Evidence map›Paper›PMID 42076505›Full record

ArticleSensors (Basel, Switzerland)2026

Multi-Point Laser Detection Device for Ground Hazards in Blind Mobility.

Issa Berthe, Lucas Bogaert, Liam Jordan, Julien Donnez, Clément Favey, René Farcy

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

6 authors.

Issa BertheLaboratoire Aimé Cotton, Université Paris-Saclay, Centre National de la Recherche Scientifique, 91405 Orsay, France.ORCID 0009-0006-1148-8138
Lucas BogaertLaboratoire Aimé Cotton, Université Paris-Saclay, Centre National de la Recherche Scientifique, 91405 Orsay, France.
Liam JordanLaboratoire Aimé Cotton, Université Paris-Saclay, Centre National de la Recherche Scientifique, 91405 Orsay, France.ORCID 0009-0009-2947-3358
Julien DonnezLaboratoire Aimé Cotton, Université Paris-Saclay, Centre National de la Recherche Scientifique, 91405 Orsay, France.
Clément FaveyLaboratoire Aimé Cotton, Université Paris-Saclay, Centre National de la Recherche Scientifique, 91405 Orsay, France.
René FarcyLaboratoire Aimé Cotton, Université Paris-Saclay, Centre National de la Recherche Scientifique, 91405 Orsay, France.

Funding

Université Paris-Saclay UPS 20HR0593
6 · The paper itself

Abstract

This article examines hazardous ground irregularities that remain undetectable by the white cane used by visually impaired individuals. Additionally, the development of a multi-beam laser ranging system is described. Integrated into the cane handle, this system is designed to provide comprehensive ground awareness and sufficient anticipation at a walking speed of 1 m/s. The system employs a near-infrared multi-beam laser sensor with a holographic grating generating four diamond-shaped beams, in conjunction with a high-resolution CMOS sensor. Through optical triangulation and real-time processing, the device estimates the height of obstacles or drop-offs relative to the walking surface. Vibrotactile feedback informs the user of detected hazards, with distinct vibration patterns differentiating between elevation changes and drop-offs. Preliminary trials with blind participants in controlled environments demonstrate that the system is feasible, responsive, energy-efficient, and fully compatible with conventional white cane use.

Indexed as

assistive deviceblind mobilityelectronic travel aidlaser telemetryvisual impairment

Identifiers

PMID42076505
PMCPMC13120418

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.