The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 31, 2018

Filed:

Apr. 06, 2016
Applicant:

Omniscience Corporation, Sunnyvale, CA (US);

Inventor:

Manu Shukla, Sterling, VA (US);

Assignee:

Omniscience Corporation, Sunnyvale, CA (US);

Attorney:
Int. Cl.
CPC ...
G01C 23/00 (2006.01); B64C 39/02 (2006.01); G08G 5/00 (2006.01);
U.S. Cl.
CPC ...
B64C 39/024 (2013.01); G08G 5/006 (2013.01); G08G 5/0013 (2013.01); G08G 5/0026 (2013.01); G08G 5/0034 (2013.01); G08G 5/0069 (2013.01); B64C 2201/12 (2013.01); B64C 2201/141 (2013.01);
Abstract

Drones have become ubiquitous in performing risky and labor intensive areal tasks cheaply and safely. To allow them to be autonomous, their flight plan needs to be pre-built for them. Existing works do not precalculate flight paths but instead focus on navigation through camera based image processing techniques, genetic or geometric algorithms to guide the drone during flight. That makes flight navigation complex and risky. We present automated flight plan builder DIFPL which pre-builds flight plans for drones to survey a large area. The flight plans are built for subregions and fed into drones which allow them to navigate autonomously. DIFPL employs distributed paradigm on Hadoop MapReduce framework. Distribution is achieved by processing sections or subregions in parallel. Experiments performed with network and elevation datasets validate the efficiency of DIFPL in building optimal flight plans.


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