14 août 2018

The Car of the Future May Have...Legs

The Car of the Future May Have...Legs Automobiles have played a huge part in American history, but the rise of the gasoline-powered horseless carriage was not preordained. Cars as we know them evolved in response to a specific set of circumstances. Given the proper impetus, they might easily—radically—evolve again. By the turn of the 20th century, inventors had built engines run by steam and electricity as well as gas. Each had crippling drawbacks. Steam-powered cars took a long time to fire up; electric cars were slow and... [Lire la suite]
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08 mai 2018

Sometimes, accurate ADAS sensors are not enough

Sometimes, accurate ADAS sensors are not enough in road safety, there are many cases where accurate ADAS sensors detection is not enough, because dangerous situations come from the notion of "surprise". This video shows some examples : NEXYAD developed a real time dynamical driving risk assessment SafetyNex that reads difficulties of the infrastructure on the digital map. This map is an a priori knowledge that should be used in addition to sensors. To know more : https://www.youtube.com/watch?v=bY2aDm8kfy8
17 novembre 2017

SafetyNex driving risk estimation during driving : anticipation of danger

SafetyNex driving risk estimation during driving : anticipation of danger SafetyNex estimates driving risk 20 times per second, during driving (real time). On the following figure, you can see risk rising when approaching a stop sign with an inappropriate car speed : Now with a slower speed profile : And finally the "good" safe speed profile : This estimation is computed INSIDE the local device (inside the car). Current implementation is on smartphones (IOS and Android), then computing of risk is completely done INSIDE the... [Lire la suite]
05 septembre 2017

Use Case of computer vision ADAS system (RoadNex free space detection) : automatic predictive braking

Use Case of computer vision ADAS system (RoadNex free space detection) : automatic predictive braking NEXYAD made some tries of using their module RoadNex for predictive braking. RoadNex is a computer vision based module for road detection : . detection of drivable area borders and detection of free space (drivable area surface) :   The idea is that RoadNex is NOT and obstacle detector, but ifever the drivable area is going thinner or smaller, thenthere is a chance that an obstacle should be detected. It means that RoadNex... [Lire la suite]
02 août 2017

What is driving risk and why most apps DO NOT measure it although they seem to be interesting

What is driving risk and why most apps DO NOT measure it although they seem to be interesting Driving risk assessment is now of interest of : . telematics solutions providers . fleet managers (for prevention) . car insurers (for prevention, and UBI) A lot of applications then explain how they estimate driving risk. But, by the way, what is driving risk ? A lot of people seem to think that driving risk and accident are quite the same. If I observe accident, then I will learn and do stats and find a way to estimate driving risk.... [Lire la suite]
19 juillet 2017

New usage of the real time driving risk assessment system SafetyNex : datafusion for ADAS and driverless

New usage of the real time driving risk assessment system SafetyNex : datafusion for ADAS and driverless The French company NEXYAD has been developing the 1st real time driving risk assessment module SafetyNex .A low cost implementation of this technology is proposed to car insurers and fleet managers in order to : . prevent from accident : SafetyNex alerts driver before danger, letting time to slow down and avoid accident . record usage and risk profiles for UBI (Usage Based Insurance) See a demo video here... [Lire la suite]