GPS Tracking System for Autonomous Vehicles
Open accessAbstract
This paper presents a proposed design of a mechatronics system for autonomous vehicles. The proposed design is able to memorize a route based on Global Positioning System (GPS) rather than using pre-saved maps that are infrequently updated and do not include all roads of all countries. Moreover, it can autonomously avoid obstacles and detect bumps. Experimental tests are conducted using a small-scale car equipped with the proposed mechatronics system. The results show that the proposed system operates with minor errors and slips. The proposed autonomous vehicle can serve normal, disabled, and elderly people. It can be used on roads and even inside facilities like campuses, airports, and factories to transport passengers or loads thus reducing workmanship and costs.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Zein et al. applied a mechatronic system, which enabled the GPS tracking system to remember routes taken during supervised driving.
“Elsewhere, Zein et al. applied a mechatronic system, which enabled the GPS tracking system to remember routes taken during supervised driving [118].”
From Sensor-Based Prognostic Health Management of Advanced Driver Assistance System for Autonomous Vehicles: A Recent Survey (2022) · cites this paper as [118]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
A model predictive speed tracking control approach for autonomous ground vehicles
Zhu, M., Chen, H., & Xiong, G. (2016) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2016.03.003 · Cited by 159 · see citing works
Cooperative Fusion for Multi-Obstacles Detection With Use of Stereovision and Laser Scanner
Labayrade, R., Royere, C., Gruyer, D., et al. (2005) · Autonomous Robots · doi:10.1007/s10514-005-0611-7 · Cited by 144 · see citing works
Motion generation and control for parking an autonomous vehicle
Paromtchik, I. E., & Laugier, C. (2002) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.1996.509186 · Cited by 133 · see citing works
Decision Making for Collision Avoidance Systems
Jansson, J., Johansson, J., & Gustafsson, F. (2002) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2002-01-0403 · Cited by 119 · see citing works
Davis, L. C. (2017) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2017.02.030 · Cited by 18 · see citing works
Collision Mitigation System Improvements with Avoidance Trajectory Computation
Glaser, S., Gruyer, D., Nouvelière, L., et al. (2008) · HAL (Le Centre pour la Communication Scientifique Directe) · Cited by 3 · see citing works
Minoiu, N., Mammar, S., Lusetti, B., et al. (2008) · HAL (Le Centre pour la Communication Scientifique Directe) · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Y. Kojima, K. Kidono, A. Takahashi, Y. Ninomiya, Precise Ego-Localization by Integration of GPS and Sensor-based Odometry, AVEC, Kobe, Japan, 2008, pp. 485-490.
Cited by
Sorted by citations
Raouf, I., Khan, A., Khalid, S., Sohail, M., Azad, M. M., & Kim, H. S. (2022) · Mathematics · doi:10.3390/math10183233 · Cited by 41 · see citing works
- Authors
- Zein, Y., Darwiche, M., & Mokhiamar, O.
- Affiliations
- Beirut Arab University (LB)
- Alexandria University (EG)
- Corresponding author
- Mokhiamar, Ossama
- Venue
- Alexandria Engineering Journal
- Publisher
- Elsevier BV
- Published
- 2018-12
- Volume
- 57
- Issue
- 4
- Pages
- 3127-3137
- ISSN
- 1110-0168 (ISSN-L)
- OpenAlex
- W2901558496
- Cited by
- 63
- References
- 7
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 6 · 2023: 17 · 2022: 11 · 2021: 12 · 2020: 8
- FWCI
- 2.66
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Alexandria Engineering Journal (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Physical Sciences › Engineering › Mechanical Engineering › IoT and GPS-based Vehicle Safety Systems
- Physical Sciences › Engineering › Automotive Engineering › Vehicle Dynamics and Control Systems
- Keywords
- autonomous vehicles, GPS tracking, route memorization, mechatronic systems, obstacle avoidance, bump detection
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
