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DEEP LEARNING COURSES AT MASTER LEVEL BY NEXYAD MEMBER OF MOVEO GROUPEMENT ADAS : TEACHING CHAIR WITH INSA ROUEN NEXYAD CEO TEACHING DEEP LEARNING TO MASTER STUDENT OFNORMANDY ENGINEERING SCHOOL INSA ROUEN INSA ROUEN and MOVEO GROUPEMENT ADAS created a teaching chair on intelligent vehicles (ADAS, Autonomous Driving, connected vehicle, ...). Last week, it was all about deep learning applied to real world applications : . concepts . how to build NN architecture ? . how to build learning database and validation database ? .... [Lire la suite]

BLACK SPOTS "THEORY" HAS NO MEANING FOR ROAD ACCIDENT Everyone has heard about "black spots" where there would be a concentration of road accident and some companies try to build a map of them … This is doomed to failure. Imagine yourself, blindfolded, darting on a wall. Each time you finish, you inspect and note the areas of impacts concentrations ... Of course, at each turn, the areas are elsewhere! because it's only random with an insufficient number of repetitions . Well, that's exactly what you do when you record traffic... [Lire la suite]

NEXYAD at the pedagogic chair on Intelligent & Autonomous cars at INSA Rouen in Normandy NEXYAD CEO came (Sept 18 2019) to present NEXYAD activity on Artificial Intelligence, risk assessment, and deep learning_based computeer vision to students in Master level at Egnineering School INSA Rouen in Normandy. NEXYAD was with the other company of Groupement ADAS SHERPA Enginering and with the research cluster MOV'EO. Companies of Groupement ADAS will come during the year to present real world applications of their hight-tech... [Lire la suite]

ARTIFICIAL INTELLIGENCE FOR PROACTIVE TELEMATICS Onboard telematics for vehicles is a huge market  :   Appications are : . geolocation. predictive maintenance. eco-driving. navigation. IoT for ads and marketing. UBI (Usage Based Insurance). and now : ROAD SAFETY Road Safety is a very complex filed of study where everyone thinks he/she knows almost everything (because we are drivers) but that is much more complex than it seems : . there is a theory of risk (triangle of risk by Frak E. Bird) : quite no one has read it... [Lire la suite]

An Autonomous Vehicle that drives like a good human driver Autonomous véhicles are one of the main R&D subject in automotive sector. Autonomoy has been described in a functional way and classified in 6 levels, from 0 to 5. Today, intelligent cars that are for sale (TESLA, ...) are said to be level 3, and some car munifacturers claim that they have demo cars with a level 4. The chain of the Autonomous Driving System (AD System) is quite always a feed forward chain, from sensors to actuators, and applies or may apply Artificial... [Lire la suite]

Disruption that makes autonomous driving level 5 possible : SafetyNex technology Most consultant and experts on automotive prospection tend to postpone the arrival of full autonomous driving. Their method is simple : they consider the current level 3 autonomous systems, and they estimate the number of examples in a database and the number of operation calculation should be done to improve the level 3 and cover "every" use cases. But this method is wrong. Indeed, the current AD Systems can be described as a chain as follow... [Lire la suite]

Visibiity measurement, road and obstacle detection : what is the differentiation of NEXYAD algorithms NEXYAD is the leader of real time computind with their technology SafetyNex. SafetyNex is not an ADAS system, it is an anticipation one : without detecting anything, just know where you drive, can you know what cautiousness rules of driving you should follow. SafetyNex is a real time coach that computes in real time the driving risk that the driver is currently taking.. if driver in a human being, it has been shown that SafetyNex... [Lire la suite]

SELF-DRIVING CAR MUST DRIVE "WELL" IN REGULAR CONDITION … SOUNDS EASY ? READ THIS BEFORE AND THEN TELL Human drivers don't have the sharp reflexes of ADAS. But they have only 1 accident in average every 100 000 km and 3 fatalities in average every billion km (OECD). Drivers that have the best reflexes are in average the Young ones - 18 to 25 - (biology). However, they also have much more accident than the 50 years old drivers (not as fast as they used to be when they were 20). Well, it seems that finally road safety is not... [Lire la suite]

FOUR SHADES OF ROAD SAFETY : ANTICIPATION, ADAS, PASSIVE SAFETY Here is a diagram of different shades of road safety. The pyramid witdh corresponds to the number of cases. "Normal" driving is the regerence, is is the most frequent situation, while fatality is fortunately an exception. Tools among the pyramid are filters made to avoid fatality :. SafetyNex (by NEXYAD) is today the 1st and only tool made to stay in normal driving situation (not to be in emergency).. ADAS (Advanced Driver Assistance Systems) are made to avoid or... [Lire la suite]

NEXYAD CEO conference of Artificial Intelligence for Insurance and Fleet Telematics at MEETUP organized in DUNASYS location NEXYAD CEO presented the Artificial Intelligence based module SafetyNex that computes at each moment the driving risk that the driver is currently taking. This risk can be used for : . alerting human driver with anticipation, letting time to slow down slightly and avoid emergency situation : this solution reduces accident rate by 20% . alerting the AD-system of Autonomous Car that will servo-control its... [Lire la suite]