All
Suppliers
Products
CAD Models
Diverse Suppliers
Insights
By Category, Company or Brand
All Regions
Alabama
Alaska
Alberta
Arizona
Arkansas
British Columbia
California - Northern
California - Southern
Colorado
Connecticut
Delaware
District of Columbia
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Manitoba
Maryland
Massachusetts - Eastern
Massachusetts - Western
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Brunswick
New Hampshire
New Jersey - Northern
New Jersey - Southern
New Mexico
New York - Metro
New York - Upstate
Newfoundland & Labrador
North Carolina
North Dakota
Northwest Territories
Nova Scotia
Nunavut
Ohio - Northern
Ohio - Southern
Oklahoma
Ontario
Oregon
Pennsylvania - Eastern
Pennsylvania - Western
Prince Edward Island
Puerto Rico
Quebec
Rhode Island
Saskatchewan
South Carolina
South Dakota
Tennessee
Texas - North
Texas - South
Utah
Vermont
Virgin Islands
Virginia
Washington
West Virginia
Wisconsin
Wyoming
Yukon

Autonomous Vehicle Add-On for OEMs

Subscribe
Autonomous Vehicle Add-On for OEMs

While the first thoughts of applying driverless technology tend to slant towards on-road cars, trucks, and semis, perhaps the greatest potential for this technology lies in the off-road and agricultural sectors. To this end, Danfoss Power Solutions recently unveiled the Danfoss Autonomous Vehicle Integration System, or DAVIS, as a platform that allows OEMs to add autonomous vehicle capabilities to off-highway machines.

Described as an “exploration project” for Danfoss, DAVIS is seen as a way for the company to build off of capabilities that they’ve already unveiled, such as remote-control steering. DAVIS integrates the company’s legacy knowledge of hydraulics, electronics, sensors and cloud-based command interfaces. More specific features of DAVIS will include:

  • Connectivity. DAVIS is connected to a cloud-based command interface for controls and data analytics. This connectivity allows for controlling the machine from anywhere and collecting data that could help improve uptime and productivity.
  • Localized algorithms that allow for the use of local maps in identifying drivable areas and evaluating local driving conditions.
  • Obstacle detection. Multiple sensors can detect stationary and active obstacles in the vehicle’s path, improving safety.
  • Sensor fusion. Multiple sensors combine global and local positioning data for a more accurate location reading.
  • Intelligent control. Multiple levels of machine control interface are provided through an easy-to-use PLUS+1 platform. This platform allows OEMs to leverage legacy Danfoss data in optimizing sensor integration. 
Next Up in Manufacturing & Innovation
NASA Stresses “Inclusive Funding” in Latest Contract Awards
Show More in Manufacturing & Innovation