SafetyNex

ADAS FOR ROAD SAFETY USING MAP

Sometimes, accurate detection both by human perception and by sensors are not enough for road safety.
Nexyad has worked on some use cases for which classical ADAS can’t help.
So we have developed SafetyNex that reads and analyses the digital map (HERE, TOMTOM, OSM, etc.)
in front of the vehicle (4-5 seconds ahead) as a bird view to anticipate singularities of the road.
Then SafetyNex allows to vocally alert drivers when they approach these singularities
(curves, intersections, pedestrian crossing, etc…) in order, for them, to reduce speed and to lower risk of accident.   Of course, it is possible to equip vehicles with Adaptative Cruise Control (ACC) to reduce speed automatically before these singularities.

As a reminder, road safety studies show that if speed is reduced of 1mph to the right moment, risk of accident is lowered of 4% to 6%.
With SafetyNex alerts, drivers have time (at least 4 seconds) to reduce speed far more than 1mph.

See 2 use cases below :

GATHERING COMPUTER VISION DETECTION
WITH PREDICTION AND RISK ASSESSMENT:
THIS IS WHAT WE DO !

Because most automotive engineers have no knowledge in Road Safety, they usually do not know that 75% of driving-risk come from a driving behaviour that is inadequate to infrastructure characteristics (geometry of curve, narrowness, pattern of intersection – angles, number of input and output lanes, functionality of infrastructure – pedestrian crossing, school zone, … -, road signs – traffic light, stop sign, …). So they focus on vehicle performance in passive safety (deformation of vehicle during a crash, safety belt, air bag, etc… and active safety, vehicle detection and reflexe : emergency braking (AEB).

NEXYAD do not build cars, but as software company, we worked for 20 years with road safety experts and road infrastructure experts on 8 major scientific programs to acquire this specific knowledge. This is why our minimum viable product for road safety can run onboard on a smartphone or any other device, and reduces accident rate by 25% with only a map, accelerometers, and GNSS.
This year we can add NEXYAD computer vision modules that bring other risk factors; ObstaNex which brings interdistance and presence of vulrenables, RoadNex which brings size of drivable surface, and VisiNex which detects lacks of visibility.

This brings a complete onboard road safety platform: under deployment for telematics (fleets and insurers), ADAS, and Autonomous Vehicle. Available for cars, motorcycles, buses, trucks, trams, and soon for bicycles and other vulnerable mobility systems.

It is time to join modernity, and integrate our best technology into your valuable solutions, available everywhere…

 

 

HAZARD, CRITICALITY, and RISK in ROAD SAFETY ?

Meanings of those words are very different and it is very important to distinguish them:

. HAZARD indicates presence of POTENTIAL DANGER: if behind a door there are toxic materials, you write “HAZARD” on the door. But if the operator who opens the door has the appropriate helmet, he/she can do so at no RISK.

. CRITICALITY indicates a measurable level of DANGER. During a road accident, CRITICALITY is measured by “time to collision”, “probability of interception of trajectories”, etc.

. RISK indicates the absence of caution: if you put a glass near the edge of the table, you take a RISK. In this case HAZARD is the edge of the table. If the glass falls, at every moment you can measure CRITICALITY of the situation. If you have good reflexes, you can catch the glass. This is what AEB does for vehicles (ADAS).
If you want to avoid breaking the glass without using reflexes, you put the glass away from the edge. In road safety, it’s the same, and NEXYAD has developed a real-time embedded software tool that measures “how far we are from the edge”.

Applications are: alert driver, or act automatically on the driving behavior of the vehicle (ACC, Autonomous Driving).

OTN and Nexyad join forces in a strategic partnership for active rail safety.

The companies OTN and Nexyad join forces in a strategic partnership for active rail safety.

Saint Germain en Laye, April 20, 2020 – The company OTN, which develops safety products in the rail sector among others, announces the signature of a partnership with the company Nexyad, specializing in on-board risk assessment of accident, with the aim of developing solutions for predicting and preventing collision risks.

This partnership will significantly improve the performance of current detection systems, by offering a risk detection horizon adapted to the speed of traffic on trams, metros and trains.

This technological contribution will allow rapid migration from simple “detection” to “prediction”, thereby improving the overall safety of users and the environment close to the traffic lanes.

The combination of the skills and experience of our two companies will allow us to quickly develop a high-performance analysis system (images, signals, data) to identify the risks of railway equipment in traffic. After six months spent evaluating the work necessary for the development and adaptation of the algorithms, initially intended for road safety, we are happy that this partnership results in the development of prototypes which we will be able to test in real situation in the short term.

 

OTN, a company based in Saône et Loire, France, manufactures, designs and markets electrical and electromechanical equipment intended for various advanced markets, including railway.

Nexyad, a company based near Paris, markets a global road safety platform for telematics, Advanced Driver Assistance Systems, and Autonomous Vehicles, currently adapted to railway focus.

 

 

 

 

Nexyad quoted in The Union Journal

“Smart car sensors can predict danger”

“A start-up based in Dubai and also Detroit is amongst those examining innovative modern technology options that can bring those numbers down.

Derq is creating systems to much better comprehend where danger places are. The firm makes use of a mix of sensors on roadways, expert system, and also computer systems in vehicles to inform vehicle drivers of possible risks. […]

Derq is not the only firm operating in this area. Humanising Autonomy has actually created a “pedestrian intent prediction platform” planned to make independent automobiles much safer;” Driveri is a system that examines business automobile chauffeurs’ to boost their efficiency, and also Nexyad produces software application that can be constructed right into vehicles to sharp vehicle drivers of possible crashes.”

Read entire article : https://theunionjournal.com/smart-car-sensors-can-predict-danger/

The Union Journal is an independent online financial news service. 

OLD TELEMATICS
Vs
NEW PROACTIVE TELEMATICS

Old telematics used to record driving behaviour data extracted from accelerometer: severe braking, cornering, etc.
At this old time, there were no other solution, but it was complex to use it :
. weak correlation between severe braking and accident were due to the fact that accident brings severe braking (and not the opposite)
. driver that doesn’t brake at all at STOP signs (700,000 accidents per year in the USA) were considered as “good drivers” (no severe braking).

Now there is a new technology, easy to integrate into telematics hardware (smartphone, telematics device, dashcam, etc.) that computes a real validated DRIVING-RISK, easy to use, and because it is computed in real time, it can trigger alerts for driver and then modify driving behaviour in due course, reducing accident rate by 20%. It is time to turn the page and contact us (we provide the technology, you can build a solution by integrating it into your system).

NEXYAD NEWSLETTER #29
IS NOW AVAILABLE

NEXYAD at CTS & CES 2020 in Las Vegas

 

Headlines :

– Nexyad CEO Editorial

– CTS 2020 (Consumer Telematics Show)

– CES 2020 (Consumer Electronics Show)

– Nexyad Quoted in a CNN Article

– Global Road Safety Platform by Nexyad

– Deep Learning Benchmark : Tensor Flow Vs Nexyad Internal Deep Learning Solution


Go to the Nexyad Newsletter # 29

NEXYAD at CTS & CES 2020 in Las Vegas

NEXYAD Automotive & Transportation Newsletter #29, March 24th, 2020

 

NEXYAD at CTS & CES 2020 in Las Vegas

 

Headlines :

– Nexyad CEO Editorial

– CTS 2020 (Consumer Telematics Show)

– CES 2020 (Consumer Electronics Show)

– Nexyad Quoted in a CNN Article

– Global Road Safety Platform by Nexyad

– Deep Learning Benchmark : Tensor Flow Vs Nexyad Internal Deep Learning Solution

 

 

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Nexyad CEO Editorial

                                                                                    

NEXYAD newsletter: our Global Road Safety Platform                                               

Hello,

In these difficult times of COVID19 epidemic, I would first like to wish everyone good health, for themselves and their loved ones. Our company NEXYAD continues its activity, with difficulty because organization of telework in a software development company is a complex security problem, but we achieve the planned deliveries. All our customers still can count on us.

Our company is about to open a new page of its development, with the achievement of our Glogal Road Safety Platform, presented in this newsletter, which allows our customers to develop their own mobility solutions.

Applications of this NEXYAD Global Road Safety Platform are mostly:

  1. Telematics: alerting driver when driving risk is too high avoids 20% of road accidents, which represents a very significant Return On Investment (ROI): 200€ per year per vehicle.
    . for fleets: Risk Management
    . for insurers: Usage Based Inssurance (UBI)

    2. Automotive:

    . we know how to calculate the speed of the vehicle and its acceleration, at all times, which guarantee to stay below an acceptable maximum level of risk. Those car speed and acceleration are the typical inputs of an Automatic Cruise Control (ACC) system;
    . we know how to inform the autonomous vehicle of the risk that it is taking, in real time, Thus allowing it, on the one hand can be used to modulate its behaviour by adapting to new and unknown situations, and on the other hand, to record situations where the risk has risen too high in order to add them to the deep learning databases. NEXYAD technology is a good lead to go from AD systems level 3 to level 5 without increasing the number of sensors and the computing power: human driver doesn’t have all those sensors and can drive safely in complex situations. We propose the same scheme based on anticipation.

Our technology is available for cars, trucks, and motorcycles. This technology is now starting its massive deployment in Europe, USA, Asia and India. We are proud of our customers’ products and solutions that integrate, among other things, our technology. 

We Save Lives

 

 

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CTS 2020

This year, for the first time, Nexyad has attented the Consumer Telematics Show January 6th in Planet Hollywood Resort & Casino, Las Vegas. 

We followed several interesting speeches and round tables during a full day conference with speakers from Roborace, ZF Group, Nissan North America, Veoneer, Ford Motor Company, Karma Automotive, Volvo Car Group, Avis Budget Group, Toyota North America, LexisNexis Risk Solutions, Audi, Amazon Web services, and many others.

Finnish companies were well represented on the booths corner :

Vaisala enhances safety, efficiency and decision making through environmental measurement and related services.

Tuxera creates quality-assured software to help to store and do more with data.

Forciot develops advanced IoT sensor solutions for  automotive, logistics and wearable technology sectors.

Flexound Augmented Audio™ adds the sensation of touch to audio-visual listening experience.

Unikie founded in 2015 is a company in software industry that provides  unmatched service and competence.

Vincit designs and engineer software, provides digital services, and products.

Note: the presence of car maker KARMA with a beautiful e-sport sedan (see below).

 

 

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CES 2020

View of Central Plaza at LVCC

For the third consecutive time, Nexyad took his quarter at Las Vegas Convention Center, Central Plaza into French Fab Pavillon just beside Faurecia and not far from Here Technologies and Google.

 

Inside this French Fab Pavillon, some SMEs of high technology received lots of visitors, prospects and customers. 

Actronika develop human-machine interface solutions using patented haptic technology.
Humans are born to touch in order to form relationships, to learn, and to be engaged with environment. Faced with an ever-digitizing world, this company made it as mission to re-engage people with tangible, material experiences.
Their hardware and software make that possible.

Since 2002, Benomad have been designing, developing and marketing mapping and navigation software tailored to helping companies manage their mobile resources as effectively as possible: Business and consumer navigation application; Mapping services with simple and low cost fleet management; Integration tools like mapping SDK and Navigation API, etc.

Eldim was born in 1992, its engineering teams has acquired a high knowledge in the optical analysis of angular properties of the light in transmissive and reflective mode. They develop and manufacture: Fourier optics viewing; angle systems; video photometers, colorimeters and temporal analysis systems; viewing NIR characterization sources and turn-key inspection systems.

Since 2012, Geoflex provides accuracy, continuity and integrity on radionavigation satellites measurements. Its partnership with CNES (French national center for space studies) allowed to industrialize and commercialize the PPP-CNES technology consisting to model and estimate in real time all the different errors affecting GNSS measurements, in order to add value in the fields of positioning and navigation, precise timing and meteorological forecast model.

Prove & Run was created with the idea that large-scale deployments of connected objects is an attractive target for remote cyberattacks and that the solutions used in the mobile industry are not sufficient to answer to the challenge. They provide cost-effective, highly secure, off-the-shelf TEEs and hypervisors that dramatically improve the level of security of connected systems.

SBG Systems designs, manufactures and market a complete line of inertial sensors based on the state-of-the-art MEMS technology such as Attitude and Heading Reference System (AHRS), Inertial Measurement Unit (IMU), Inertial Navigation Systems with embedded GPS (INS/GPS). They address, for more than 10 years, the most exciting markets.

Stemming from 15 years of know-how in connected, cooperative & autonomous mobility YoGoKo is an industry-leading communication solutions provider for the connected, cooperative & autonomous vehicles (CCAV) evolving in intelligent environments. For transport & mobility market players: autonomous vehicle manufacturers, legacy automotive OEM and Tier1, for intelligent mobility solutions developer and integrators.

Inside the big Automotive cluster MOV’EO, there is another cluster called Groupement ADAS obviously specialized in the field of Advanced Driver Assistance Systems and Autonomous Vehicles. 13 companies currently compose it, and this year Intempora and Nexyad were animators to explain synergie, skills, services and products providing by more than 200 engineers, doctors, professors and experts.

 

When a French SME wants to have a talk with French Secretary of State to the Minister of Economy and Finance, Ms. Agnès Pannier-Runacher, no better idea than travels 5400 miles going at CES in Nevada USA.

Agnès PANNIER-RUNACHER talked with NEXYAD CEO Gérard YAHIAOUI

 

Nexyad has met American company VSI Labs with the goal to work together soonly. They are specialized in vehicle demo on open road or test road for ADAS and Autonomous Vehicle technologies on the sidelines of congresses and shows. They mainly work in USA at the moment and they plan to organize sessions in Europe and Asia in near future. We plan to build a partnership with VSI Labs to show our global road safety platform to American market.

 

Next to the French Fab Pavillon, three big suppliers in Automotive have put their booth, Valeo, Here Technologies and Faurecia. These giants come to meet their customers and providers like Nexyad.

 

In North Hall, there are almost all the big car makers, the engineering companies, and Tear ones in luxurious spaces.

 

Some most impressive machines for next generation mobility:

 

Nexyad talked a lot with attendees, organisations and partners and many thought this year shows a little decline of shuttles and autonomous mobility exhibitors. For us, it could be the proof that market is becoming mature. At the same time, full autonomy technologies for road vehicles is postpone year after year. The safety asked by authorities and public fails yet to be demonstrate. We think this issue can be overcome if engineers worldwide considered driving risk as an explicit variable instead of an implicit one.

 

 

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Nexyad Quoted in a CNN Article

“Derq is not the only company working in this space. Humanising Autonomy has developed a “pedestrian intent prediction platform” intended to make autonomous vehicles safer;” Driveri is a platform that analyzes commercial vehicle drivers’ to improve their performance, and Nexyad creates software that can be built into cars to alert drivers of potential accidents.”

Click to read entire article

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Global Safety Platform by Nexyad

Here is the presentation of our global road safety platform: computing Driving risk taken by vehicle in its Driving context, 20 times per second allows to:

. act on human driver through risk alerts (accident rate reduction by 20% at least, validated by road safety experts and insurers).

. act on automated vehicle: Automatic Cruise Control desired speed and accels / Autonomous Driving system that is aware of the Driving risk it is currently taking: being servo-control to keep risk under a max accepted value, and triggering use case recording for next deep Learning versions.

 

 

 

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Deep Learning Benchmark : Tensor Flow Vs Nexyad Deep Learning Solution

Several times per year, we benchmark our internal Deep Learning solution (IP NEXYAD) (NxDev) vs Tensor Flow (Google) that is a very efficient Learning system. Results again this time (Feb2020) is that NxDev still beats Tensor Flow. Of course we are happy about it, and we still work (since 1995) on Learning efficiency improvement, But comparing 2 deep Learning systems is not that easy.

First : we select a database (the same for both) and a function. This time : classification.

Second : we choose a performance measurement. Many people use % of good classification, but we chose Khi-2 value.

Third : train with exactly the same number of neurons, layers … and on the same database.

Fourth : compare Khi-2 values.

We made iterations with a growing number of neurons to draw the Vapnik curves – check if a better performance couldn’t happen with Tensor Flow for a different architecture.

We also Added perturbations with mislabeled added Learning examples, and restarted the whole process.

If other teams already worked on Learning systems benchmarks (including Google team), we would be happy to share skills and improve comparison method.

 

 

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