OLD TELEMATICS
Vs
NEW PROACTIVE TELEMATICS

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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).

French Authorities at CES 2020

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CES 2020 LVCC CENTRAL PLAZA PAVILLON FRENCH FAB

French Secretary of State to the Minister of Economy and Finance, Ms. Agnès Pannier-Runacher has visited the booth of the MOV’EO / Groupement ADAS. Business France hosted several French automotive companies, particularly in the fields of AI, communications, Advanced Driver Assistance Systems, Autonomous vehicles, etc.

Agnès Pannier-Runacher & Gérard Yahiaoui

Agnès PANNIER-RUNACHER talked with NEXYAD CEO Gérard YAHIAOUI

Nexyad teaching Deep Learning at INSA Rouen

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NEXYAD GIVING COURSES ON DEEP LEARNING AT MASTER LEVEL FOR STUDENTS OF INSA ROUEN (NORMANDY)

NEXYAD is part of the MOVEO Groupement ADAS that built a pedagocic chair with INSA ROUEN on Intelligent vehicles (autonomous Driving, ADAS, connected car).
NEXYAD presented neural netwoks theory, practice, and methodology to students of MATHS option (Génie Mathématique) – Mentor of the chair is Pr Aziz BENSRHAIR.
With examples of real time detection for intelligent cars :
. ObstaNex : obstacle detection
. RoadNex : road fre space detection by semantic segmentation (use cas of real world old dirty roads)
The methodology “AGENDA” (Approche Générale des Etudes Neuronales pour le Développement d’Applications) was presented to help future engineer in conception and maintenance of hybrid solutions involving deep Learning among other methods. Key questions are explained and solutions proposed : how to VALIDATE such a solution ? for instance.
 

Pedagogic Chair at INSA Rouen
Nexyad CEO on front of INSA Rouen students

 

Imagine an Autonomous Driving System that drive “like a human driver”

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But with no distraction, no anger, no rush, no mood, just like the day of patent when one have it…
An Autonomous Driving System (AD System) is NOT a system that can detect “everything” and can react then the right way to “every detected situation”.

Human driver is much safer, in average, at 50 years old than at 18, although detection capabilities and reflexes are much better at 18. Improvement of safety comes from anticipation capabilities and application of safety rules in absence of detection.

NEXYAD proposes the technology SafetyNex that computes in real time at each moment the risk that the driver (human being or AD system) is taking. 75% of the Driving risk comes from the inadequation of Driving behaviour to infrastructure characteristics (so for those 75% no need for mobiles detection, and SafetyNex can assess this risk with only a GPS, a digital map, and accelerometers. With SafetyNex, the AD System is “AWARE” of the Driving risk it is currently taking and then can Apply heuristics of cautiousness even without (before) detecting any problem : i.e. slightly slowing down before a priority to the right … is a rule of cautiousness that avoids MANY accident without need for accurate ADAS detection.Driving behaviour becomes then more “human”

Video of Nexyad ObstaNex detecting cars on a regular smartphone

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Here is a video of ObstaNex, by NEXYAD, detecting cars with a regular smartphone, feeding the real time Driving risk computing SafetyNex with additional inputs such as Interdistance, for instance.

ENHANCED safety functionality for everyone (every smartphone or modern dashcam owner). Detection results may vary a little depending on quality of camera, but anyway, it brings safety alerts and can save your life.

Already integrated into dashcams for intelligent telematics.