sensing method that uses laser light to measure distances and has garnered ample interest from automakers in recent times. But it’s also a technology that has long been scorned by Elon Musk partly due to its once exorbitant costs.

Innovusion, a five-year-old lidar company and a supplier to Chinese electric car upstart Nio, just landed a Series B funding round of $64 million. The new proceeds boost its total investment to over $100 million, not a small amount but the startup is in a race crowded with much bigger players that have raised hundreds of millions of dollars, like Velodyne and Luminar.

Temasek, the Singaporean government’s sovereign wealth fund, led Innovusion’s latest financing round. Other investors included Bertelsmann Asia Investment Fund, Joy Capital, Nio Capital, Eight Roads Ventures, and F-Prime Capital.

Innovusion runs core development teams out of Sunnyvale, California and Suzhou, an eastern Chinese city near Shanghai that the robotaxi unicorn Momenta also calls home.

Junwei Bao, Innovusion’s co-founder and CEO, is not deterred by the industry’s existing giants. Back at Baidu where Bao oversaw sensors and onboarded computing systems for autonomous driving, he also worked on the Chinese search engine leader’s investment in Velodyne.

“They were designing things more like a college student designing in their labs,” Bao said of Velodyne.

Lidar was a niche market up until about five years ago, the founder explained, for the technology was mostly used by a small community of amateurs and areas such as military, surveying and mapping. These were relatively small markets in terms of shipping volume and Velodyne filled the demand.

“They were not thinking about industrialization, volume manufacturing, or roadmap extensibility. They were a pioneer and we [Baidu] recognized their value… but we also knew their weakness.”

In fairness, Silicon Valley-based Velodyne today is a $2.2 billion company supplying to some of the world’s largest automakers, including Toyota and Volkswagen. It also pocketed a hefty sum of cash after going public via a SPAC merger last year. Innovusion’s strategy is to make sensors for automakers that are “good enough for the next five years,” according to Bao. The startup chooses “mature components” so it can quickly ramp up production to 100,000 units a year.

Its biggest customer at the moment is Nio, a Chinese challenger to Tesla which has backed Innovusion through its corporate venture fund Nio Capital. For mass production of its auto-grade lidar, Innovusion is partnering with Joynext, a smart vehicle arm of the Chinese auto component supplier, Joyson Electronics.

For now, China is the largest market for Innovusion. The startup is scheduled to ship a few thousand units this year, mainly for smart transportation and industrial use. Next year, it has a target to deliver several tens of thousands of units to Nio’s luxury sedan, ET7, which is said to have a scanning range of up to 500 meters, an ambitious number, and a standard 120-degree field of view.

Similar alliances between carmakers and lidar suppliers have played out in China as the former race to fulfill their “autonomous driving” promises with the aid of lidar. Xpeng, a competitor to Nio, recently rolled out a sedan powered by Livox, a lidar maker affiliated with DJI that markets its consumer-grade affordability.

Price is similarly important to Innovusion, which sells lidars to automakers for about $1,000 apiece at the volume of 100,000 per year.

“Adding a $1,000 upfront cost plus another couple thousand dollars for a car that’s selling for $30,000 or $50,000 is affordable,” Bao suggested.

With the fresh capital, Innovusion plans to increase the production volume of its auto-grade lidar and put more R&D efforts into smart cities and vehicles. The company has over 100 employees and plans to expand its headcount to over 200 this year.

Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://techcrunch.com/2021/05/10/innovusion-64-millions-series-b/

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