Sunday, July 22, 2018
Search
  
Submit your own News for
inclusion in our Site.
Click here...
Breaking News
Samsung to Showcase Large QLED, microLED TVs Net Year
Google, Facebook, Microsoft, and Twitter Partner on New Data Project
Foxconn Breaks Ground in In Wisconsin Plant, Looks at AI and Beyond Apple
Western Digital and Toshiba Begin Sampling 96-layer QLC NAND
Cloud Services Keep Boosting Microsoft's Revenue
Comcast Won't Pursuit Fox assets, Focuses on Sky Offer
EU to Probe Qualcomm Over Pricing Case
Google's Project Fuchsia Could Be The Successor of Android Successor to Android
Active Discussions
Which of these DVD media are the best, most durable?
How to back up a PS2 DL game
Copy a protected DVD?
roxio issues with xp pro
Help make DVDInfoPro better with dvdinfomantis!!!
menu making
Optiarc AD-7260S review
cdrw trouble
 Home > News > General Computing > Intel a...
Last 7 Days News : SU MO TU WE TH FR SA All News

Wednesday, October 18, 2017
Intel and Mobileye Offer Present Algorithms to Prove the Safety of Autonomous Vehicles


Intel and Mobileye have developed a system it says ensures that self-driving vehicles can't cause accidents where they are at fault, an effort to reassure a skeptical public and bring driverless cars on the road faster.

Speaking at the World Knowledge Forum in Seoul, South Korea, professor Amnon Shashua, Mobileye CEO and Intel senior vice president, offered the autonomous driving industry a way to prove the safety of autonomous vehicles. His solution, published in an academic paper, provides a formal, mathematical formula to ensure that a self-driving vehicle operates in a responsible manner and does not cause accidents for which it can be blamed.

Mobileye, an Intel company, is the world's largest supplier of cameras for advanced driver assistance systems (ADAS). Shashua and his colleague Shai Shalev-Shwartz developed a mathematical formula that can bring certainty to the open questions of liability and blame in the event of an accident when a vehicle has no human driver.

Their proposed Responsibility Sensitive Safety model provides specific and measurable parameters for the human concepts of responsibility and caution and defines a "Safe State," where the autonomous vehicle cannot be the cause of an accident, no matter what action is taken by other vehicles.

To illustrate what Intel has in mind, under the guidelines a robot vehicle would move past parked cars at a speed slow enough to make sure it could stop in time to avoid a pedestrian who suddenly stepped out into the road. That calculation is possible because we know the maximum speed at which a human can move and can model it, according to Intel. Similarly, computers can easily calculate the safe stopping distance to a vehicle in front and make sure the vehicle they're piloting stays far enough away. If an aggressive human driver cuts in front of the robot car and causes an accident, the standards would clearly show who's fault it was, even if the machine-driven car rear-ended the other vehicle.

In his talk, Shashua called upon the industry and policymakers to "collaboratively construct standards that definitively assign accident fault" when human-driven and self-driving vehicles inevitably collide. He explained that all the rules and regulations today are framed around the idea of a driver in control of the car and that new parameters are needed for autonomous vehicles.

Shashua explained: "The ability to assign fault is the key. Just like the best human drivers in the world, self-driving cars cannot avoid accidents due to actions beyond their control. But the most responsible, aware and cautious driver is very unlikely to cause an accident of his or her own fault, particularly if they had 360-degree vision and lightning-fast reaction times like autonomous vehicles will."

The RSS model formalizes this in a way that ensures self-driving cars will operate only within the framework defined as "safe" according to clear definitions of fault that are agreed upon across the industry and by regulators.

Intel is one of several component makers that see the increasing need for computing in vehicles, caused by the move toward autonomy, as a new growth market. While car makers, their suppliers and companies such as Uber Technologies and Alphabet's Waymo are conducting on-the-road tests, Intel and its rivals need the industry to move beyond trials and into production to get a return on the dollars they're pouring into research and development.



Previous
Next
Globalfoundries and Intel to Talk About 10, 7nm at IEDM        All News        Chinese BOE and CSOT to Invest in Japanese JOLED, Adding Pressure to South Korean Rivals
Globalfoundries and Intel to Talk About 10, 7nm at IEDM     General Computing News      Chinese BOE and CSOT to Invest in Japanese JOLED, Adding Pressure to South Korean Rivals

Get RSS feed Easy Print E-Mail this Message

Related News
Micron and Intel to End Their 3D XPoint Joint Development Partnership
Microsoft Calls for Public Regulation of AI Face Recognition Software
Intel to Buy eASIC to Expand Its Portfolio Beyond Processors
New Intel Xeon E-2100 Processor Targets Entry-level Workstations
Daimler, Bosch to Use NVIDIA DRIVE for Robotaxi Fleets
Facebook Launches AR Ads
Samsung Wins at Two Top Global AI Machine Reading Comprehension Challenges
Baidu Unveils High-Performance Kunlun AI Chip, AI Partnerships With Intel
Intel May Lose Apple as a Modem Client for the iPhones
Samsung Keeps The Lead in the Semiconductor Market, followed by Intel and SK Hynix
AI Algorithms Crushed Human Players in Dota 2 Video Game
AMD's 7nm Processors to Compete With Intel's 10nm Chips

Most Popular News
 
Home | News | All News | Reviews | Articles | Guides | Download | Expert Area | Forum | Site Info
Site best viewed at 1024x768+ - CDRINFO.COM 1998-2018 - All rights reserved -
Privacy policy - Contact Us .