element14 Community
element14 Community
    Register Log In
  • Site
  • Search
  • Log In Register
  • Community Hub
    Community Hub
    • What's New on element14
    • Feedback and Support
    • Benefits of Membership
    • Personal Blogs
    • Members Area
    • Achievement Levels
  • Learn
    Learn
    • Ask an Expert
    • eBooks
    • element14 presents
    • Learning Center
    • Tech Spotlight
    • STEM Academy
    • Webinars, Training and Events
    • Learning Groups
  • Technologies
    Technologies
    • 3D Printing
    • FPGA
    • Industrial Automation
    • Internet of Things
    • Power & Energy
    • Sensors
    • Technology Groups
  • Challenges & Projects
    Challenges & Projects
    • Design Challenges
    • element14 presents Projects
    • Project14
    • Arduino Projects
    • Raspberry Pi Projects
    • Project Groups
  • Products
    Products
    • Arduino
    • Avnet Boards Community
    • Dev Tools
    • Manufacturers
    • Multicomp Pro
    • Product Groups
    • Raspberry Pi
    • RoadTests & Reviews
  • Store
    Store
    • Visit Your Store
    • Choose another store...
      • Europe
      •  Austria (German)
      •  Belgium (Dutch, French)
      •  Bulgaria (Bulgarian)
      •  Czech Republic (Czech)
      •  Denmark (Danish)
      •  Estonia (Estonian)
      •  Finland (Finnish)
      •  France (French)
      •  Germany (German)
      •  Hungary (Hungarian)
      •  Ireland
      •  Israel
      •  Italy (Italian)
      •  Latvia (Latvian)
      •  
      •  Lithuania (Lithuanian)
      •  Netherlands (Dutch)
      •  Norway (Norwegian)
      •  Poland (Polish)
      •  Portugal (Portuguese)
      •  Romania (Romanian)
      •  Russia (Russian)
      •  Slovakia (Slovak)
      •  Slovenia (Slovenian)
      •  Spain (Spanish)
      •  Sweden (Swedish)
      •  Switzerland(German, French)
      •  Turkey (Turkish)
      •  United Kingdom
      • Asia Pacific
      •  Australia
      •  China
      •  Hong Kong
      •  India
      •  Korea (Korean)
      •  Malaysia
      •  New Zealand
      •  Philippines
      •  Singapore
      •  Taiwan
      •  Thailand (Thai)
      • Americas
      •  Brazil (Portuguese)
      •  Canada
      •  Mexico (Spanish)
      •  United States
      Can't find the country/region you're looking for? Visit our export site or find a local distributor.
  • Translate
  • Profile
  • Settings
Test & Tools
  • Technologies
  • More
Test & Tools
Blog X-Ray Vision: The Future of Autonomous Vehicles
  • Blog
  • Forum
  • Documents
  • Files
  • Members
  • Mentions
  • Sub-Groups
  • Tags
  • More
  • Cancel
  • New
Join Test & Tools to participate - click to join for free!
  • Share
  • More
  • Cancel
Group Actions
  • Group RSS
  • More
  • Cancel
Engagement
  • Author Author: Catwell
  • Date Created: 13 Nov 2020 7:26 PM Date Created
  • Views 1187 views
  • Likes 3 likes
  • Comments 3 comments
  • electric vehicle
  • research
  • ev
  • autonomous_vehicles
  • on_campus
  • cabeatwell
  • ai
  • university
  • sensor
  • innovation
Related
Recommended

X-Ray Vision: The Future of Autonomous Vehicles

Catwell
Catwell
13 Nov 2020

image

A new technology could make autonomous vehicles a lot safer and speed up their commercialization. Demo of the new technology showing the laser scanning through the foam wall. (Image credit: Nature)

 

With electric vehicles growing in popularity and autonomous vehicles still in development, we can imagine that the future of the automobile industry will be bright - and hands-free. However, there are still a few concerns surrounding the safety of passengers or passersby when autonomous vehicles hit the road. To offer a solution, a team of researchers at Stanford University invented a device that operates like an X-ray vision, but without the X-rays, to help autonomous vehicles identify objects surrounding them in difficult/hard-to-navigate weather conditions.

 

Researchers started with what is already available to achieve their goals: the system that allows autonomous vehicles to "read" their surroundings. The research team reinforced the system capabilities with a new algorithm that would analyze the movements of particles of photons in 3-dimensional situations in order to re-build the scenes. To recreate the conditions of a foggy night, researchers used a 1-inch-thick foam wall, placed the new system on one side of the wall and the objects to be detected on the opposite side. Part of the system is a laser-photon detector combo that is so sensitive that it catches every particle of a photon that hits the laser. While the laser runs through the foam wall, photons from the object behind the wall try to cross the wall, and those are the particles the detector counts. Then, the new software uses the photon count to interpret the shape of the object. The whole process's duration varies depending on the brightness of the object on the other side of the wall.

 

With that, the system accurately reconstructed the forms of the objects on the other side of the foam wall, which the human eye wouldn't have been able to do. The image perceived through the wall is the true 3-D version of the objects. The only beings we know of who can see through walls are superheroes who are usually beings from another planet, and that is probably why Gordon Wetzstein, an expert in electrical engineering and member of the research team, considered this kind "vision" to be superhuman. Although this system is not the first of its kind, it is a significant improvement of the existing solutions because it requires fewer inputs to functions than other systems.

The research team's vision is that their new creation would be useful in other fields, such as space exploration or meteorology. For now, it is important to test the system on the roads and in all possible difficult weather conditions before we start thinking of the other areas that can benefit from this technology.

 

Have a story tip? Message me at: http://twitter.com/Cabe_Atwell

  • Sign in to reply

Top Comments

  • DAB
    DAB over 4 years ago +1
    Millimeter wave radar is slowly maturing to the point where you can get a level of penetration through most common phenomena like fog. The obstruction to visible and infrared light confuses most of the…
  • DAB
    DAB over 4 years ago in reply to Catwell

    About forty years ago I saw an experimental system using a pulsed laser and image sensor.

    By using range gates, you could look through fog or aerosols over distances.

    We could easily see through fog and smoke.

     

    DAB

    • Cancel
    • Vote Up 0 Vote Down
    • Sign in to reply
    • More
    • Cancel
  • Catwell
    Catwell over 4 years ago in reply to DAB

    Let's hope they figure it out.

     

    I drove through fog so thick I couldn't see past the hood. Anything to handle those situations would be wonderful.

    • Cancel
    • Vote Up 0 Vote Down
    • Sign in to reply
    • More
    • Cancel
  • DAB
    DAB over 4 years ago

    Millimeter wave radar is slowly maturing to the point where you can get a level of penetration through most common phenomena like fog.

    The obstruction to visible and infrared light confuses most of the sensors used for autonomous driving.

    The milimeter wave sensor penetrate the normal set of obstructions to provide clear visibility ahead. An ability that is essential if autonomous vehicles are to thrive.

     

    DAB

    • Cancel
    • Vote Up +1 Vote Down
    • Sign in to reply
    • More
    • Cancel
element14 Community

element14 is the first online community specifically for engineers. Connect with your peers and get expert answers to your questions.

  • Members
  • Learn
  • Technologies
  • Challenges & Projects
  • Products
  • Store
  • About Us
  • Feedback & Support
  • FAQs
  • Terms of Use
  • Privacy Policy
  • Legal and Copyright Notices
  • Sitemap
  • Cookies

An Avnet Company © 2025 Premier Farnell Limited. All Rights Reserved.

Premier Farnell Ltd, registered in England and Wales (no 00876412), registered office: Farnell House, Forge Lane, Leeds LS12 2NE.

ICP 备案号 10220084.

Follow element14

  • X
  • Facebook
  • linkedin
  • YouTube