Category Archive: News

Jun
14

A.I. key of profitability Conference at TNP

TNP logo

This thursday 14th june, TNP, a consulting firm specializing in business transformation, inaugurated its new generation start-up accelerator! The audience follow interesting conference about Artificial Intelligence in Mobility field.

– Benoit Ranini, TNP : Introduction
– Philippe Giry-Deloison : Conseiller municipal de Neuilly sur Seine
– Stéphane Mallard : Artificial Intelligence, Get ready for disruption
– Juliette Girard, Renault & Adrian Pellegrini, Blue DME : Feedback on futuristic car dealership
– Gérard Yahiaoui, Nexyad : Intelligence on board with SafetyNex
– Demo and business dating with TNP Accelerator’s start-ups

Gerard Yahiaoui
Gérard Yahiaoui, CEO of Nexyad


Jun
13

The European Mobility Exhibition 2018

TP 2018

Transports Publics, the European Mobility Exhibition, is the not-to-bemissed biennial exhibition for all the key players in public transport and sustainable mobility from across Europe. Over 11,000 highly qualified participants come together over three days in Paris to discuss the latest innovations for urban, interurban and regional transport, as well as green mode transport.
Transports Publics is recognised as the leading European showcase for innovations in equipment, services and policies relating to the entire mobility sector, bringing together leading European decision-makers from transport and politics.

Smart-Vision

This year, we could see for the first time, the new technology for rear-vision on buses,coaches and trucks : the camera-based system instead of mirrors. We visited Vision Systems booth that is the first firm to propose such system with its Smart-Vision product.
Smart-Vision allows to save about 5% gas consumption, that reduces CO2 emissions; the cockpit screens for driver are much more efficient than mirrors, they eliminate sun glare or reflexion problems and of vehicles lights, and they increase visibility at night and tunnel conditions.
This solution has been integrated in Heuliez and Irizar buses as shown on the exhibition, and public transportation operators companies in Europe have already adopted Smart-Vision.
Vision Systems also shown a lidar perception system around vehicle called Savety-Front for collision avoidance.

Navya

The trend of 2018 was on electrification for buses in particular, and public transporation in general.
Autonomous pod or shuttle was not yet present except outside with Navya.

Lohr Pod
Cristal by Lohr


Jun
07

MOV’EO Imaging Mobility Forum 2018

Imaging Mobility Forum by MOV’EO, June 7th 2018 at ESTACA, Campus Paris-Saclay.
“Innovation Hubs : a new deal for efficient mobility”

 
Luc Chatel - Rémi Bastien
Luc Chatel, PFA President                                             Rémi Bastien, Mov’eo President

 
– Mov’eo General Assembly – 2017 Management & Financial report
– Keynote : opening by Luc CHATEL, Chairman, French Automotive Industry & Mobilities, Former French Secretary of State for Industry
– Tech Sessions : Blockchain: the ultimate bypassing. New Eldorado for mobility or just a buzz?
Smart Grid: the key for electric mobility solutions ?
ESTACA’LAB research activities on intelligent, clean and safe transport
 
Conference : Innovation Hubs : a new deal for efficient mobility
– Introduction by Rémi Bastien, Mov’eo Chairman & Ludovic Busson, ESTACA Chairman
– Keynote : Richard Dujardin, CEO France, Transdev & Patrick Pelata, Chairman, Meta Consulting LLC
– Roundtable – European clusters :
Rémi BASTIEN, VP Automotive Prospective, Groupe Renault, Chairman of Mov’eo & VEDECOM Institute
Leo KUSTERS, Managing Director, AutomotiveNL
Maren LOUCHET, International Cooperation, e-mobil BW
Laura MORGAGNI, CEO, Torino Wireless

 
Groupement ADAS
Adaccess demo car                                             Groupement ADAS Booth


Jun
05

SafetyNex Episode 6 : SafetyNex can save your life part 5
Pedestrians Crossing use case



Jun
03

SafetyNex Episode 6 : SafetyNex can save your life part 4
Stop Sign use case



May
31

SafetyNex Episode 6 : SafetyNex can save your life part 3
Priority use case



May
29

SafetyNex Episode 6 : SafetyNex can save your life part 2
Tight Curve use case



May
26

SafetyNex Episode 6 : SafetyNex can save your life part 1
Rainy Curve use case



May
24

Broad Range Applications of Real Time Driving Risk Assessment

BROAD RANGE APPLICATIONS OF REAL TIME DRIVING RISK ASSESSMENT
Driving risk is not predictable from the so called “black spots” location, or from only driving behaviour. Driving risk appears when driving behaviour is not adapted to driving context, and particular, to road infrastructure complexity. There is no inherently bad driving behaviour (it depends on WHERE you drive: a disused airport ? in front of a school ? approaching an intersection ? risk is different for all those case). There is no inherently dangerous infrastructure and all automotive projects that record “black spots” are doomed to failure : they are places where few drivers in the past had a driving behaviour that was not appropriate to infrastructure complexity, and they died in accident. Thousands, millions, of other drivers did not have any accident at this location. What will this information bring to YOU ? Nothing ! It is necessary to evaluate adequation of YOUR driving behaviour to infrastructure complexity.
An AI module does that 20 times per second: SafetyNex.
Driving risk computed by SafetyNex is a core notion with lots of different applications : car insurance, fleet management, commerce, ADAS, Autonomous Driving, Vocal Driving Assistants, …

SafetyNex Presentation Page

May
22

Deep Learning for Onboard Applications: Hidden Trap

DEEP LEARNING FOR ONBOARD APPLICATIONS: HIDDEN TRAP
Now Deep Learning is used in onboard detection and pattern recognition applications. NEXYAD for instance uses Deep Learning in RoadNex (road detection without need of markings + detection of free space), and ObstaNex (obstacles detection).
But if you do not analyse your INDUSTRIAL project in detail, you may have bad surprises : everyone thinks he/she knows that the more numerous the training examples, the most accurate the KPIs. Let’s say you used 1 billion km to train and validate your Neural Network (NN) for computer vision. Now a new cam is launched on the market (32 bits per color, 10k) : If you want to use your NN, you will degrade quality of images and put them into your system. If you want to take advantage of your better camera, then you must capture 1 NEW billion km with the new cam and train a new NN.
NOT VERY INDUSTRIAL!
NEXYAD has developed a methodology to get same KPIs with a very picky compact database (easy to reshape the database with new sensors) : A.G.E.N.D.A. (Approche Générale des Etudes Neuronales pour le Développement d’Applications), published in scientific papers in the 90’s – yes – the 90’s by NEXYAD team.

Deep Learning Database Validation

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