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Proceedings ArticleDOI

Initial calibration and alignment of an inertial navigation

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TLDR
In this paper, an efficient initial calibration and alignment algorithm for a six-degree of freedom inertial navigation unit is presented, which is able to obtain accurate position and velocity information for a significant period of time using an inertial measurement unit as the only sensor.
Abstract
This work presents an efficient initial calibration and alignment algorithm for a six-degree of freedom inertial navigation unit. The individual error models for the gyros and accelerometers are presented with a study of its effects in trajectory prediction. A full error model is also presented to determine the sensors needed for full observability of the different perturbation parameters. Finally, dead reckoning experimental results are presented based on the initial alignment and calibration parameters. The results show that the algorithm proposed is able to obtain accurate position and velocity information for a significant period of time using an inertial measurement unit as the only sensor.

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Citations
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Relative Pose Calibration Between Visual and Inertial Sensors

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Accelerometer Calibration and Dynamic Bias and Gravity Estimation: Analysis, Design, and Experimental Evaluation

TL;DR: This paper details the calibration of an accelerometer unit and presents also a dynamic filtering solution for the bias, which also includes the estimation of the gravity in body-fixed coordinates.
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Design and analysis of a sun sensor for planetary rover absolute heading detection

TL;DR: Results of a recent FIDO field trial and several operations readiness tests at the JPL MarsYard using the sun sensor have demonstrated threefold to fourfold improvement in the heading estimation of the rover compared to incremental odometry.
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Error Analysis and Gyro-Bias Calibration of Analytic Coarse Alignment for Airborne POS

TL;DR: A novel analytic calibration of gyro biases with arbitrary double position is proposed and results show that the method can accurately calibrate the gyro bias, improve the precision of initial alignment and inertial navigation for SINS, and verify the efficiency of the proposed method.
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A high integrity navigation architecture for outdoor autonomous vehicles

TL;DR: A new navigation system structure is introduced which is capable of detecting faults in any combination of navigation sensors and a decentralised architecture is presented for the fusion of information from different asynchronous sources.
References
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Proceedings ArticleDOI

Dead reckoning for a lunar rover on uneven terrain

TL;DR: A complementary Kalman filter is derives that fuses accelerometer and rate gyro data to increase the accuracy of dead reckoning on uneven terrain and presents empirical demonstrations on the effectiveness of the new method with mobile robot traverses over crater ground.
Proceedings ArticleDOI

Experiments in autonomous underground guidance

TL;DR: An experimental program for evaluating sensors and sensing technologies in an underground mining applications to infer what combinations of sensors will provide reliable navigation systems for autonomous vehicles operating in a harsh underground environment.
Proceedings ArticleDOI

Slip modelling and aided inertial navigation of an LHD

TL;DR: The particular contributions of this paper are in designing the navigation system to be able to cope with vehicle slip in rough uneven terrain using information from an inertial navigation system (INS) and a bearing only laser.
Proceedings ArticleDOI

Inertial navigation aided with GPS information

TL;DR: In this paper, an indirect Kalman filter approach is used to fuse high frequency inertial information with low frequency GPS data to predict high frequency manoeuvres as well as detect multipath errors in the GPS information.
Proceedings ArticleDOI

GPS/INS integration on the Standoff Land Attack Missile (SLAM)

TL;DR: The GPS/INS avionics and software integration used for SLAM are described in detail, along with some of the design tradeoffs that led to the approach.
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