Neural-Kalman GNSS/INS Navigation for Precision Agriculture

Author:

Du Yayun1,Saha Swapnil Sayan2,Sandha Sandeep Singh3,Lovekin Arthur1,Wu Jason2,Siddharth S.4,Chowdhary Mahesh4,Jawed Mohammad Khalid1,Srivastava Mani2

Affiliation:

1. University of California, Los Angeles,Department of Mechanical & Aerospace Engineering,Los Angeles,CA,United States,90095

2. University of California, Los Angeles,Department of Electrical & Computer Engineering,Los Angeles,CA,United States,90095

3. Amazon,Seattle,WA,United States,98121

4. STMicroelectronics,Santa Clara,CA,United States,95054

Funder

Semiconductor Research Corporation (SRC)

DARPA

Army Research Laboratory (ARL)

Air Force Office of Scientific Research (AFOSR)

National Science Foundation (NSF)

King Abdullah University of Science and Technology (KAUST)

National Institute of Food and Agriculture

Publisher

IEEE

Reference75 articles.

1. Sensor Planning for a Symbiotic UAV and UGV System for Precision Agriculture

2. Methods for fast morphological image transforms using bitmapped binary images

3. RINS-W: Robust Inertial Navigation System on Wheels

4. Morphological Image Analysis

5. Ins/gps integrated navigation for wheeled agricultural robot based on sigma-point kalman filter;zhang;2008 Asia Simulation Conference-7th International Conference on System Simulation and Scientific Computing,0

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