Coming to a Desktop Near You: The Future of Self-Driving

There has never been a better time to learn how AI will transform the way people, goods and services move.

During GTC Digital, anyone can experience the latest developments in AI technology for free, from the comfort of their own home. Hundreds of expert talks and training sessions covering autonomous vehicles, robotics, healthcare, finance and more will soon be available at the click of a button.

Beginning March 25, GTC Digital attendees can tune in to sessions hosted by autonomous driving leaders from Ford, Toyota, Zoox and more, as well as receive virtual training from NVIDIA experts on developing AI for self-driving.

Check out what’s in store for the NVIDIA autonomous vehicle ecosystem.

Learn from Leaders

GTC Digital talks let AI experts and developers delve into their latest work, sharing key insights on how to deploy intelligent vehicle technology.

This year’s automotive speakers are covering the latest topics in self-driving development, including AI training, simulation and software.

  • Neda Cvijetic, senior manager of Autonomous Vehicles at NVIDIA, will apply an engineering focus to widely acknowledged autonomous vehicle challenges, and explain how NVIDIA is tackling them. This session will air live with a question-and-answer segment to follow.
  • Clement Farabet, vice president of AI Infrastructure at NVIDIA, will discuss NVIDIA’s end-to-end AI platform for developing NVIDIA DRIVE software. This live talk will cover how to scale the infrastructure to train self-driving deep neural networks and include a Q&A session.
  • Tokihiko Akita, project research fellow, Toyota Technical Institute, will detail how deep neural networks can be used for autonomous vehicle object recognition and tracking in adverse weather with millimeter-wave radar sensors.
  • Nikita Jaipuria, research scientist for computer vision and machine learning, and Rohan Bhasin, research engineer, both at Ford Motor Company, will discuss in their April 2 session how to leverage generative adversarial networks to create synthetic data for autonomous vehicle training and validation.
  • Zejia Zheng and Jeff Pyke, software engineers at Zoox, will outline the Zoox TensorRT conversion pipeline to optimize deep neural network deployment on high-performance NVIDIA GPUs.

Virtual Hands-On Training

Developers will also get a chance to dive deeper into autonomy with NVIDIA Deep Learning Institute courses as well as interact virtually with experts in autonomous vehicle development.

DLI will offer a variety of instructor-led training sessions addressing the biggest developer challenges in areas such as autonomous vehicles, manufacturing and robotics. Receive intensive instruction on topics such as autonomous vehicle perception and sensor integration in our live sessions this April.

Get detailed answers to all your development questions in our Connect with Experts sessions on intelligent cockpits, autonomous driving software development and validation and more with NVIDIA’s in-house specialists.

Register to access these sessions and more for free and receive the latest updates on GTC Digital.

The post Coming to a Desktop Near You: The Future of Self-Driving appeared first on The Official NVIDIA Blog.

Coming to a Desktop Near You: The Future of Self-Driving

To understand how AI will transform the way people, goods and services move, you don’t need to go farther than your desktop. During GTC Digital, anyone can experience the latest developments in AI technology for free, from the comfort of their own home. Hundreds of expert talks and training sessions covering autonomous vehicles, robotics, healthcare, finance and Read article >

The post Coming to a Desktop Near You: The Future of Self-Driving appeared first on The Official NVIDIA Blog.

Hail Yeah! How Robotaxis Will Change the Way We Move

From pedicabs to yellow cabs, hailing rides has been a decades-long convenience. App-based services like Uber and Lyft have made on-demand travel even faster and easier.

With the advent of autonomous vehicles, ride-hailing promises to raise the bar on safety and efficiency. Known as robotaxis, these shared vehicles are purpose-built for transporting groups of people along optimized routes, without a human driver at the wheel.

The potential for a shared autonomous mobility industry is enormous. Financial services company UBS estimates that robotaxis could create a $2 trillion market globally over the next decade, with each vehicle generating as much as $27,000 annually.

In dense urban environments, like New York City, experts project that a taxi fleet converted to entirely autonomous vehicles could cut down commutes in some areas from 40 minutes to 15.

On top of the economic and efficiency benefits, autonomous vehicles are never distracted or drowsy. And they can run 24 hours a day, seven days a week, expanding mobility access to more communities.

To transform everyday transportation, the NVIDIA DRIVE ecosystem is gearing up with a new wave of electric, autonomous vehicles.

Up for Cabs

Building a new kind of vehicle from square one requires a fresh perspective. That’s why a crop of startups and technology companies have begun to invest in the idea of a shared car without a steering wheel or pedals.

Already transporting riders in Florida and San Jose, Calif. retirement communities, Voyage is deploying low-speed autonomous vehicles with the goal of widely expanding safe mobility. The company is using DRIVE AGX to operate its SafeStop supercharged automatic braking system in its current fleet of vehicles.

Optimus Ride is a Boston-based self-driving technology company developing systems for geo-fenced environments — pre-defined areas of operation, like a city center or shipping yard.

Its electric, autonomous vehicles run on the high-performance, energy-efficient NVIDIA DRIVE platform, and were the first such vehicles to run in NYC as part of a pilot launched in August.

Optimus Ride

Leveraging the performance of NVIDIA DRIVE AGX Pegasus, which can achieve up to 320 trillion operations per second, smart mobility startup WeRide is developing level 4 autonomous vehicles to provide accessible transportation to a wide range of passengers.

Starting from scratch, self-driving startup and DRIVE ecosystem member Zoox is developing a purpose-built vehicle for on-demand, autonomous transportation. Its robotaxi encompasses a futuristic vision of everyday mobility, able to drive in both directions.

Zoox says it plans to launch its zero-emissions vehicle for testing this year, followed by an autonomous taxi service.

At GTC China in December, ride-hailing giant Didi Chuxing announced it was developing level 4 autonomous vehicles for its mobility services using NVIDIA DRIVE and AI technology. Delivering 10 billion passenger trips per year, DiDi is working toward the safe, large-scale application of autonomous driving technology.

DiDi

Sharing Expertise for Shared Mobility

When it comes to industry-changing innovations, sometimes two (or three) heads are better than one.

Global automakers, suppliers and startups are also working to solve the question of shared autonomous mobility, collaborating on their own visions of the robotaxi of the future.

In December, Mercedes-Benz parent company Daimler and global supplier Bosch launched the first phase of their autonomous ride-hailing pilot in San Jose. The app-based service shuttles customers in an automated Mercedes-Benz S-Class monitored by a safety driver.

The companies are collaborating with NVIDIA to eventually launch a robotaxi powered by NVIDIA DRIVE AGX Pegasus.

Daimler

Across the pond, autonomous vehicle solution provider AutoX and Swedish electric vehicle manufacturer NEVS are working to deploy robotaxis in Europe by the end of this year.

The companies, which came together through the NVIDIA DRIVE ecosystem, are developing an electric autonomous vehicle based on NEVS’ mobility-focused concept and powered by NVIDIA DRIVE. The goal of this collaboration is to bring these safe and efficient technologies to everyday transportation around the world.

Startup Pony.AI is also collaborating with global automakers such as Toyota and Hyundai, developing a robotaxi fleet with the NVIDIA DRIVE AGX platform at its core.

As the NVIDIA DRIVE ecosystem pushes into the next decade of autonomous transportation, safer, more convenient rides will soon just be a push of a button away. At GTC 2020, attendees will get a glimpse to just where this future is going — register today with code CMAUTO for a 20 percent discount.

The post Hail Yeah! How Robotaxis Will Change the Way We Move appeared first on The Official NVIDIA Blog.

Hail Yeah! How Robotaxis Will Change the Way We Move

From pedicabs to yellow cabs, hailing rides has been a decades-long convenience. App-based services like Uber and Lyft have made on-demand travel even faster and easier. With the advent of autonomous vehicles, ride-hailing promises to raise the bar on safety and efficiency. Known as robotaxis, these shared vehicles are purpose-built for transporting groups of people Read article >

The post Hail Yeah! How Robotaxis Will Change the Way We Move appeared first on The Official NVIDIA Blog.

2020 Vision: See the Future of Transportation at GTC

The next decade of autonomous transportation is just starting to come into focus. GTC attendees will be among the first to see what’s new for safer, more efficient mobility.

The NVIDIA GPU Technology Conference in San Jose, Calif., draws autonomous vehicle developers, researchers, press and analysts from around the world. The annual event is a forum to exhibit and discuss innovations in AI-powered transportation, as well as to form lasting connections across the industry.

This March, NVIDIA CEO Jensen Huang will kick off GTC with a keynote address on the rapid growth of AI computing, mapping out how GPU-powered technology is changing the automotive industry in addition to healthcare, robotics, retail and more.

Attendees will get the opportunity to dive deeper into these topics in dedicated sessions, as well as experience them firsthand on the exhibit floor. NVIDIA experts will also be onsite for hands-on training and networking events.

Expert AI Sight

GTC talks let AI experts and developers delve into their latest work, sharing key insights on how to deploy intelligent vehicle technology. The automotive speakers for GTC 2020 represent nearly every facet of the industry — including automakers, suppliers, startups and universities — and will cover a diversity of topics sure to satisfy any autonomous driving interest.

TuSimple founder and president Xiaodi Hou hosts a session on autonomous trucking at GTC 2019.

Here’s a brief look at some of the 40+ automotive sessions at GTC 2020:

  • Nikita Jaipuria, research scientist for computer vision and machine learning, and Rohan Bhasin, research engineer, both at Ford Motor Company, will discuss how to leverage generative adversarial networks to create synthetic data for autonomous vehicle training and validation.
  • Mate Rimac, CEO of Rimac, will outline how AI is transforming performance vehicles, from advanced driver assistance to intelligent coaching to bringing a video game-like experience to the track.
  • Wadim Kehl, research scientist, and Arjun Bhargava, machine learning engineer, both at Toyota Research Institute, will detail how they’ve combined PyTorch with NVIDIA TensorRT to strike the delicate balance of algorithm complexity, data management and energy efficiency needed for safe self-driving operation.
  • Neda Cvijetic, senior manager of Autonomous Vehicles at NVIDIA, will apply an engineering focus to widely acknowledged autonomous vehicle challenges, including drivable path perception and handling intersections, and then explain how NVIDIA is tackling them.

Zoom In 

Developers at GTC will also get a chance to dive deeper into autonomy with NVIDIA Deep Learning Institute courses as well as interact with experts in autonomous vehicle development.

Throughout the week, DLI will offer more than 60 instructor-led training sessions, 30 self-paced courses and six full-day workshops addressing the biggest developer challenges in areas such as autonomous vehicles, manufacturing and robotics.

Stuck in a self-driving rut? Visit our Connect with Experts sessions on intelligent cockpits, vehicle perception, autonomous driving software development and more to ask NVIDIA’s in-house specialists.

Not Just a Vision

The GTC exhibit hall will be the place to see and interact with autonomous driving technology firsthand.

At the NVIDIA booth, attendees can watch NVIDIA DRIVE in action, including its various deep neural networks, simulation and DRIVE AGX platforms. The dedicated autonomous vehicle zone will feature the latest vehicles from the DRIVE ecosystem, which includes automakers, suppliers, robotaxi companies, truckmakers, sensor companies and software startups.

Autonomous driving software company AutoX showcased their self-driving prototype to attendees at GTC 2019.

GTC goers will get the exclusive chance to experience all this as well as learn about AI developments in industries such as healthcare, energy, finance and gaming with a variety of networking opportunities throughout the week.

Register in 2019 for GTC to take advantage of early bird pricing — the first 1,000 people to sign up for conference passes will get priority access to Huang’s keynote.

Mark your calendar for March 2020 and see for yourself how AI is changing the next decade of autonomous transportation.

The post 2020 Vision: See the Future of Transportation at GTC appeared first on The Official NVIDIA Blog.

2020 Vision: See the Future of Transportation at GTC

The next decade of autonomous transportation is just starting to come into focus. GTC attendees will be among the first to see what’s new for safer, more efficient mobility. The NVIDIA GPU Technology Conference in San Jose, Calif., draws autonomous vehicle developers, researchers, press and analysts from around the world. The annual event is a Read article >

The post 2020 Vision: See the Future of Transportation at GTC appeared first on The Official NVIDIA Blog.

Driving First Class: Mercedes-Benz Gives Ultra-Luxury, Performance the AI Treatment

AI is now riding in the lap of luxury. Mercedes-Benz just took the wraps off the much-anticipated Mercedes-Maybach GLS SUV — the largest model under the ultra-luxury brand today. The marquee feature of the vehicle’s interior is the MBUX intelligent cockpit, powered by NVIDIA. The debut, which took place at the Guangzhou Auto Show, follows Read article >

The post Driving First Class: Mercedes-Benz Gives Ultra-Luxury, Performance the AI Treatment appeared first on The Official NVIDIA Blog.

Driving First Class: Mercedes-Benz Gives Ultra-Luxury, Performance the AI Treatment

AI is now riding in the lap of luxury.

Mercedes-Benz just took the wraps off the much-anticipated Mercedes-Maybach GLS SUV — the largest model under the ultra-luxury brand today. The marquee feature of the vehicle’s interior is the MBUX intelligent cockpit, powered by NVIDIA.

The debut, which took place at the Guangzhou Auto Show, follows the launches of the automaker’s latest performance SUVs — the Mercedes-GLS AMG 63 and the Mercedes-GLE AMG 63 S — on the other side of the globe at the Los Angeles Auto Show. Both models will also feature MBUX.

With these three latest additions, there are now nearly 20 Mercedes models — including the all-electric EQC SUV — equipped with MBUX, kickstarting the transition to more intelligent transportation.

High Intelligence for the High Class

The Mercedes-Maybach GLS was designed with comfort, convenience and the utmost decadence in mind. While passengers recline in the spacious rear massaging seats, they can enjoy champagne chilled in the console’s fridge and take in the vehicle’s dedicated white osmanthus blossom fragrance.

And the luxury doesn’t end with the ride. The SUV automatically lowers when passengers enter and exit, for the smoothest experience possible.

The pièce de résistance, however, is up front, with the AI-powered MBUX infotainment system. MBUX combines natural language processing, silky-smooth 3D graphics and an augmented reality boosted navigation system to bring new levels of intuitive interaction and safety to the vehicle. To achieve this, Mercedes-Benz uses NVIDIA technology with the highest performance any automaker has ever shipped in an infotainment system.

MBUX is also updateable over the air, able to add new capabilities in the future to ensure passengers are always on the forefront with the latest connected features and apps.

Smart Performance

AI also enhances the experience for the performance-minded driver. The Mercedes-AMG GLS 63 and GLE 63 S are the first-in-class vehicles for luxury performance in an SUV package.

Launched at the LA Auto Show, these sporty models turned the heads of press and auto enthusiasts alike. The GLS 63’s 4.0-liter V8 biturbo engine packs 603 horsepower, with greater dynamic capabilities courtesy of AMG Active Ride Control air suspension and AMG Performance 4Matic+ all-wheel drive.

The GLE 63 S features advanced off-road capabilities, enabling adventurous drivers to seamlessly go from paved road to trails and sand.

Both models enhance the driving experience further with MBUX. The NVIDIA-powered system delivers all the information drivers need via a smooth, easy-to-understand interface spread across two 10.25-inch digital displays. A combination of 3D graphics and augmented reality navigation offer a comprehensive cockpit display, so drivers always know what’s on the road ahead.

The system understands verbal commands using AI-powered natural language processing, facilitating effortless interactions between the driver, passengers and the car.

Whether passengers are living the high life in the backseat, or blazing new paths in the driver’s seat, MBUX delivers the most intelligent experience to vehicles on the market today.

The post Driving First Class: Mercedes-Benz Gives Ultra-Luxury, Performance the AI Treatment appeared first on The Official NVIDIA Blog.

Transportation’s Capital: Autonomous Vehicles Get a Move on at GTC DC

Neither snow nor rain nor heat nor gloom of night stays the coming of autonomous vehicle technology, according to the U.S. Postal Service.

The USPS Wednesday discussed the results of its autonomous mail delivery pilot with NVIDIA DRIVE ecosystem member TuSimple at GTC DC.

The discussion follows the announcement earlier this week that the USPS — the world’s largest delivery service — will use NVIDIA end-to-end AI technology for mail processing.

The intersection of transportation, public policy, and AI was a major focus at this week’s conference, which brought more than 3,500 government officials, technology experts, media and analysts together this week in the nation’s capital.

Amid discussions on the integration of AI into industries like healthcare, robotics and education, attendees agreed on one trend: safer, more efficient transportation is well underway.

Brent Raney, director of surface transportation at USPS, said the human-supervised autonomous trucks delivered mail on its Dallas-Phoenix route up to two hours faster than the typical human driver.

TuSimple’s trucks navigated tricky traffic situations during its autonomous pilot with the USPS.

Despite rain, construction zones and 40 mph crosswinds, the TuSimple trucks were able to navigate the route and consistently arrive earlier than expected.

And as the trucking industry faces growing driver shortages, self-driving vehicles are arriving just in time.

“For us, the sooner we can get to autonomy, the better,” Raney said.

Delivering Autonomy, Safely

The USPS isn’t the only delivery expert turning to AI-powered solutions. Volvo Group, one of the largest commercial vehicle manufacturers in the world, detailed how it is developing its next generation of autonomous trucks to ensure safer transportation.

Volvo Group is developing its next generation of vehicles, such as the Vera truck, for the autonomous era.

In June, the manufacturer announced that it’s using the NVIDIA DRIVE autonomous driving platform to train, test and deploy self-driving AI vehicles, targeting public transport, freight transport, refuse and recycling collection, construction, mining, forestry and more.

As part of this collaboration, Julia Ng, senior computer vision engineer at NVIDIA, spoke at GTC DC on how we’re prioritizing safety — which includes measures such as the Safety Force Field driving policy and the integration of diversity and redundancy at every level of the autonomous driving system.

Dawn Fenton, director of sustainability and public affairs at Volvo Group, joined Ng on stage and said the NVIDIA approach aligns with the manufacturer’s long-time legacy of safety in transportation.

“For this technology to be successful, we must be able to prove it’s safe,” Fenton said, adding that consumer education is a crucial step toward public road deployment.

Virtual Tools for Real-World Results

Other speakers shifted the conversation from the open road to virtual highways.

While public road drives are a key component of testing and validating autonomous vehicle technology, experts agreed that simulation is necessary to achieve the scale and variability needed to ensure safe operation.

NVIDIA DRIVE Constellation is a cloud-based solution that enables millions of miles to be driven in virtual environments across a broad range of scenarios — from routine driving to rare or even dangerous situations — with greater efficiency, cost-effectiveness and safety than what is possible in the real world.

Stefan Merkl, mobility manager at safety agency TÜV SÜD America, said platforms like DRIVE Constellation are critical to determining the capabilities of autonomous driving systems.

DRIVE Constellation is a hardware-in-the-loop simulation platform for safe and scalable autonomous vehicle validation.

“For functional safety, we need simulation,” Merkl said. “It allows us to achieve the scale and randomization needed for comprehensive validation.”

With the progress achieved thus far, and the vision and tools available for future development, this year’s GTC DC proved that coming autonomous transportation is truly a capital idea.

And there will be even more to explore next year. GTC Silicon Valley will host four days of broad-ranging autonomous vehicle discussions this March. Register here.

 

The post Transportation’s Capital: Autonomous Vehicles Get a Move on at GTC DC appeared first on The Official NVIDIA Blog.

Transportation’s Capital: Autonomous Vehicles Get a Move on at GTC DC

Neither snow nor rain nor heat nor gloom of night stays the coming of autonomous vehicle technology, according to the U.S. Postal Service. The USPS Wednesday discussed the results of its autonomous mail delivery pilot with NVIDIA DRIVE ecosystem member TuSimple at GTC DC. The discussion follows the announcement earlier this week that the USPS Read article >

The post Transportation’s Capital: Autonomous Vehicles Get a Move on at GTC DC appeared first on The Official NVIDIA Blog.