Novel Snapshot Integrity Algorithm for Automotive Applications: Test Results Based on Real Data

Bryant, Rod; Julien, Olivier; Hide, Chris; Moridi, S.; Sheret, Ian

doi:10.1109/plans46316.2020.9109830

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…Snapshot Position Bonding using Non-Gaussian Error Distribution and MCMC: The authors in [32] propose a new integrity monitoring method that derives a tight position bond for GNSS measurements, modeling the pseudoranges and carrier phase observation errors as accurate non-Gaussian distributions. Typical snapshot methods rely on Gaussian over-bounding, a technique that is unable to accurately represent the tail of the error distribution, which is particularly problematic for NLOS and multipath errors that might be outside the protection bound.…”

Section: A Snapshot Based Immentioning

confidence: 99%

Recent Advances in Sensor Integrity Monitoring Methods—A Review

2022

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In face of the high complexity of modern systems and the increasing reliance on technology, the strategies and methods to evaluate the integrity of systems and the information they provide are of great importance. The use of sensors to provide important information in various applications has become ubiquitous, which puts more pressure on the accuracy of sensor measurements. In the navigation field, in particular, the integrity of positioning information provided by sensors can be critical, as failures can lead to fatalities and catastrophic damages. Extensive research has been done into methods to assess and improve the integrity of positioning information provided by GNSS receivers, led by the high safety requirements in the aviation field. More recently, a shift into the research of integrity solutions suitable for the challenging positioning requirements of autonomous vehicles in urban environment has been a trend. There have been extensive advancements in developing integrity monitoring algorithms for GNSS and navigation in general. However, these methods have not been sufficiently extended into other types of sensors, and the development of integrity methods outside the navigation field have been scarce and scattered. This work aims to provide an overview of recent advances in the integrity monitoring field, including research outside the navigation domain. The goal is to give an introduction to the integrity monitoring concept to a broader audience, as these techniques have been highly specialized by GNSS experts and navigation related research, fostering multi-disciplinary approaches and creative use of existing methods in different areas and applications.

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Section: A Snapshot Based Immentioning

confidence: 99%

Recent Advances in Sensor Integrity Monitoring Methods—A Review

2022

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Automotive GNSS Antenna Platform-Induced Group Delay Biases on GPS L1 signals

Kaufmann

Julien

2021

2021 15th European Conference on Antennas and Propagation (EuCAP)

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Protection Level Computation using Constraints on Bias Vector

Sato

HIROKAWA

HIGUCHI

et al. 2022

JIPNTJ

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We propose a new protection level computation algorithm, where a nonlinear optimization problem derived from conventional RAIM is just once solved for a bias vector, such that satisfies its lower and upper bounds as constraints. This algorithm does not limit a number of assumed faulty measurements, while avoiding combinatorial increase of computational load which is usually problematic in RAIM and ARAIM as the number of fault modes increase. Also the upper and lower bounds of bias vector can be applied as a part of integrity assistance data which is being standardized in 3GPP and RTCM.

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Novel Snapshot Integrity Algorithm for Automotive Applications: Test Results Based on Real Data

Cited by 3 publications

References 13 publications

Recent Advances in Sensor Integrity Monitoring Methods—A Review

Recent Advances in Sensor Integrity Monitoring Methods—A Review

Automotive GNSS Antenna Platform-Induced Group Delay Biases on GPS L1 signals

Protection Level Computation using Constraints on Bias Vector

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