Evidence map›Paper›PMID 33477962›Full record

ArticleSensors (Basel, Switzerland)2021

Improvement of Reliability Determination Performance of Real Time Kinematic Solutions Using Height Trajectory.

Aoki Takanose, Yoshiki Atsumi, Kanamu Takikawa, Junichi Meguro

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Aoki TakanoseDepartment of Mechatronics Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502, Japan.
Yoshiki AtsumiDepartment of Mechatronics Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502, Japan.
Kanamu TakikawaDepartment of Mechatronics Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502, Japan.
Junichi MeguroDepartment of Mechatronics Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autonomous driving support systems and self-driving cars require the determination of reliable vehicle positions with high accuracy. The real time kinematic (RTK) algorithm with global navigation satellite system (GNSS) is generally employed to obtain highly accurate position information. Because RTK can estimate the fix solution, which is a centimeter-level positioning solution, it is also used as an indicator of the position reliability. However, in urban areas, the degradation of the GNSS signal environment poses a challenge. Multipath noise caused by surrounding tall buildings degrades the positioning accuracy. This leads to large errors in the fix solution, which is used as a measure of reliability. We propose a novel position reliability estimation method by considering two factors; one is that GNSS errors are more likely to occur in the height than in the plane direction; the other is that the height variation of the actual vehicle travel path is small compared to the amount of movement in the horizontal directions. Based on these considerations, we proposed a method to detect a reliable fix solution by estimating the height variation during driving. To verify the effectiveness of the proposed method, an evaluation test was conducted in an urban area of Tokyo. According to the evaluation test, a reliability judgment rate of 99% was achieved in an urban environment, and a plane accuracy of less than 0.3 m in RMS was achieved. The results indicate that the accuracy of the proposed method is higher than that of the conventional fix solution, demonstratingits effectiveness.

Indexed as

global navigation satellite system (GNSS)height trajectorymultipathposition reliability estimationratio-testreal time kinematic (RTK)urban areas

Identifiers

PMID33477962
PMCPMC7835856

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.