Tag: autonomous vehicle

RoadNex V2.0 (new film demo on a deep forest road without markings)

NEXYAD is proud to show a demo film of the RoadNex V2.0 (by NEXYAD) module (road detection in front of a vehicle).

This module runs as a component of the framework RT-MAPS (by INTEMPORA), and can recognize the road with or without white lines : even European countryside roads are detected.

RoadNex may be used for developing ADAS (Advanced Driver Assistance Systems) and Autonomous Vehicles.

In this demo, the road has got no markings at all, and is quite dark. RoadNex still works in this king of road.


RoadNex (new film demo)

NEXYAD is proud to show a demo film of the RoadNex (by NEXYAD) module (road detection in front of a vehicle).

This module runs as a component of the framework RT-MAPS (by INTEMPORA), and can recognize the road with or without white lines : even European countryside roads are detected.

RoadNex provides 2 outputs :

. The detection of road sides (lines : you can chose you pasting colors) : as you can see on the film below, this works even without road signs (white lines)

. The detection of the road material (painted area : you can choose your colors) : a road is not only a shape with two sides, but also an aspect. If ever a pedestrian is standing in the middle of the road, then the aspect will change.




RoadNex is an advanced module for Advanced Driver Assistance Systems (ADAS) and also for projects of Autonomous Vehicles.

RoadNex is currently under cross compilation on smartphones environments (Android, IOS, Windows phone).

NEXYAD RECRUTE / NEXYAD CURRENTLY RECRUITING

NEXYAD recrute deux docteurs dans les secteurs des mathématiques appliquées (signal, images, données).

. Travail sur des programmes de recherche collaborative (type FUI, projets Européens, …)
. Travail sur des programmes de recherche non collaborative interne
. Travail sur le développement de produits de haute technologie

Les domaines sont :

. Vision robotique
. Détection de défauts, contrôle d’aspect, reconnaissance de formes
. Applications embarquées d’aide à la conduite (et véhicule autonome)
. Traitement d’images pour le cinéma
. Statistiques, analyse de données, modèles probabilistes pour le Big Data

Les profils recherchés sont :

. Fort niveau théorique
. Aptitude à concrétiser en pratique (à mettre en œuvre)
. Développement informatique
. Travail en équipe

 

Contact : contact@nexyad.net, 01 39 04 13 60

 

NEXYAD is currently recruiting two Ph-D s in the areas of applied mathematics (signal, images, data).

. Work on collaborative research programs (FUI type European projects, …)
. Work on internal non-collaborative research programs
. Work on the development of high-tech products

The areas are:

. Robot vision
. Fault detection, aspect control, pattern recognition
. Embedded applications for driving assistance systems (autonomous vehicle)
. Image processing for movies
. Statistics, data analysis, probability models for Big Data

The profiles are:

. Strong theoretical level
. Ability to achieve in practice (to implement)
. IT development
. Teamwork

 

Contact: contact@nexyad.net, 01 39 04 13 60

NEXYAD vision-based ADAS modules for a demo car of “Université de Haute Alsace”

NEXYAD delivered a camera and two high-tech software modules :
. RoadNex : vision-based road detection in front of a car (for ADAS and Autonomous Vehicles)
. ObstaNex : vision and inertial navigation – based obstacle detection (for ADAS and Autonomous Vehicles)

Those two modules are integrated as component into the real time environment RT-MAPS (Intempora), and communicate with de neural network – based pattern recognition module Neuro-RBF (GlobalSensing Technologies).

NEXYAD will support Université de Haute Alsace during 2015 to integrate ObstaNex with their intertial
navigation unit.

NB : the 3 companies Nexyad, Intempora, GlobalSensing Technologies are members of the Mov’eo Groupement ADAS : http://groupementadas.canalblog.com/

ADAS

Proceedings of the 2014 CESA

General Information

Nexyad was at the CESA Congress (organized by sia) on 3 and 4 December 2014.

Our presence was at three levels:
. Participation in the round table on the development of ADAS
. Publication on a methodology for validating adas (ADAS validation)
. Presence on the booth ADAS Mov’eo Group

The congres was full of contributions, and main important points we noticed are:

. Emergence of new business models opportunities for high-tech SMEs technology in the world of ADAS
. Strong awareness of the need for ADAS test and validation methodology
. Emergence of highly structured sensors strategies for classifying

ADAS in terms of features, cost, operating range, robustness, …

. Round table

Participants in the roundtable were:
. Maria Belen Aranda Colas, Robert Bosch
. Ching-Yao Chang, University of Berkeley
. Thierry Lehay, PSA Peugeot Citroën
. Patrice Reilhac Valeo
. Gabriel Toffolo, Renault
. Gérard Yahiaoui Nexyad

Questions focused on the need for standardization of HMI and on the need to create new job profiles and competences to effectively develop ADAS and autonomous vehicle, and also on the opportunity for SMEs to find new business models in this ADAS field. Also mentioned the need for standards methods and tools For ADAS validation. Nexyad exposed the opportunity for SMEs to use the nomadic systems of image acquisition, computing and storage (smart phones). these new devices make it possible for SMEs to imagine B2C applications.

. Publication of Nexyad

Nexyad presented the AGENDA methodology that was originally developed in the 90 to specify learning and test data bases for training and validation of artificial neural networks applications.

It appears that this methodology is completely adapted to the specification of ADAS validation
databases.

Nexyad is also currently integrating this methodology in an upcoming tool that will send host such a database and easily manage all crossings of road scenes variability factors (work in collaboration with the SMEs Intempora and Civitec).

During the same session other organizations (Daimler for instance) also presented very interesting for the validation of ADAS.

The proliferation of interesting ideas on this key issue is rather good news and suggests a significant advance in the near future.

NEXYAD on Vision symposium in Stuttgart, Germany

Presentation of the two NEXYAD software blocs :

– RoadNex : road detection for ADAS and Autonomous Vehicles development

– ObstaNex : obbstacle detection for ADAS and Autonomous Vehicles development

On a booth on the VISION symposium.

This booth gathers 3 hight-tech SMEs of Mov’eo working together in Mov’eo Groupement ADAS. (GlobalSensing Technologies, Intermpora, NEXYAD)




New releases of NEXYAD algorithms for ADAS (January 31, 2014)

New releases of NEXYAD algorithms for ADAS :

RoadNex : detection of the road in front of vehicle for your ADAS

Link : https://nexyad.net/Automotive-Transportation/?page_id=412


ObstaNex : detection of obstacles/pedestrians in front of the vehicle for your ADAS

Link : https://nexyad.net/Automotive-Transportation/?page_id=429


VisiNex Onboard : measurement of visibility in front of the vehicle for your ADAS

Link : https://nexyad.net/Automotive-Transportation/?page_id=438


DrowsiNex : Detection of driver’s drowsiness for your ADAS

Link : https://nexyad.net/Automotive-Transportation/?page_id=423


SafetyNex : car safety/risk onboard estimation for your ADAS

Link : https://nexyad.net/Automotive-Transportation/?page_id=441

Those software blocs are available as user licences for research (autonomous vehicles and adas demo cars, …) as dll for windows or as RT-MAPS components.

NEXYAD also takes into account opportunities to embed those blocs into your ADAS systems for new vehicles or as after market solutions in your distribution network.