09 septembre 2017

Sensor Fusion and Data Fusion for ADAS and driverless vehicle

Sensor Fusion and Data Fusion for ADAS and driverless vehicle The French High-Tech startup NEXYAD recently presented their module SafetyNex. SafetyNex is a real time driving risk assessment system. Of course, Driving Risk makes everyone think of car insurance and fleet management. And it is a natural application (deployment has already started). But it is important to note that Driving Risk is also a key notion for ADAS and Driverless car. Indeed, Driving Risk happens when there is no adequation between Driving Behaviour and Diving... [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]
18 janvier 2017

New demo of object tracking and classification using neural networks and 3d flash LiDAR

Based on the components developed by LeddarTech, GlobalSensing Technolgies and Intempora this videos shows how 3D sensor data input to neural  network plus sensor data and video fusion make possible object tracking and classification      
07 janvier 2017

A Review of Data Fusion Techniques

A Review of Data Fusion Techniques The integration of data and knowledge from several sources is known as data fusion. This paper summarizes the state of the data fusion field and describes the most relevant studies. We first enumerate and explain different classification schemes for data fusion. Then, the most common algorithms are reviewed. These methods and algorithms are presented using three different categories: (i) data association, (ii) state estimation, and (iii) decision fusion. 1. Introduction In general, all tasks that... [Lire la suite]
Posté par NEXYAD à 06:02 - - Commentaires [0] - Permalien [#]
Tags : , , ,
01 janvier 2017

Groupement ADAS wishes you all a Happy New Year 2017

Groupement ADAS wishes you all a Happy New Year 2017 Groupement ADAS was created in the "pôle de compétitivité MOV'EO", in France. Its goal is to gather SMEs and medium sized companies involved in ADAS, connected car,  and driverless development : . products for car series. products for aftermarket series : car insurance, fleets, . smartphone Apps for drivers. products for research & development teams. studies and services : perception, data fusion, control, human factor, .... big data cloud platform for your... [Lire la suite]
21 décembre 2016

Exponential Technology and the Self-Driving Car‏

Exponential Technology and the Self-Driving Car‏ On a crisp autumn day, two sleek Mercedes sedans smoothly joined the flow of traffic on French Autoroute 1 near Paris’ Charles de Gaulle airport. For hours the two vehicles drove along the highway in heavy traffic, passing other cars when necessary. Although no obvious signs distinguished them as unique, close observation would reveal that both were autonomous vehicles, driving themselves with human-level competency. Self-driving vehicle... [Lire la suite]

20 décembre 2016

Data Fusion Strategies in Advanced Driver Assistance Systems

Data Fusion Strategies in Advanced Driver Assistance Systems Data fusion plays a central role in more and more automotive applications, especially for driver assistance systems. On the one hand the process of data fusion combines data and information to estimate or predict states of observed objects. On the other hand data fusion introduces abstraction layers for data description and allows building more flexible and modular systems. The data fusion process can be divided into a low-level processing (tracking and object... [Lire la suite]
22 août 2016

Accident fatalities in a TESLA car might have been avoided by using software modules of NEXYAD: the time for monitoring has come

Accident fatalities in a TESLA car might have been avoided by using software modules of NEXYAD : the time for monitoring circuit has come. by NEXYAD Passions run around the issue of autonomous vehicles, or semi-autonomous. Recently with a TESLA car there has been a fatal accident while on autopilot mode. NEXYAD studied traffic safety for twenty years, and we give some elements of reflection on this type of accident.   Processing circuit, informing auti-pilot systems, control, etc ... from perception, data... [Lire la suite]
22 juillet 2016

Adas and autonomous vehicle : Sensor data fusion: state of the art survey

Adas and autonomous vehicle : Sensor data fusion: state of the art survey This survey is organized into three research directions driven by somewhat different research communities: (1) sensor networks, (2) robust navigation and (3) situation awareness. The current and future progress in these areas will affect security and crisis management needs as treated in [1], for instance in the areas: surveillance of environment, borders, harbors, critical infrastructure and private properties; secure transportation systems; rescue operations... [Lire la suite]
14 décembre 2015

Data Fusion and Artificial Intelligence for ADAS and Antonomou car

NEXYAD proposed a new way for data fusion in 2 steps : . Step 1 : data fusion  On ths level, modules c omminucate together in a dynamic way (there may bedifferential systems if outputs are connected to inputs.On the above diagram, VisiNex measures visibility, RoadNex detects the roadin front of the vehicle. Its inputs are both image (from a camera) and Region ofInterested that comes from SafetyNex (that is a connected object that reads themap in front of the vehicle). VisiNex may change tuning parameters of RoadNex and... [Lire la suite]