Patents by Inventor Jason C. Derenick

Jason C. Derenick has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Semantics based safe landing area detection for an unmanned vehicle
    Patent number: 9177481
    Abstract: A method for determining a suitable landing area for an aircraft includes receiving signals indicative of Light Detection And Ranging (LIDAR) information for a terrain via a LIDAR perception system; receiving signals indicative of image information for the terrain via a camera perception system; evaluating, with the processor, the LIDAR information and generating information indicative of a LIDAR landing zone candidate region; co-registering in a coordinate system, with the processor, the LIDAR landing zone candidate region and the image information; segmenting, with the processor, the co-registered image and the LIDAR landing zone candidate region to generate segmented regions; classifying, with the processor, the segmented regions into semantic classes; determining, with the processor, contextual information in the semantic classes; and ranking and prioritizing the contextual information.
    Type: Grant
    Filed: December 13, 2013
    Date of Patent: November 3, 2015
    Assignee: SIKORSKY AIRCRAFT CORPORATION
    Inventors: Hongcheng Wang, Ziyou Xiong, Jason C. Derenick, Christopher Stathis, Igor Cherepinsky
  • SEMANTICS BASED SAFE LANDING AREA DETECTION FOR AN UNMANNED VEHICLE
    Publication number: 20150170526
    Abstract: A method for determining a suitable landing area for an aircraft includes receiving signals indicative of Light Detection And Ranging (LIDAR) information for a terrain via a LIDAR perception system; receiving signals indicative of image information for the terrain via a camera perception system; evaluating, with the processor, the LIDAR information and generating information indicative of a LIDAR landing zone candidate region; co-registering in a coordinate system, with the processor, the LIDAR landing zone candidate region and the image information; segmenting, with the processor, the co-registered image and the LIDAR landing zone candidate region to generate segmented regions; classifying, with the processor, the segmented regions into semantic classes; determining, with the processor, contextual information in the semantic classes; and ranking and prioritizing the contextual information.
    Type: Application
    Filed: December 13, 2013
    Publication date: June 18, 2015
    Applicant: Sikorsky Aircraft Corporation
    Inventors: Hongcheng Wang, Ziyou Xiong, Jason C. Derenick, Christopher Stathis, Igor Cherepinsky