NEXYAD SA

𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝗡𝗲𝘅𝘆𝗮𝗱 𝗡𝗲𝘄 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗡𝘅𝗡𝗲𝘂𝗿𝗮𝗹 - Data Mining for Marketing - 30 years of Experience in Applied Mathematics (neural networks, data analysis, etc.) - 30 years of Projects: Defense, Road Safety, Automotive Marketing. - A team that teach at Engineers Schools NxNeural by Nexyad is a new AI Tool integrated into Excel in the form of a menu, ready for use. Nx Neural uses all the power of Excel for data management and its graphics for display. Data Scientists can easily analyse Data on Excel without coding with Python or C++, for Data Manipulation function and neural processing function. https://lnkd.in/eJ2-9TXd #ArtificialIntelligence #AI #Excel #DataManagement #DataManipulation #NxNeural #Nexyad

𝗙𝗥𝗔𝗡𝗞 𝗘. 𝗕𝗜𝗥𝗗 𝗥𝗜𝗦𝗞 𝗣𝗬𝗥𝗔𝗠𝗜𝗗 𝗔𝗣𝗣𝗟𝗜𝗘𝗗 𝗧𝗢 𝗥𝗢𝗔𝗗 𝗔𝗖𝗖𝗜𝗗𝗘𝗡𝗧𝗦 In 1969, Frank E. Bird conducted a study for the Insurance Company of North America, covering 1,753,498 accidents reported by 297 companies in 21 different industrial groups, representing 1,750,000 people and 3,000,000 hours worked. See Frank E. Bird Pyramid in image Below The pyramid representation expresses the fact that the most serious accidents are the rarest and that, conversely, the abnormal but benign situations are the most frequent. This representation is symbolic, as the width of a level is not proportional to the frequency (unlike a diagram), the pyramid merely shows a ranking. However, it also expresses the fact that the difference between a harmless and a serious situation is often only due to LUCK: if an accident is narrowly avoided, it has no consequences, but the difference between harmful or even serious consequences is very tiny. The ratio of one level to the other of the pyramid gives an estimate of this luck factor, while the size of the base of the pyramid gives an estimate of the determination factor. During its road safety research work (12 funded collaborative scientific programs), NEXYAD (We Save Lives) applied this study to road risk. Indeed, road accidents are ultimately rare in relation to the overall mileage and very difficult to analyze. On the other hand, experts and the road police analyze the footage from surveillance cameras installed here and there on the road infrastructure, which report abnormal or critical situations that are - MUCH MORE NUMEROUS - but do not lead to accidents. These near-accidents are almost always the result of a LACK OF ANTICIPATION AND PRUDENCE on the part of one or even several drivers in relation to a particular context. Being without consequences, they do not appear anywhere in public body and insurance statistics. More seriously, in the absence of consequences, drivers at fault may not be aware of the risks they have taken. In this context, NEXYAD (We Save Lives) has developed SafetyNex a metric of driving prudence that detects both accident conditions and the usual lack of prudence where we are lucky... but luck can turn, and the more reckless we drive, the more we statistically increase the bad luck of having an accident. SafetyNex is an AI based on the knowledge of road safety experts to measure prudent driving and detect risky behaviors. This tool is available for fleets, insurers and driving schools in a BYOD version, we are applying this with the Indian company Motiv AI, which has developed a smartphone app based on our technology and is deploying it in India. For production vehicles, it is first a question of measuring their performance in terms of caution in autonomous or automated mode, and then simplifying the driving models. We have signed a partnership agreement with the company Stellantis on this subject. www.nexyad.com #Nexyad #SafetyNex #AI #BYOD #DriverMonitoring

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𝗦𝗮𝗳𝗲𝘁𝘆𝗡𝗲𝘅 by NEXYAD (We Save Lives) is an ADAS tool that measures prudent driving on a scale of 0 to 100 (100 = maximum prudence, when 0 = maximum risk). This is compliance with the road traffic code and the practices of experienced drivers. Trivial examples: we do not brush against pedestrians walking on the side of the road, we slow down before an intersection, we do not run stop signs, we adapt our inter-distance with vehicle ahead, etc. This compliance with the rules is reflected in the 𝗔𝗻𝘁𝗶𝗰𝗶𝗽𝗮𝘁𝗶𝗼𝗻 of complex situations and a speed adapted to each context. Since zero risk (or lack of prudence) does not exist, it is up to the driver or the 𝗗𝗿𝗶𝘃𝗶𝗻𝗴 𝗥𝗼𝗯𝗼𝘁 to minimize their own risks as much as possible and to anticipate possible lack of prudence by other users. For automated/robotic driving systems, such as 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗔𝗖𝗖, and L3, L4, 𝗦𝗮𝗳𝗲𝘁𝘆𝗡𝗲𝘅 is set to a given prudence threshold based on the information available at any time. If the vehicle is omniscient because it is equipped with many perception organs and the road infrastructure also sends it information that is undetectable by itself, then with full knowledge of the facts the prudence threshold can be lowered. On the other hand, if the information on the road context is incomplete (for example, perception does not cover all angles around the vehicle) then the prudence threshold must be raised so that the 𝘀𝗽𝗲𝗲𝗱 𝗶𝘀 𝗿𝗲𝗱𝘂𝗰𝗲𝗱 𝗮 𝗽𝗿𝗶𝗼𝗿𝗶 in situations of contextual uncertainty. Let us recall the definition of prudence: taking into account in one's behavior that one cannot predict or know everything, and that one cannot predict all the consequences of one's actions. Concrete example: see image below. 𝗦𝗮𝗳𝗲𝘁𝘆𝗡𝗲𝘅 𝗶𝘀 𝗮𝗻 𝗔𝗜, 𝗯𝗮𝘀𝗲𝗱 𝗼𝗻 𝗵𝘂𝗺𝗮𝗻 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲, resulting from 15 years of R&D and 12 funded collaborative scientific programs with road safety experts, road police, professional drivers and car insurers. https://lnkd.in/ekAxZUbD www.nexyad.com #Nexyad #SafetyNex #ADAS #AutomatedDriving #AutonomousDriving #RoadSafety #AI #ArtificialIntelligence #PredictiveACC #Level3 #Level4 #DrivingPrudenceMeasurement

𝗔 𝗨𝗻𝗶𝗾𝘂𝗲 𝗮𝗻𝗱 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗙𝗹𝗲𝗲𝘁𝘀 𝗮𝗻𝗱 𝗖𝗮𝗿 𝗜𝗻𝘀𝘂𝗿𝗮𝗻𝗰𝗲 It is striking that professional fleets and car insurers rely on 𝗶𝗻𝗱𝗶𝗿𝗲𝗰𝘁 𝗶𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿𝘀 of harsh driving to monitor their drivers and assess their driving. These indicators are poorly correlated with accidents and 𝗻𝗲𝗮𝗿-𝗺𝗶𝘀𝘀𝗲𝘀. Why talk about near misses? Because they are much more numerous than accidents (easier to analyze) and meet all the conditions of an accident - except one. For example, if one accelerates at the intersection of a priority road, he/she has a dangerous driving, but accident happens only if a vehicle crosses at the same time. If there is no vehicle, 𝗱𝗿𝗶𝘃𝗶𝗻𝗴 𝗿𝗲𝗺𝗮𝗶𝗻𝘀 𝗱𝗮𝗻𝗴𝗲𝗿𝗼𝘂𝘀 but he/she is "lucky" and the accident does not happen. It is to take this phenomenon into account that we have developed at NEXYAD a 𝗺𝗲𝘁𝗿𝗶𝗰 𝗼𝗳 𝗽𝗿𝘂𝗱𝗲𝗻𝗰𝗲 that detects any reckless behavior whether there is an accident or not. The explicit calculation of driving prudence simplifies interpretations, is useful for training drivers and for monitoring their progress. The first person to whom one sends his lack of caution is the driver himself by an alert triggered a few seconds before if and only if his behavior is reckless. This is the direct and instant prophylactic effect. The impact on accident rates reduction is 20% to 30% (reduction in the number of accidents in an equi-distributed manner; standard accidents, serious accidents, fatal accidents). This metric of prudence is available as a BYOD (Bring Your Own Device) as a ready-to-use smartphone app or as an SDK for IT developers. 𝗦𝗲𝗲 𝘁𝗵𝗲 𝗡𝗘𝗫𝗬𝗔𝗗 𝗕𝗬𝗢𝗗 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻: https://lnkd.in/epYkP9x4 #Nexyad #SafetyNex #DriverMonitoring #ADAS #BYOD #CarInsurance #RoadSafety #AI #ArtificialIntelligence #Fleet #DrivingPrudenceMeasurement #SmartphoneApp #AccidentReduction

𝗪𝗵𝗮𝘁𝘀 𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗢𝗳 𝗗𝗿𝗶𝘃𝗲𝗿𝗹𝗲𝘀𝘀: 𝗛𝗲𝗿𝗲'𝘀 𝗪𝗵𝗮𝘁 𝗘𝘅𝗽𝗲𝗿𝘁𝘀 𝗛𝗮𝗱 𝗧𝗼 𝗦𝗮𝘆 Interesting article, worth to read, by Richard Bishop for Forbes: The article provides an overview of the 13th Automated Road Transportation Symposium (ARTS24), which was held at the end of July and brought together 600 experts in autonomous mobility. At present, this mainly concerns the USA, which is the leader in the field of private and public experimentation, and to a lesser extent China. But driverless mobility could follow with few years delay in Europe, and rest of the world. Richard Bishop overview: Late this year and early 2025 are shaping up to be a breakthrough period for commercial driverless operations, building on the impressive level of deployment Waymo has already achieved. While U.S. regulations are unclear, startups have what it takes to reach the ultimate goal of profitability. Overseas deployments are also expected to make headlines next year. As this new technological capability matures, a new wave of technological improvements could emerge. https://lnkd.in/gVHyUsCS It is worth noting that Nexyad offers a hybrid physics-informed AI, on-board and real time, as a safe driving layer for autonomous vehicles, providing a safety reference to industrial players, insurers and public regulatory bodies. Forbes, Richard Bishop, May Mobility, Beep, Uber, Lyft, Waymo, Zoox, Cruise, Cavnue, Autonomous Vehicle Industry Association, Aurora, Gatik, Kodiak, ISEE , Outrider, Forterra, Starsky Robotics, Federal Motor Carrier Safety NEXYAD (We Save Lives) #Nexyad #SafetyNex #ADAS #AutomatedDriving #AutonomousDriving #RoadSafety #AI #ArtificialIntelligence #PredictiveACC #Level3 #Level4 #DrivingPrudenceMeasurement

A new report from RESEARCH AND MARKETS projects global investment in autonomous driving software to increase by 13.3% per year, from $1.8 billion today to $7 billion in 2035. "Autonomous Driving Software Market by Level of Autonomy (L2+, L3, L4), Vehicle Type (Passenger Cars, Commercial Vehicles), Propulsion (ICE, Electric), Software Type (Perception & Planning, Chauffeur, Interior Sensing, Monitoring) - Global Forecast to 2035" "𝑊𝑖𝑡ℎ 𝑡ℎ𝑒 𝑔𝑟𝑜𝑤𝑖𝑛𝑔 𝑎𝑑𝑣𝑎𝑛𝑐𝑒𝑚𝑒𝑛𝑡 𝑎𝑛𝑑 𝑎𝑑𝑜𝑝𝑡𝑖𝑜𝑛 𝑜𝑓 𝐴𝐷𝐴𝑆 𝑓𝑒𝑎𝑡𝑢𝑟𝑒𝑠, 𝑡ℎ𝑒 𝑐𝑜𝑚𝑝𝑙𝑒𝑥𝑖𝑡𝑦 𝑎𝑛𝑑 𝑠𝑖𝑔𝑛𝑖𝑓𝑖𝑐𝑎𝑛𝑐𝑒 𝑜𝑓 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒 𝑖𝑛 𝑡ℎ𝑒𝑠𝑒 𝑣𝑒ℎ𝑖𝑐𝑙𝑒𝑠 𝑖𝑠 𝑔𝑎𝑖𝑛𝑖𝑛𝑔 𝑐𝑜𝑛𝑠𝑖𝑠𝑡𝑒𝑛𝑡 𝑡𝑟𝑎𝑐𝑡𝑖𝑜𝑛. 𝑇𝑜𝑑𝑎𝑦, 𝑡ℎ𝑒 𝑝𝑎𝑠𝑠𝑒𝑛𝑔𝑒𝑟 𝑐𝑎𝑟𝑠 𝑠𝑒𝑔𝑚𝑒𝑛𝑡 ℎ𝑎𝑠 𝑎𝑙𝑟𝑒𝑎𝑑𝑦 𝑎𝑐ℎ𝑖𝑒𝑣𝑒𝑑 45 - 60% 𝑝𝑒𝑛𝑒𝑡𝑟𝑎𝑡𝑖𝑜𝑛 𝑖𝑛 𝑡ℎ𝑒 𝐿2/𝐿2+ 𝑠𝑒𝑔𝑚𝑒𝑛𝑡. 𝐴𝑠 𝑡ℎ𝑒 𝑎𝑢𝑡𝑜𝑚𝑜𝑡𝑖𝑣𝑒 𝑖𝑛𝑑𝑢𝑠𝑡𝑟𝑦 𝑚𝑜𝑣𝑒𝑠 𝑡𝑜𝑤𝑎𝑟𝑑𝑠 𝐿3 𝑎𝑛𝑑 𝑎𝑏𝑜𝑣𝑒 𝑎𝑢𝑡𝑜𝑛𝑜𝑚𝑦 𝑙𝑒𝑣𝑒𝑙𝑠, 𝑡ℎ𝑒 𝑐𝑜𝑠𝑡 𝑜𝑓 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒 𝑖𝑛 𝑡ℎ𝑒 𝑣𝑒ℎ𝑖𝑐𝑙𝑒 𝑖𝑠 𝑒𝑥𝑝𝑒𝑐𝑡𝑒𝑑 𝑡𝑜 𝑟𝑖𝑠𝑒 𝑡𝑜 𝑎𝑠 ℎ𝑖𝑔ℎ 𝑎𝑠 45% 𝑖𝑛 𝑡ℎ𝑒 𝑠ℎ𝑜𝑟𝑡 𝑡𝑒𝑟𝑚 𝑎𝑛𝑑 𝑓𝑎𝑙𝑙 𝑐𝑜𝑛𝑠𝑒𝑞𝑢𝑒𝑛𝑡𝑙𝑦 𝑏𝑦 2035. 𝐹𝑢𝑟𝑡ℎ𝑒𝑟𝑚𝑜𝑟𝑒, 𝑡ℎ𝑒 𝑝𝑟𝑜𝑙𝑖𝑓𝑒𝑟𝑎𝑡𝑖𝑜𝑛 𝑜𝑓 𝑒𝑙𝑒𝑐𝑡𝑟𝑖𝑐 𝑣𝑒ℎ𝑖𝑐𝑙𝑒𝑠 𝑎𝑛𝑑 𝑠ℎ𝑎𝑟𝑒𝑑 𝑚𝑜𝑏𝑖𝑙𝑖𝑡𝑦 𝑠𝑒𝑟𝑣𝑖𝑐𝑒𝑠 𝑖𝑠 𝑖𝑛𝑐𝑟𝑒𝑎𝑠𝑖𝑛𝑔 𝑡ℎ𝑒 𝑑𝑒𝑚𝑎𝑛𝑑 𝑓𝑜𝑟 𝑎𝑢𝑡𝑜𝑛𝑜𝑚𝑜𝑢𝑠 𝑑𝑟𝑖𝑣𝑖𝑛𝑔 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒. 𝑇𝑜 𝑠𝑡𝑖𝑚𝑢𝑙𝑎𝑡𝑒 𝑑𝑒𝑚𝑎𝑛𝑑, 𝑡ℎ𝑒 𝑛𝑒𝑤 𝑂𝐸𝑀 𝑤𝑎𝑛𝑡𝑠 𝑡𝑜 𝑐𝑜𝑛𝑣𝑒𝑟𝑡 𝑡𝑜 𝑎 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒-𝑑𝑟𝑖𝑣𝑒𝑛 𝑣𝑒ℎ𝑖𝑐𝑙𝑒 𝑐𝑒𝑛𝑡𝑟𝑎𝑙𝑖𝑧𝑒𝑑 𝑎𝑟𝑐ℎ𝑖𝑡𝑒𝑐𝑡𝑢𝑟𝑒, 𝑑𝑒𝑣𝑒𝑙𝑜𝑝 𝑚𝑜𝑑𝑢𝑙𝑎𝑟 𝑣𝑒ℎ𝑖𝑐𝑙𝑒 𝑠𝑘𝑎𝑡𝑒𝑏𝑜𝑎𝑟𝑑𝑠, 𝑎𝑛𝑑 𝑖𝑛𝑐𝑟𝑒𝑎𝑠𝑒 𝑠𝑝𝑒𝑛𝑑𝑖𝑛𝑔 𝑜𝑛 𝑐𝑜𝑚𝑝𝑙𝑒𝑚𝑒𝑛𝑡𝑎𝑟𝑦 𝑡𝑒𝑐ℎ𝑛𝑜𝑙𝑜𝑔𝑖𝑒𝑠 𝑠𝑢𝑐ℎ 𝑎𝑠 𝐴𝑙/𝐺𝑒𝑛 𝐴𝑙, 𝑖𝑛𝑡𝑒𝑙𝑙𝑖𝑔𝑒𝑛𝑡 𝑐𝑜𝑐𝑘𝑝𝑖𝑡𝑠, 𝑎𝑛𝑑 ℎ𝑖𝑔ℎ𝑒𝑟 𝑙𝑒𝑣𝑒𝑙𝑠 𝑜𝑓 𝑎𝑢𝑡𝑜𝑚𝑎𝑡𝑖𝑜𝑛." 𝗥𝗲𝗽𝗼𝗿𝘁 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: - 𝗟𝟯 𝘀𝗲𝗴𝗺𝗲𝗻𝘁 𝗶𝘀 𝗲𝘅𝗽𝗲𝗰𝘁𝗲𝗱 𝘁𝗼 𝗵𝗼𝗹𝗱 𝗮 𝘀𝗶𝗴𝗻𝗶𝗳𝗶𝗰𝗮𝗻𝘁 𝘀𝗵𝗮𝗿𝗲 𝗼𝗳 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗱𝗿𝗶𝘃𝗶𝗻𝗴 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗺𝗮𝗿𝗸𝗲𝘁 𝗱𝘂𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝗼𝗿𝗲𝗰𝗮𝘀𝘁 𝗽𝗲𝗿𝗶𝗼𝗱. - 𝗣𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝘁𝗼 𝗹𝗲𝗮𝗱 𝘁𝗵𝗲 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗶𝗻 𝗳𝘂𝗹𝗹𝘆 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝘃𝗲𝗵𝗶𝗰𝗹𝗲𝘀 - 𝗘𝘂𝗿𝗼𝗽𝗲 𝗶𝘀 𝗲𝘅𝗽𝗲𝗰𝘁𝗲𝗱 𝘁𝗼 𝗵𝗮𝘃𝗲 𝘀𝗶𝗴𝗻𝗶𝗳𝗶𝗰𝗮𝗻𝘁 𝗴𝗿𝗼𝘄𝘁𝗵 𝗱𝘂𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝗼𝗿𝗲𝗰𝗮𝘀𝘁 𝗽𝗲𝗿𝗶𝗼𝗱. Read RESEARCH AND MARKETS report: https://lnkd.in/eJSN7aeb

Dawn of Software Defined Vehicule (SDV) Since the turn of the century, automobile manufacturing has been defined by an assembly of mechanical and electrical functions: an engine, a body, wheels, steering, etc. And different control organs called ECUs (Electronic Control Unit) which manage more and more computer functions: engine maps, braking, windshield wipers, then driving assistance or ADAS and finally infotainment. Currently, numerous calculators, virtually computers, are integrated into vehicles, each responsible for specific functions such as the operation of rearview cameras. Once a function is established and meets the standards of performance and reliability, manufacturers typically refrain from altering it for that particular car model. The process of defining and assembling a model spans approximately 5 to 6 years, during which its functions become fixed and unchangeable. Tesla revolutionized the automotive industry by creating vehicles based on a general IT framework known as the Software Defined Vehicle (SDV). This concept resembles a computer equipped with seats and wheels. The key distinction lies in Tesla's ability to enhance its vehicles over time via software updates, in contrast to competitors whose vehicles tend to remain largely unchanged throughout their lifespan. A common scenario involves the necessity of visiting a dealership or service center merely to update the navigation system. Currently, nearly all manufacturers are beginning to investigate this innovative approach, with India appearing to progress at a notably rapid pace. In other words, similar to smartphones, future vehicles will have the capability to support software from various providers, as NEXYAD, to control all functionalities, not limited to infotainment, even post-purchase. The manufacturer will merely need to update the software via over-the-air downloads. Read NEXYAD offer for SDV, prudence-based autonomous driving: https://lnkd.in/eV4umJag

ANTICIPATION VS NINJA REFLEXES FOR ADAS AND AUTONOMOUS DRIVING: IMPACT ON ACCIDENT Automotive industry is currently integrating into vehicles high level automations systems : automatic emergency braking, line keeping, etc … Those systems are complex : complex to do, complex to integrate together (as A system of systems), complex to validate. Impact on accident of those complex features is unfortunately not that big. Indeed, accident is rare (1 accident per 70 000 to 100 000 km in OCDE countries) and the tree of risk situations (see image) branches that need « ninja reflexes » do not represent that much cases … That is why NEXYAD proposes SafetyNex as an anticipation system that copes with the problem of « never being in emergency situation ». Of course, SafetyNex is not perfect (as every module) and it is important to keep emergency modules in the loop for a valuable collaboration. If you have a look on the scheme below, you can notice that accident rate reduction brought by SafetyNex (anticipation effect) is much higher than ninja reflexes modules. NEXYAD is currently integrating modules including SafetyNex into autonomous vehicles … www.nexyad.com