25 août 2019

An Autonomous Vehicle that drives like a good human driver

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]

07 août 2019

Disruption that makes autonomous driving level 5 possible : SafetyNex technology

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]
31 juillet 2019

Simulation based approach for testing and validation of autonomous vehicles

Simulation based approach for testing and validation of autonomous vehicles On the first glance, autonomous vehicles seem to be just a simple continuation of the development of assistance systems which help the driver keeping the lane, holding the distance to other vehicles and avoiding accidents, with the vision of avoiding 80% of all accidents, because they are mainly caused by human errors. However, there is huge challenge with respect to the requirements on system performance and reliability for this step. As Herrtwich mentioned... [Lire la suite]
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29 juillet 2019

SELF-DRIVING CAR MUST DRIVE "WELL" IN REGULAR CONDITION … SOUNDS EASY ? READ THIS BEFORE AND THEN TELL

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]
29 juin 2019

NEXYAD CEO conference of Artificial Intelligence for Insurance and Fleet Telematics at MEETUP organized in DUNASYS location

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]
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02 juin 2019

About ADAS (Advanced Driving Support System) and AD (Autonomous Driving)

About ADAS (Advanced Driving Support System) and AD (Autonomous Driving)   2. Positioning of ADAS in Autonomous Driving ADAS is generally positioned at level 2 of Autonomous Driving . This means that the driver is the subject of decision making.In other words,when an accident occurs the driver is responsible, that is,humans. 3. Common points between ADAS and Autonomous Driving ADAS (Advanced Driver Assistance System) and AD ( Autonomous Driving ) are useful for extracting useful information from... [Lire la suite]
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02 mai 2019

Disruption in autonomous driving : AD system adaptive to driving risk

Disruption in autonomous driving : AD system adaptive to driving risk NEXYAD has been developing an Artificial Intlligence - based software component that monitors the driving risk that an AD system is currntly taking (at each moment). It is the risk in terms of road safety (not the inherently functional safety of the AD system).It is the first time that the driving risk is explicitely computed and available in a car.Then the AD system can be aware of th risk it is currently taking.If risk is too high, it is possible to apply... [Lire la suite]
02 avril 2019

CEO OF NEXYAD WAS A SPEAKER AT THE PARIS CHALLENGEr STARTUP & INNOVATION SUMMIT ON AI (ARTIFICIAL INTELLIGENCE)

CEO OF NEXYAD WAS A SPEAKER AT THE PARIS CHALLENGEr STARTUP & INNOVATION SUMMIT ON AI (ARTIFICIAL INTELLIGENCE) NEXYAD was pleased to participate to this summit on Artificial Intelligence. We could explain how our Artificial Intelligence -based software component SafetyNex is now Embedded in many products worldwide and how it transforms industry (aftermarket for telematics - fleets & insurance -, new vehicles - cockpit and AD systems ). We also explained how such a module, via a reward system, can be used by B2C mass market... [Lire la suite]
19 mars 2019

HIGH LEVEL FUNCTIONAL SPECIFICATION OF A SELF-DRIVING VEHICLE (POINT TO POINT, ANY DESTINATION) : WHAT ABOUT DRIVING RISK ?

HIGH LEVEL FUNCTIONAL SPECIFICATION OF A SELF-DRIVING VEHICLE (POINT TO POINT, ANY DESTINATION) : WHAT ABOUT DRIVING RISK ? A general usage self-Driving vehicle is an object that picks you at a point A (that may be anywhere) and takes you to a point B (that may be any reachable point from A), as fast as possible, in comfort and safety.And that's it (main features).   Now let's see each feature : a . as far as possible : it is the actual efficiency of transportation, as mobility is a key element of Economy b . comfort : it... [Lire la suite]
11 février 2019

NEW LEAD TO TRANSFORM AUTONOMOUS DRIVING LEVEL 3 TO LEVEL 5 AUTONOMY

NEW LEAD TO TRANSFORM AUTONOMOUS DRIVING LEVEL 3 TO LEVEL 5 AUTONOMY Car manufacturers like WAYMO and TESLA has been developing high value Autonomous (AD) systems that are said to be level 3. AD systems are complex architectures in a feedforward chain : . perception. Sensor fusion. Situation understanding and holding. Decision making. Actuators Such a feedforward chain is validated on crossings of use cases recorded in huge databases.The problem is that it is not possible to validate a feedforward chain on a database and know... [Lire la suite]