Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Scott M. Martin"'
Autor:
Scott M. Martin
Publikováno v:
Navigation, Vol 70, Iss 4 (2023)
This paper investigates the application of a vector tracking approach to carrier phase tracking for improved tracking in degraded signal environments. In contrast to many vector-based carrier phase tracking approaches, the algorithms described in thi
Externí odkaz:
https://doaj.org/article/2079d93edbd2431d8a0fea0ee4ec3ba2
Publikováno v:
Sensors, Vol 23, Iss 16, p 7053 (2023)
Joint angles of the lower extremities have been calculated using gyroscope and accelerometer measurements from inertial measurement units (IMUs) without sensor drift by leveraging kinematic constraints. However, it is unknown whether these methods ar
Externí odkaz:
https://doaj.org/article/0ff67723b3694892b429bbedd79ab508
Autor:
C. Anderson Givhan, Scott M. Martin
Publikováno v:
Proceedings of the 2023 International Technical Meeting of The Institute of Navigation.
Autor:
Christian D. Moomaw, Scott M. Martin
Publikováno v:
ION GNSS+, The International Technical Meeting of the Satellite Division of The Institute of Navigation.
Publikováno v:
ION GNSS+, The International Technical Meeting of the Satellite Division of The Institute of Navigation.
Publikováno v:
IFAC-PapersOnLine. 54:449-454
Autor:
Scott M. Martin, David M. Bevly
Publikováno v:
Position, Navigation, and Timing Technologies in the 21st Century
This chapter provides a brief overview of the history that led to proliferation of work in vehicle automation, followed by a discussion of the basic vehicle models and examples of navigation for vehicle automation. Today, advanced driver assistance s
Autor:
Tanner M. Watts, Scott M. Martin
Publikováno v:
The International Technical Meeting of the The Institute of Navigation.
Publikováno v:
Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021).
This paper presents a fourth order Extended Kalman Filter (EKF) that processes Android smartphone data for positioning and navigation. The EKF utilizes GNSS, IMU, and magnetometer sensor outputs for correction to its states. Unlike traditional GPS/IN
Publikováno v:
Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021).
This paper presents and evaluates cooperative navigation methods used to reduce navigation solution error growth between members of an unmanned aerial vehicle - unmanned ground vehicle (UAV-UGV) team when Global Position System (GPS) measurements are