Nvidia Car Learns To Drive By Watching Humans

...

There is a renewed focus on risk data aggregation and reporting (RDAR) solutions, as financial ins

With a convolutional neural network, Nvidia researchers have trained a car to drive using video captured during road trips taken by people.

Nvidia researchers have created a convolutional neural network which has learned the rules of the road by observing video from cars operated by human drivers.

The achievement demonstrates one reason there's so much excitement about artificial intelligence in the tech industry at the moment: When AI systems can learn, they require less programming.

Danny Shapiro, Nvidia's senior director of automotive, said in a blog post that the company wanted to create a robust system for driving on public roads without the need to write code to handle every specific condition a driver might encounter, a requirement he considers impractical.

Nvidia's nine-month-old project, dubbed DAVE2, represents an effort to expand on DARPA Autonomous Vehicle (DAVE) research, which aimed to create a system that could navigate public roads. DAVE ran from September 2003 through June 2004. Its success, given the standards of the time, led to further advancements in robotic navigation.

Using an Nvidia DevBox (a workstation with GPUs optimized for machine learning), Torch 7 (a machine-learning library), and an Nvidia DRIVE PX self-driving car computer, company researchers mapped the pixels of videos from a car's front-facing camera to steering commands.

"With minimum training data from humans, the system learns to drive in traffic on local roads with or without lane markings and on highways," Nvidia researchers explained in a paper describing the project. "It also operates in areas with unclear visual guidance, such as in parking lots and on unpaved roads."

The Nvidia team presented DAVE2 with about 72 hours of training data captured while a human driver traversed a variety of roads, mainly in New Jersey, but also in Illinois, Michigan, New York, and Pennsylvania, during a range of weather and lighting conditions.

After testing DAVE2 in a simulator, the team took it for a spin on public roads.

The original DAVE was a poor driver by today's standards. According to Nvidia's researchers, it could typically travel about 20 meters in complex environments before crashing. DAVE2 does a lot better.

"For a typical drive in Monmouth County, N.J., from our office in Holmdel to Atlantic Highlands, we are autonomous approximately 98% of the time," the researchers said. "We also drove 10 miles on the Garden State Parkway (a multi-lane divided highway with on- and off-ramps) with zero intercepts."

Advancements in deep learning have also taught Nvidia to see itself in a different light. The unexpected utility of GPU-powered number crunching for AI applications has helped Nvidia look beyond graphics and gaming applications toward a more central role in the computing industry.

As Yann LeCun, director of AI research for Facebook, put it last year, "It's amazing to me that so many leading companies, such as Nvidia, are changing their strategy because of deep learning and convolutional [neural] nets!"

Earlier this year, Jen-Hsun Huang, co-founder and CEO of Nvidia, described deep learning as  "a fundamentally new software model" and said his company is "betting that GPU-accelerated computing is the horse to ride."

Better still, it could be the self-driving car to ride.

Categories
APPLICATIONS
0 Comment

Leave a Reply

Captcha image


RELATED BY

  • 5300c769af79e

    Rio Olympics Has IT Managers Worried About Network Capacity

    A survey sponsored by Riverbed and conducted by Wakefield Research finds corporate networks will be tested as the 2016 Summer Olympics get underway in Rio.Nearly everyone has their favorite events to watch over the coming week, which poses the question: How should network managers anticipate what the effect of that will be?
  • 5300c769af79e

    Microsoft SharePoint App Now On iOS

    The new SharePoint app for iOS gives users quick access to their team sites, content, organization portals, and resources.He noted the company is investing in responsive design by default for services including Office 365, Delve, and Office 365 Video.
  • 5300c769af79e

    Cyber security and packet capture: making the connection

    Download With the recent Yahoo data breach, we still do not have the details of the attack and are therefore, yet to know about the resulting implications for the 500million users that it will affect.When cyber attacks happen, extracting information related to the attack from the servers, networks and applications scattered across many different locations is a huge hindrance for organizations.
  • 5300c769af79e

    OnePlus Announces the OnePlus 3, Available Today for $399

    The OnePlus 3 is now official, available starting today for $399.Other specifications for the OnePlus 3 include a 16MP rear-facing camera, 8MP front-facing camera, fingerprint reader on the bottom chin, an Alert Slider, Dash Charge, as well as a 3,000mAh built-in battery.