12 janvier 2016

NEXYAD ADAS : Background of NEXYAD on artificial vision-based ADAS and autonomous vehicle

Background of NEXYAD on artificial vision-based ADAS NEXYAD is one of the companies that have the most cumulated experience on ADAS and Autonomous vehicle. 1993 : scientific paper by Gerard Yahiaoui (Founder of NEXYAD with Pierre Da Silva Dias) with a researcher of the Automotive Company PSA Peugeot Citroën : "Texture-based Image Segmentation for Road Recognition with Neural Networks", G. Yahiaoui, M. de Saint Blancard, Sixth international conference on neural networks and their industrial & cognitive applications... [Lire la suite]

11 janvier 2016

NEXYAD ADAS : Aftermarket solutions for ADAS

NEXYAD announced aftermaket solutions for ADAS. All the NEXYAD technology will be soon available on smartphones : Road Detection (RoadNex) : http://nexyad.net/Automotive-Transportation/?page_id=412 Obstacle Detection (ObstaNex) usefull for Pedestrian Detection : http://nexyad.net/Automotive-Transportation/?page_id=429 Road safety estimation / risk of accident estimation (SafetyNex) : http://nexyad.net/Automotive-Transportation/?page_id=441 Visibility measurement (VisiNex)... [Lire la suite]
04 janvier 2016

NEXYAD ADAS Validation Database : soon available for free

NEXYAD ADAS Validation Database : available for free NEXYAD will soon send a link to their ADAS validation database : video + sensors The database is described in two ways : . situation (using the methodology AGENDA) . reality (in order to let you measure your ADAS performance) Fee free to register now and you'll receive the link when available : http://nexyad.net/Automotive-Transportation/   ------------ Questions : sales@nexyad.net NEXYAD on Twitter : https://twitter.com/Nexyad_ADAS NEXYAD on Facebook... [Lire la suite]
02 janvier 2016

Robustness of NEXYAD road detection module RoadNex

ROBUSTNESS OF NEXYAD SOFTWARE MODULEFOR ROAD DETECTION : RoadNex Detection of the road, detection of the lane, in front of the vehicle is now a « must-have »for Advanced Driver Assistance Systems (ADAS) and of course for Autonomous Cars too.Every R&D team is able to show cases of good detection. The difference between differentmodules is robustness : ability to work in many cases (almost every cases). For instance, robustness consideration led many big Automotive firms to interger the MOBILEYEdetection system : jus because... [Lire la suite]
31 décembre 2015

NEXYAD Economic Intelligence : Automotive Advanced Driver Assistance Systems (ADAS) Market 2015-2025

NEXYAD always looking at suveys about ADAS and driverless cars market ... Here is a relevant study about Automotive Advanced Driver Assistance Systems Market (2015-2025), by ReportBuyer.com The Next Step Towards Autonomous, Self-Driving & Driverless Cars LONDON, May 12, 2015 /PRNewswire/ -- Report Details In many ways, advanced driver assistance systems (ADAS) are the first step on the road to semi-autonomous or fully-autonomous self-driving and driverless vehicles. In 2015, Park Assistance, Surround-View... [Lire la suite]
30 décembre 2015

NEXYAD member of the MOVEO Groupement ADAS

NEXYAD is member of the MOVEO Groupement ADAS,  This membership gives more efficiency to NEXYAD that can focus on their products and competence : . artificial vision based intelligent sensors (RoadNex for road detection, ObstaNex for obstacle detection, VisiNex for visibility measurement) . data fusion and artificial intelligence based systems for safety estimation (SafetyNex) . adas validation database (including the methodology AGENDA) . artifical intelligence for building applications (end user application, for instance) ... [Lire la suite]

26 décembre 2015

NEXYAD ADAS : road detection in fog with RainNex

NEXYAD ADAS : road detection in fog with RainNex NEXYAD announced their road detection software module RainNex V2.2 This software module is available for ADAS and Autonomous car development. RoadNex V2.2 runs :. on PC (Windows and Linux), into the RT-MAPS framework . on an electronic device of a Tier One Company. on smartphone (launching very soon) Here is a run of RoadNex V2.2 on a foggy road :   ------------   Questions : sales@nexyad.net NEXYAD on Twitter : https://twitter.com/Nexyad_ADAS ... [Lire la suite]
23 décembre 2015

NEXYAD ADAS : road detection in fog using RoadNex

Here is an example of road detection on a foggy highway : road with fog doesn't have the same constrast and the same color saturation than road without fog, so needs the road detectionalgorithm to be very robust. RoadNex detects both the surface and the borders of the drivablearea : To read more and watch demo : http://nexyad.net/Automotive-Transportation/?p=1534   ------------   Questions : sales@nexyad.net NEXYAD on Twitter : https://twitter.com/Nexyad_ADAS NEXYAD on Facebook... [Lire la suite]
03 décembre 2015

NEXYAD ADAS : Paper of NEXYAD team about ADAS Validation, in next Autonomous Vehicle Test & Development Symposium 2016

Validation of ADAS, especially those that use complex sensors such as cameras, is a very big issue for the next 5 years. NEXYAD has been developping a methodology (called "AGENDA", French acronym), and is currently recording a big validationdatabase (th NEXYAD ADAS VALIDATION DATABASE).A part of this database will be available for free on the internet. It means that every research and development team in the world,will be allowed to use the recorded examples. NEXYAD will describe the methodology and the database in the next... [Lire la suite]
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30 novembre 2015

NEXYAD ADAS : New release of the road detection module RoadNex tested in overstructured urban traffic

NEXYAD has been developping a road detection module (RoadNex) that doesn't need structured markings on the road, see : http://nexyad.net/Automotive-Transportation/?p=1496              http://nexyad.net/Automotive-Transportation/?p=1390   Now let's see how the new release RoadNex V2.2 works in a very complex city street environment with markings and other vehicles(including a motorbike) : https://www.youtube.com/watch?v=G3cBiZr1TiE One can see that NEXYAD module for road detection is... [Lire la suite]