Evidence map›Paper›PMID 35051201›Full record

ArticlePloS one

A novel approach of overtaking maneuvering using modified RG method.

Usman Ghumman, Hamid Jabbar, Mohsin Islam Tiwana, Ihsan Ullah Khalil, Faraz Kunwar

Abstract read
In one paragraph

Article in PloS one. 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

5 authors.

Usman GhummanDepartment of Mechatronics Engineering, NUST College of E&ME, Rawalpindi, Pakistan.ORCID https://orcid.org/0000-0003-4523-0590
Hamid JabbarRobot Design and Development Lab (RDDL), National Centre of Robotics and Automation (NCRA), NUST College of E&ME, Rawalpindi, Pakistan.ORCID https://orcid.org/0000-0002-5866-2782
Mohsin Islam TiwanaDepartment of Mechatronics Engineering, NUST College of E&ME, Rawalpindi, Pakistan.
Ihsan Ullah KhalilDepartment of Electrical Engineering, NUST College of E&ME, Rawalpindi, Pakistan.
Faraz KunwarDepartment of Mechatronics Engineering, NUST College of E&ME, Rawalpindi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intelligent and safe overtaking maneuvering is always a challenging task for autonomous vehicles. This paper proposes and experimentally implements a novel approach of overtaking maneuvering using modified form of Rendezvous Guidance (RG) algorithm for trajectory planning and obstacle avoidance, considering driver safety and comfort during autonomous overtaking. The simulations for all possible scenarios are conducted to ensure the effectiveness of proposed modified RG algorithm. These scenarios involved presence and absence of obstacle vehicle in overtaking lane alongside leading vehicle in driving lane. In addition, the enhanced performance of modified RG algorithm is established over conventional RG algorithm by comparative analysis. The results indicate that overtaking maneuvering period could be decreased by 10% using a modified RG algorithm and vehicle will cover less distance to complete overtaking. The efficacy of proposed method is justified by performing experiments using mobile robots. The experimental results and simulation results of modified RG algorithm are compared, and their plots are almost identical.

Indexed as

AlgorithmsAutomobile DrivingComputer SimulationHumansRobotics

Identifiers

PMID35051201
PMCPMC8776333

What OpenQuestion holds

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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.