Session A2: Small Size or Low Cost Inertial Sensor Technologies


Date: Tuesday, April 24, 2018
Time: 1:45 p.m. - 5:30 p.m.
Location: Big Sur

Session Chairs:
Dr. Alexander Trusov
Northrop Grumman
Charles Blackmer
Analog Devices

Abstracts are listed alphabetically. Once the peer review of the full technical papers is complete, abstracts will be assigned to a presentation or alternate status.

Inertial only Land Vehicle Navigation using MEMS: Igor P. Prikhodko, Brock Bearss, Carey Merritt, Joe Bergeron, Charles Blackmer, Analog Devices Inc.
A Piezo-Capacitive BAW Accelerometer with Extended Dynamic Range using a Gap-Changing Moving Electrode: Anosh Daruwalla, Haoran Wen, Chang-shun Liu, Hoon Jeong, Farrokh Ayazi, Georgia Institute of Technology
Bi-orthonormal based De-Noising for Improving Wellbore Continuous MWD Surveying Utilizing MEMS Inertial Sensors: Umar Iqbal, Mississippi State University, USA, Lu Wang, Beijing University of aeronautics and astronautics, China; Abdalla M. Osman,Royal Military College of Canada; Aboelmagd Noureldin, Queen’s University and Royal Military College of Canada, Chunxi Zhang, Beijing University of aeronautics and astronautics, China;
Heading and Attitude Determination System with Low-cost IMU Embedded Inside One of Multiple Antennas: Nikolay Vasilyuk, Mikhail Vorobiev, and Dmitry Tokarev, Topcon Positioning Systems, LLC, Russia
Loosely Coupled GPS/INS Integration with Snap to Road for Low-Cost Land Vehicle Navigation: Mohamed Lajmi Cherif, Jérôme Leclere and René Jr. Landry, University of Québec, École de Technologie Supérieure, Canada
MEMS Gyro bias Drift Mitigation by Simultaneous Operation of the n = 2 and n = 3 Modes: Howard Ge and Robert M'Closkey, University of California Los Angeles
Performance Assessment of An MPU-6000 IMU for Low-Cost Ground Vehicle Navigation: Rodrigo Gonzalez, GridTICs, National University of Technology, Argentina; Paolo Dabove, Department of Environmental, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, Italy
Temperature Compensation of MEMS Inertial Sensors based on Neural Network: Golrokh Araghi, René Jr Landry, Department of electrical engineering, LASSENA, École de Technologie Supérieure, Canada
Using a Mobile Range-Camera Motion Capture System to Evaluate the Performance of Integration of Multiple Low-Cost Wearable Sensors and Gait Kinematics for Pedestrian Navigation in Realistic Environments: Chandra Tjhai and Kyle O’Keefe, Position, Location, and Navigation (PLAN) Group, University of Calgary, Canada
Wafer-Level-Packaged HARPSS+ MEMS Platform: Integration of Robust Timing and Inertial Measurement Units (TIMU) on a Single Chip: Haoran Wen, Anosh Daruwalla, Yaesuk Jeong, Pranav Gupta, Jaehoo Choi, Chang-Shun Liu, Farrokh Ayazi, Georgia Institute of Technology

6:00 p.m. - 8:00 p.m. Exhibitor Hosted Reception in Exhibit Hall