Robust and Precise Navigation and Obstacle Avoidance for Unmanned Ground Vehicle.

Sensors (Basel)

Program of Aerial and Submarine Autonomous Navigation Systems, Department of Research and Multidisciplinary Studies, Center for Research and Advanced Studies, Mexico City 07360, Mexico.

Published: July 2025


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

This paper presents a robust control strategy based on simplified second-order sliding mode for autonomous navigation and obstacle avoidance for an unmanned ground vehicle. The proposed control is implemented in a mini ground vehicle equipped with redundant inertial sensors for orientation, a global positioning system, and LiDAR sensors. The algorithm control avoids the derivative of the sliding surface. This provides a feasibility in real-time programming. In order to demonstrate stability in the system, the second method of the Lyapunov theory is used. In addition, the robustness of the proposed algorithm is verified through numerical simulations. Outdoor experimental tests are performed in order to validate the performance of the proposed control.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12299314PMC
http://dx.doi.org/10.3390/s25144334DOI Listing

Publication Analysis

Top Keywords

ground vehicle
12
navigation obstacle
8
obstacle avoidance
8
avoidance unmanned
8
unmanned ground
8
proposed control
8
robust precise
4
precise navigation
4
vehicle paper
4
paper presents
4

Similar Publications

[Modern view on the mechanism of traffic injury in collision of moving vehicle and pedestrian].

Sud Med Ekspert

September 2025

Bureau of Forensic Medical Examination of the Department of Health Care of the City of Moscow, Moscow, Russia.

The article considers the main phases of traffic injury (TI) described by A.A. Solokhin in 1968 and their modern application in forensic medical and automotive examination.

View Article and Find Full Text PDF

Objective data-driven insights into pedestrian decisions, comprehensibility, and perceived safety of autonomous vehicles with varied eHMIs: Evidence from a real-world experiment.

Accid Anal Prev

September 2025

Department of Traffic Engineering and Key Laboratory of Road and Traffic Engineering Ministry of Education, Tongji University, Shanghai 201804, China. Electronic address:

In future traffic environments dominated by highly autonomous vehicles (AVs), pedestrians may face challenges in accurately interpreting AV behavior, thereby potentially increasing the risk of pedestrian-AV interactions. External human-machine interfaces (eHMIs) have been proposed to facilitate communication between AVs and pedestrians; however, comprehensive evaluations using objective data from real-world interactions are limited. This study developed a systematic evaluation framework grounded in the ISO 9241-11 standard, integrating four key indicators: decision accuracy, comprehensibility, decision efficiency, and perceived safety.

View Article and Find Full Text PDF

Localized Gradient Conductivity Enabled Ultrasensitive Flexible Tactile Sensors with Ultrawide Linearity Range.

Adv Mater

September 2025

Key Laboratory of Low Dimensional Quantum Structures and Quantum Control of Ministry of Education, School of Physics and Electronics, Hunan Normal University, Changsha, 410081, China.

The high sensitivity and wide linearity are crucial for flexible tactile sensors in adapting to diverse application scenarios with high accuracy and reliability. However, conventional optimization strategies of constructing microstructures suffer from the mutual restriction between the high sensitivity and wide linearity. Herein, a novel design of localized gradient conductivity (LGC) with partly covered low-conductivity (low-σ) carbon/Polydimethylsiloxane layer on high-conductivity (high-σ) silver nanowires film upon the micro-dome structure is proposed.

View Article and Find Full Text PDF

Accuracy of recording linear erosion using an unmanned aerial vehicle (UAV).

PLoS One

September 2025

Hydraulic Engineering and Water Management, School of Architecture and Civil Engineering, University of Applied Sciences, Saarbrücken, Germany.

Soil erosion is an ongoing environmental problem. To address this issue, calibrated erosion models are used to forecast areas vulnerable to erosion and to determine appropriate preventive measures. Model calibrations are based on erosion data recorded using different techniques such as photogrammetry from an unmanned aerial vehicle (UAV).

View Article and Find Full Text PDF

Modelling taxi drop-off decisions in FIFO lanes via survival and discrete choice analysis.

PLoS One

September 2025

College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing, China.

Traffic congestion frequently occurs in the drop-off zones of large integrated passenger hubs, posing significant challenges to the efficient utilization of lane space. This study develops a First-In-First-Out (FIFO) taxi drop-off decision-making model, incorporating both static and dynamic Logit frameworks grounded in panel data analysis. The model accounts for heterogeneity across vehicles, temporal variations, and spatial factors influencing drop-off decisions.

View Article and Find Full Text PDF