Evidence map›Paper›PMID 39272300›Full record

ArticleAnimals : an open access journal from MDPI2024

Visual Navigation of Caged Chicken Coop Inspection Robot Based on Road Features.

Hongfeng Deng, Tiemin Zhang, Kan Li, Jikang Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Hongfeng DengState Key Laboratory of Swine and Poultry Breeding Industry, South China Agricultural University, Guangzhou 510642, China.
Tiemin ZhangState Key Laboratory of Swine and Poultry Breeding Industry, South China Agricultural University, Guangzhou 510642, China.
Kan LiState Key Laboratory of Swine and Poultry Breeding Industry, South China Agricultural University, Guangzhou 510642, China.
Jikang YangState Key Laboratory of Swine and Poultry Breeding Industry, South China Agricultural University, Guangzhou 510642, China.

Funding

Guangdong Chaozhou science and technology planning project 202101ZD07Guangdong Province Special Fund for Modern Agricultural Industry Common Key Technology R&D Innovation Team 2023KJ129State Key Laboratory of Swine and Poultry Breeding Industry (PI) research project ZQQZ-31
6 · The paper itself

Abstract

The speed and accuracy of navigation road extraction and driving stability affect the inspection accuracy of cage chicken coop inspection robots. In this paper, a new grayscale factor (4B-3R-2G) was proposed to achieve fast and accurate road extraction, and a navigation line fitting algorithm based on the road boundary features was proposed to improve the stability of the algorithm. The proposed grayscale factor achieved 92.918% segmentation accuracy, and the speed was six times faster than the deep learning model. The experimental results showed that at the speed of 0.348 m/s, the maximum deviation of the visual navigation was 4 cm, the average deviation was 1.561 cm, the maximum acceleration was 1.122 m/s

Indexed as

cage chicken coopinspection robotroad featuresvisual navigation

Identifiers

PMID39272300
PMCPMC11487438

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.