Evidence map›Paper›PMID 42884210›Full record

ArticleSensors (Basel, Switzerland)2026

Stable Observation Generation of Retroreflective Landmarks for Utility-Tunnel Inspection Robots.

Jicong Wang, Hongpeng Li, Jianhua Zhang, Siyuan Chen, Lihui Xu, Min Xie, Yue Long, Jiangpeng Shu

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

8 authors.

Jicong WangSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Hongpeng LiSchool of Resource and Safety Engineering, Central South University, Changsha 410083, China.
Jianhua ZhangJiangxi Copper Group Yinshan Mining Co., Ltd., Dexing 334200, China.
Siyuan ChenJiangxi Copper Group Yinshan Mining Co., Ltd., Dexing 334200, China.
Lihui XuJiangxi Copper Group Yinshan Mining Co., Ltd., Dexing 334200, China.
Min XieJiangxi Copper Group Yinshan Mining Co., Ltd., Dexing 334200, China.
Yue LongJiangxi Copper Group Yinshan Mining Co., Ltd., Dexing 334200, China.
Jiangpeng ShuCollege of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China.

Funding

Hangzhou Kuangxing Technology Co., Ltd.Key R&D Program of Ningbo 2024H013National Natural Science Foundation of China W2412092Science and Technology Plan Project of Zhejiang Provincial Water Resources Department RB2515
6 · The paper itself

Abstract

Utility tunnels are narrow, repetitive, and GNSS-denied, while reflective infrastructure can create false landmark detections. This paper presents a lightweight observation method for low-cost retroreflective landmarks on inspection robots. The first contribution combines intensity filtering with local geometric verification to suppress reflective-background interference. The second combines sparse-candidate recovery with temporal tracking and state confirmation to retain stable observations under sparse returns and short occlusions. On annotated real LiDAR data, the method achieves 88.7% precision, an F1 score of 80.3%, and a mean processing time of 1.57 ms. The resulting observations are associated with a pre-built reflector map; their real-site contribution to absolute localization accuracy requires external trajectory ground truth and is not claimed here.

Indexed as

inspection robotLiDAR perceptionmap associationretroreflective landmarksstable observationtemporal trackingutility tunnel

Identifiers

PMID42884210
PMCPMC13667681

What OpenQuestion holds

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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.