Journal ArticleDOI
A review of ground vehicle dynamic state estimations utilising GPS/INS
TLDR
In this paper, an extensive overview of existing vehicle dynamic state estimators that utilize the in-car Inertial Navigation Sensors and Global Positioning System is provided, with an emphasis on vehicle sidelip estimation.Abstract:
This paper provides an extensive overview of existing vehicle dynamic state estimators that utilise the in-car Inertial Navigation Sensors and Global Positioning System The different approaches are categorised, the techniques are summarised and the limitations and advantages of each approach are provided Recommendations for future research are also given The review is intended to be fairly comprehensive, but with an emphasis on vehicle sideslip estimationread more
Citations
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Journal ArticleDOI
Review of mobile mapping and surveying technologies
TL;DR: It is suggested that mobile laser scanning systems can mainly be divided into two categories (mapping and surveying) depending on their final purpose, accuracy, range and resolution requirements.
Global Positioning Systems
TL;DR: The Pupil Transportation Advisory Committee recommends the Michigan Department of Education adopt the following as a recommended guideline for purchasing GPS equipment.
Journal ArticleDOI
Vehicle dynamic state estimation: state of the art schemes and perspectives
TL;DR: The definitions used in vehicle dynamic state estimation are first introduced, and alternative estimation structures are presented, and the sensor configuration schemes used to estimate vehicle velocity, sideslip angle, yaw rate and roll angle are presented.
Journal ArticleDOI
Longitudinal Vehicle Speed Estimation for Four-Wheel-Independently-Actuated Electric Vehicles Based on Multi-Sensor Fusion
TL;DR: The proposed multi-sensor fusion-based longitudinal vehicle speed estimator for four-wheel-independently-actuated electric vehicles using a Global Positioning System and Beidou Navigation Positioning module, and a low-cost Inertial Measurement Unit (IMU).
Journal ArticleDOI
On the vehicle sideslip angle estimation: a literature review of methods, models and innovations
TL;DR: In this article, the authors provide a comprehensive literature review on the side-slip angle estimation problem, focusing on the most effective and innovative approaches, as well as the advantages and limitations of each technique.
References
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Book
Kalman Filtering: Theory and Practice Using MATLAB
TL;DR: Kalman Filtering: Theory and Practice Using MATLAB, Fourth Edition is an ideal textbook in advanced undergraduate and beginning graduate courses in stochastic processes and Kalman filtering and appropriate for self-instruction or review by practicing engineers and scientists who want to learn more about this important topic.
Book
Global Positioning Systems, Inertial Navigation, and Integration
TL;DR: The authors explore the various subtleties, common failures, and inherent limitations of the theory as it applies to real-world situations, and provide numerous detailed application examples and practice problems, including GNSS-aided INS, modeling of gyros and accelerometers, and SBAS and GBAS.
Journal ArticleDOI
The aiding of a low-cost strapdown inertial measurement unit using vehicle model constraints for land vehicle applications
TL;DR: The algorithm exploits nonholonomic constraints that govern the motion of a vehicle on a surface to obtain velocity observation measurements which aid in the estimation of the alignment of the IMU as well as the forward velocity of the vehicle.
Journal ArticleDOI
Recursive least squares with forgetting for online estimation of vehicle mass and road grade: theory and experiments
TL;DR: In this article, an ad hoc modification of the update law for the gain in the recursive least square (RLS) scheme is proposed and used in simulation and experiments, demonstrating that the proposed scheme estimates mass within 5% of its actual value and tracks grade with good accuracy.