Invité à ouvrir le show des conférences Keynote de la 50ème édition du CES 2017, NVIDIA a multiplié les annonces. On note une montée en puissance tout au long de la conférence. Durant une heure d’intervention, le patron de NVIDIA, Jen-Hsun Huang, a enchaîné des annonces de grandes envergures qui (next)impacteront (?) le véhicule autonome. En 2015, Nvidia a lancé Drive PX. L’année qui a suivi, Drive PX 2 a pris la relève, accompagné d’une plateforme d’agrégation des données, Drive Network. Découvrez un résumé illustré de ce que NVIDIA a présenté en lien avec le secteur Auto au CES 2017.
NVIDIA drive CES 2017 – Opening keynote –
— CES (@CES) 5 janvier 2017
NVIDIA drive CES 2017 – Opening keynote – intro
CES 2017: Amplifying Imagination and Intelligence – NVIDIA keynote part 1)
At CES 2017 in Las Vegas, NVIDIA founder and CEO Jen-Hsun Huang describes the company’s dedication to solving some of the most challenging computing problems ever: gaming, virtual reality, supercomputing and self-driving cars. And how GPU deep learning has ignited the revolution in artificial intelligence that will transform our lives.
NVIDIA drive CES 2017 – Accelerating the Auto Industry
While the display helped Jen-Hsun transport the audience to faraway digital worlds, some of the biggest news was how NVIDIA technologies will change the way we move around on this realm.
Scott Keogh, president of Audi of America, joined Jen-Hsun to announce that our companies are working together to put advanced AI cars on the road by 2020.
Scott noted that since announcing a partnership with NVIDIA ten years ago, Audi’s sales have jumped from 60,000 cars a year to 210,000 cars in 2016.
“The reason we did that is honestly the crazy technology our engineers and your engineers have put together,” Scott said.
Jen-Hsun also provided details on partnerships with mapping companies HERE and ZENRIN; and two of the world’s largest automotive suppliers, ZF and Bosch.
It’s all part of our effort to reinvent the $10 trillion transportation industry with the AI car — vehicles that use deep learning-based AI to make driving safer, more personalized and more enjoyable.
It’s the only way to manage the complexity of navigating city streets, Keogh said. “There’s no amount of programming in the world that will manage the street environment daily, the only way to get there is with artificial intelligence,” Keogh said.
Central to delivering this capability is our DRIVE PX platform and our DriveWorks software, which integrate a range of sensors and blend multiple neural networks that learn based on past experience.
It’s technology that you can see for yourself at CES. “There’s an Audi with an NVIDIA car computer in the Gold Lot driving by itself right now, not the end of next year, not the end of this year, right now,” Jen-Hsun said, calling attention to a demonstration we’ve set up for CES.
And providing new muscle for this vision will be our forthcoming Xavier AI supercomputer on a chip – a thumb nail-sized chip using our next GPU architecture, Volta – that delivers 30 TOPS (trillion operations per second) of performance while consuming just 30 watts of power.
AI Is My Co-Pilot
We’re putting that power to work with AI Co-Pilot, which promises to help your car understand you as well as it does the world around it.
There’s an AI for natural speech recognition, to pick up your spoken commands. An AI for face recognition, so the car knows who you are, setting personal preferences and eliminating the need for a key. An AI for gaze detection, so your car knows if you’re paying attention. And an AI that can read your lips when you say the name of the next song you want to play, even if you’ve already got your radio cranking.
In addition to the AIs within the car, AI Co-Pilot integrates external sensors so that it can tell you when there’s a bicycle pulling out into traffic as you’re about to make a turn, or if a pedestrian has stepped into the road.
Besides helping you drive better, our new AI Auto-Pilot enables the car to drive itself, combining input from an array of sensors, HD maps and — thanks to the ability to share data — a far deeper well of experience than even the most seasoned driver.
“We would like to turn your car into an AI, and that by applying this technology we can revolutionize the automobile and bring joy and delight and safety to millions of people”
La firme a présenté une carte dédiée aux calculs de l’intelligence artificielle. Cette dernière embarque un processeur ARM x64 8 cœurs, un processeur graphique Volta capable d’effectuer 30 000 TOPS (trillion operations per second) et consomme 30 Watts. Xavier, c’est le nom de ce superordinateur (en référence au film X-Men), est le cœur de la plateforme de l’intelligence artificielle développée par NVIDIA et nommé AI Co-Pilot.
CES 2017: AI for Self-Driving – NVIDIA keynote part 5
NVIDIA CEO Jen-Hsun Huang describes how AI will transform the transportation industry, and the world around us, by enabling self-driving vehicles. This future will be enabled by Xavier, NVIDIA’s AI car supercomputer, offering 30 trillion operations per second at 30 watts.
Nvidia se concentre sur le présent puisque ce copilote ne prend pas le contrôle du véhicule. Il aide le conducteur à rester concentrer et pourrait « conduire » sur des portions de routes les moins complexes pour lui, comme l’autoroute.
C’est ce que concerne les projets autour de la voiture BB8 (nom en référence au film The Force Awakens), une Ford Lincoln rendue autonome par NVIDIA. Mais pour l’instant l’humain garde la maîtrise de son véhicule.
CES 2017: AI Co-Pilot – NVIDIA keynote part 6
NVIDIA CEO Jen-Hsun Huang introduces NVIDIA AI Co-Pilot, a new capability on the company’s AI car computer, which uses face recognition, head tracking, gaze detection, and lip reading to make driving safer and more enjoyable. He also announced HD mapping partnerships with Japan’s ZENRIN and Germany’s HERE.
HERE, NVIDIA Partner on AI Technology for HD Mapping from Cloud to Car
Un nouvelle brique de la plateforme destinée à l’AI Car voit la création d’un écosystème sans précédent dans l’industrie de la cartographie. Nvidia vient en effet de signer des accords avec quatre des plus grands acteurs du secteur, dont TomTom et Here pour l’ensemble du monde, Baidu pour la Chine et Zenrin pour disposer des informations du Japon. Un rapprochement qui facilitera la communication entre les technologies et, par conséquent, la synchronisation des données en temps réel.
LAS VEGAS, NV – CES — With their sights set on a driverless future, HERE and NVIDIA (NASDAQ: NVDA) today extended their collaboration to develop HERE HD Live Map into the industry-leading real-time, high-definition mapping solution for autonomous vehicles.
The broad collaboration for the solution, which would span the vehicle and the cloud, includes three planned initiatives:
-HERE is accelerating HERE HD Live Map using NVIDIA MapWorks AI technology.
-NVIDIA is developing localization technology based on HERE HD Live Map as part of NVIDIA DriveWorks software — enabling automakers using NVIDIA DRIVE™ PX 2 in the car to integrate localization capability.
-HERE and NVIDIA intend to collaborate on a HERE HD Live Map-based in-vehicle solution to perceive changes in the environment and update the map in the cloud accordingly.
« The physical world is changing all the time and self-driving cars need to be aware of that change so they can take better driving decisions. HERE HD Live Map already addresses that need and by working with NVIDIA we can ensure that automakers deploying the NVIDIA DRIVE platform can easily enable HERE HD Live Map for self-driving cars. »
– Edzard Overbeek, chief executive officer of HERE
« HD maps are essential for self-driving cars. HERE’s adoption of our deep learning technology for their cloud-to-car mapping system will accelerate automakers’ ability to deploy self-driving vehicles. » – Jen-Hsun Huang, founder and chief executive officer of NVIDIA
HERE HD Live Map, a cloud service supporting all levels of vehicle automation, is already commercially available for North America and Western Europe. Through multiple modes of sensor ingestion and aggregation, it can update itself, with rich data layers assisting the vehicle in positioning, localization and strategy planning.
At the HERE booth at CES, NVIDIA and HERE are showcasing localization using the HERE HD Live Map on the NVIDIA DRIVE PX 2 AI computer. It uses deep learning to precisely locate the vehicle’s position with centimeter accuracy, as well as to detect how the environment around the car may differ from the current map. Road tests are already taking place as part of this collaboration.
NVIDIA a continué avec l’officialisation d’un contrat de fourniture similaire conclu avec Bosch, qui voit donc l’intégration du Drive PX 2 au cœur des futurs modules intelligents de l’équipementier allemand.
ZF a de son côté sa plateforme de pilote automatique Pro Ai basée sur puce Drive P X2.
— ZF Group (@ZF_Group) 4 janvier 2017
Transportation Supplier ZF and NVIDIA Announce AI-Based Self-Driving System for Cars, Trucks, Commercial Vehicles
LAS VEGAS, NV – ZF, one of the industry’s largest automotive suppliers and top supplier to Europe’s trucking industry, today launched the ZF ProAI self-driving system, based on the NVIDIA DRIVE™ PX 2 AI car computer, for cars, trucks and other commercial vehicles for factories, agriculture and mining.
ZF is the first tier-1 auto supplier to bring an AI self-driving computer based on DRIVE PX 2 into production for commercial availability.
ZF ProAI uses the DRIVE PX 2 AutoCruise configuration to enable companies to build self-driving vehicles – ranging from cars and trucks, to industrial applications, such as forklifts and materials-handling vehicles.
‘With NVIDIA, we are bringing the supercomputing power required for artificial intelligence into cars and commercial vehicles. ZF is enabling vehicles to see, think and act. NVIDIA’s AI platform lets us take a giant leap forward when it comes to enabling vehicles – whether cars, trucks or forklifts — to think.’
– Stefan Sommer, chief executive officer of ZF
Speaking at ZF’s event ahead of the start of CES 2017, Rob Csongor, vice president and general manager of Automotive at NVIDIA, discussed how NVIDIA is working to bring artificial intelligence in deep neural networks to a wide variety of industries.
‘It’s not an exaggeration when we talk about artificial intelligence as the technology that will spark an industrial revolution, » Csongor said. He added that, in transportation, AI promises to reduce traffic fatalities and congestion. « Doing this requires a computational breakthrough and we now have that breakthrough in AI.’
ZF ProAI can process inputs from multiple cameras, plus lidar, radar and ultrasonic sensors, in a process called sensor fusion. This will enable the vehicle to paint a 360-degree view around itself, locate itself on an HD map and find a safe path through traffic.
NVIDIA, AUDI Partner to Put World’s Most Advanced AI Car on Road by 2020
En cloture de sa « keynote », l’emblématique président a invité Audi à monter sur scène. Après dix ans de collaboration qui auront vu, pêle-mêle, l’intégration des services de Google Maps, la virtualisation du cockpit ou encore l’automatisation de prototypes qui ont sillonné l’Amérique, Audi et Nvidia s’engagent dans la conception d’une voiture autonome, répondant au nom de code d’AI Car, qui doit voir le jour en 2020.
LAS VEGAS, NV – CES – NVIDIA and Audi today shifted their decade-long partnership into high gear, announcing that they are collaborating to put advanced AI cars on the road starting in 2020.
Speaking at the opening keynote at CES, NVIDIA founder and CEO Jen-Hsun Huang, joined on stage by Audi of America President Scott Keogh, said future Audi car models will use deep learning to tackle the complexities of driving.
The first phase of this new collaboration focuses on NVIDIA DRIVE PX, an AI platform for self-driving cars, which uses trained AI neural networks to understand the surrounding environment, and determine a safe path forward.
‘NVIDIA is pioneering the use of deep learning AI to revolutionize transportation,’ said Huang. ‘Audi’s adoption of our DRIVE computing platform for AI cars will accelerate the introduction of next-generation autonomous vehicles, moving us closer to a future of higher driving safety and new mobility services.’
Keogh said: ‘Audi drivers know the pinnacle of performance and technology. In our mutual pursuit for safer roads, the partnership between Audi and NVIDIA will expand to deep learning and artificial intelligence to bring higher automation onto the road more quickly.’
One of the highlights of CES 2017 will be demos of an Audi Q7 piloted driving concept. Passengers will be able to ride in the vehicle’s back seat, with no one behind the wheel.
Outfitted with a DRIVE PX 2 and running NVIDIA DriveWorks software, the Q7 uses deep neural networks – specifically, NVIDIA PilotNet, which recognizes and understands its changing environment while driving safely. The course will be modified during the demonstration, and features a variety of road surfaces, with and without lane markings, and a simulated construction zone requiring a detour.
In his keynote, Huang addressed how AI will anticipate the driver’s needs – driving to the office in the morning and home at night, automatically opening and closing the garage door, and adjusting the climate to the individual’s preferences, as well as being able to understand and respond to requests in a natural conversational language.
NVIDIA and Audi first appeared together at CES seven years ago and announced a technology partnership that has steadily expanded. The results include the award-winning Audi MMI navigation and the Audi virtual cockpit, currently available across a wide range of the automaker’s sedans, SUVs and sports cars. In the coming months, Audi will roll out its new A8, the world’s first Level 3 automated vehicle with its Traffic Jam Pilot system, powered by Audi zFAS, which integrates NVIDIA hardware and software.
CES 2017: AI Car Partners – NVIDIA keynote part 7
NVIDIA CEO Jen-Hsun Huang announces top automotive suppliers Bosch and ZF will use the NVIDIA DRIVE PX AI car computer to develop autonomous vehicle technology. He’s joined on stage by Audi of America President Scott Keogh to announce the companies’ collaboration to bring self-driving cars to market by 2020.
— NVIDIA (@nvidia) 5 janvier 2017
Source et images :
screens via NVIDIA Keynote CES 2017