Evidence map›Paper›PMID 42076676›Full record

ArticleSensors (Basel, Switzerland)2026

Stretch-ICP: A Continuous-Trajectory Registration and Deskewing Algorithm in Scenarios of Aggressive Motions.

Simon-Pierre Deschênes, Veronica Vannini, Philippe Giguère, François Pomerleau

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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.

Simon-Pierre DeschênesNorthern Robotics Laboratory, Université Laval, Quebec City, QC G1V 0A6, Canada.ORCID 0000-0003-0594-5487
Veronica VanniniNorthern Robotics Laboratory, Université Laval, Quebec City, QC G1V 0A6, Canada.ORCID 0000-0003-2847-0314
Philippe GiguèreNorthern Robotics Laboratory, Université Laval, Quebec City, QC G1V 0A6, Canada.ORCID 0000-0002-7520-8290
François PomerleauNorthern Robotics Laboratory, Université Laval, Quebec City, QC G1V 0A6, Canada.ORCID 0000-0003-1288-2744

Funding

Fonds de Recherche du Québec - Nature et Technologies 304410Natural Sciences and Engineering Research Council of Canada 456424915Natural Sciences and Engineering Research Council of Canada 527642-18Natural Sciences and Engineering Research Council of Canada 585289-23
6 · The paper itself

Abstract

Robust robotic autonomy remains challenging in complex environments, where loss of stability on uneven or slippery terrain can induce extreme accelerations and angular velocities. Such motions corrupt sensor measurements and degrade state estimation, motivating the need for improved algorithmic robustness. To investigate this issue, we introduce the Tumbling-Induced Gyroscope Saturation (TIGS) dataset, which consists of recordings from a mechanical lidar and an Inertial Measurement Unit (IMU) tumbling down a hill. The dataset contains angular speeds up to four times higher than those in similar datasets and is publicly available. We then propose two complementary methods to improve Simultaneous Localization And Mapping (SLAM) robustness and evaluate them on TIGS. First, Saturation-Aware Angular Velocity Estimation (SAAVE) estimates angular velocities when gyroscope measurements become saturated during aggressive motions, reducing angular speed estimation error by 83.4%. Second, Stretch-ICP, a novel registration and deskewing algorithm, enables reconstruction of smoother 6-Degrees Of Freedom (DOF) trajectories under aggressive motions compared to

Indexed as

aggressive motionscontinuous trajectorySLAMSLAM robustnessStretch-ICP

Identifiers

PMID42076676
PMCPMC13120457

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.