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Journal articles on the topic 'Assistance in validating scenarios'

Author: Grafiati

Published: 7 July 2024

Last updated: 31 July 2025

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1

Mammen, Manasa Mariam, Zafer Kayatas, and Dieter Bestle. "Evaluation of Different Generative Models to Support the Validation of Advanced Driver Assistance Systems." Applied Mechanics 6, no. 2 (2025): 39. https://doi.org/10.3390/applmech6020039.

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Validating the safety and reliability of automated driving systems is a critical challenge in the development of autonomous driving technology. Such systems must reliably replicate human driving behavior across scenarios of varying complexity and criticality. Ensuring this level of accuracy necessitates robust testing methodologies that can systematically assess performance under various driving conditions. Scenario-based testing addresses this challenge by recreating safety-critical situations at varying levels of abstraction, from simulations to real-world field tests. However, conventional

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Yuvaraj J Patil. "Scenario-Driven Safety Verification: A Comprehensive Framework for Autonomous Vehicle Validation within ISO 26262." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 1047–56. https://doi.org/10.32628/cseit25112431.

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This article presents a methodological framework for scenario-driven safety verification in automotive systems, with specific emphasis on its integration within the ISO 26262 functional safety standard. It focuses on advanced driver assistance systems (ADAS) and autonomous driving functions, detailing how diverse driving scenarios—including varied road conditions, traffic situations, weather conditions, and potential vehicle faults—are defined and simulated to ensure comprehensive safety validation. The framework leverages virtual simulation and hardware-in-the-loop environments to implement k

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Kayatas, Zafer, Dieter Bestle, Pascal Bestle, and Robin Reick. "Generation of Realistic Cut-In Maneuvers to Support Safety Assessment of Advanced Driver Assistance Systems." Applied Mechanics 4, no. 4 (2023): 1066–77. http://dx.doi.org/10.3390/applmech4040054.

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Advanced Driver Assistance Systems (ADASs) attract constantly growing attention from academics and industry as more and more vehicles are equipped with such technology. Level-3 ADASs, like the DRIVE PILOT from Mercedes-Benz AG, are expected to appear more and more on the market in the next few years. However, automated driving raises new challenges for the system validation required for series approval. The replacement of a human driver as control instance expands the range of variants to be validated and verified. The scenario-based validation approach meets these challenges by simulating onl

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Cheng, Leijun, Haoyu Wang, Nan Yang, and Yuming Qiao. "Dynamic perspective transformation and feature optimization framework for robust and efficient lane detection in complex scenarios." Journal of Physics: Conference Series 3019, no. 1 (2025): 012067. https://doi.org/10.1088/1742-6596/3019/1/012067.

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Abstract Lane detection is a critical task in advanced driver-assistance systems (ADAS) and autonomous vehicles. Yet, existing methods face significant challenges in handling complex scenarios such as road plane variations, lane occlusions, and noise interference. To address these issues, we propose a novel approach named LaneAdapt, which combines the independently trained PerspectiveNet (P-Net) with the Rein module to achieve efficient and robust lane detection. Specifically, P-Net is pre-trained independently to learn dynamic perspective transformation matrices, overcoming the limitations of

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Tatar, Mugur. "Test and Validation of Advanced Driver Assistance Systems Automated Search for Critical Scenarios." ATZelektronik worldwide 11, no. 1 (2016): 54–57. http://dx.doi.org/10.1007/s38314-015-0574-1.

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Ahrenhold, Nils, Ingrid Gerdes, Thorsten Mühlhausen, and Annette Temme. "Validating Dynamic Sectorization for Air Traffic Control Due to Climate Sensitive Areas: Designing Effective Air Traffic Control Strategies." Aerospace 10, no. 5 (2023): 405. http://dx.doi.org/10.3390/aerospace10050405.

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Dynamic sectorization is a powerful possibility to balance the controller workload with respect to traffic flows changing over time. A multi-objective optimization system analyzes the traffic flow over time and determines suitable time-dependent sectorizations. Our dynamic sectorization system is integrated into a radar display as part of a working environment for air traffic controllers. A use case defining climate-sensitive areas leads to changes in traffic flows. When using the system, three controllers are assessed in two scenarios: the developed controller assistance system and the work i

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Marcano, Mauricio, José A. Matute, Ray Lattarulo, Enrique Martí, and Joshué Pérez. "Low Speed Longitudinal Control Algorithms for Automated Vehicles in Simulation and Real Platforms." Complexity 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/7615123.

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Advanced Driver Assistance Systems (ADAS) acting over throttle and brake are already available in level 2 automated vehicles. In order to increase the level of automation new systems need to be tested in an extensive set of complex scenarios, ensuring safety under all circumstances. Validation of these systems using real vehicles presents important drawbacks: the time needed to drive millions of kilometers, the risk associated with some situations, and the high cost involved. Simulation platforms emerge as a feasible solution. Therefore, robust and reliable virtual environments to test automat

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Ametller, Adria, and Chris Brace. "A Coupling Architecture for Remotely Validating Powertrain Assemblies." SAE International Journal of Electrified Vehicles 12, no. 2 (2023): 279–300. http://dx.doi.org/10.4271/14-12-02-0015.

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<div>Among the myriad of potential hybrid powertrain architectures, selecting the optimal for an application is a daunting task. Whenever available, computer models greatly assist in it. However, some aspects, such as pollutant emissions, are difficult to model, leaving no other option than to test. Validating plausible options before building the powertrain prototype has the potential of accelerating the vehicle development even more, doing so without shipping components around the world. This work concerns the design of a system to virtually couple—that is, avoiding physical contact—ge

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Rövid, András, Zsolt Vincze, Tamás Pálinkás, Mihály Kocsis, Viktor Serrano, and Zsolt Szalay. "Reference Platform for ADAS Camera System Evaluation." Sensors 25, no. 6 (2025): 1690. https://doi.org/10.3390/s25061690.

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Advanced driving assistance systems (ADASs) are critical for automotive safety. They rely on various sensors (especially with an increasing reliance on visual sensors to meet evolving safety standards) to capture relevant environmental data. The validation of ADAS systems is crucial to ensure their reliability and performance in real-world driving scenarios; however, this requires reference data. This paper focuses on the development of a reference sensor system that can provide reference data and does support the validation of visual sensors for ADAS systems. The system is validated in variou

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Cuma, Mehmet Uğraş, Çağrı Dükünlü, and Emrah Yirik. "Smart Driver Behavior Recognition and 360-Degree Surround-View Camera for Electric Buses." Electronics 12, no. 13 (2023): 2979. http://dx.doi.org/10.3390/electronics12132979.

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The automotive industry’s focus on driver-oriented issues underscores the critical importance of driver safety. This paper presents the development of advanced driver assistance system (ADAS) algorithms specifically tailored for an electric bus (e-bus) to enhance safety. The proposed approach incorporates two key components: a 360-degree surround-view system and driver behavior recognition utilizing the You Only Look Once V5 (YOLO_V5) method. The adoption of YOLO_V5 in ADASs enables rapid response by processing multiple class probabilities and region proposals within an image instantaneously.

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Lagarda-Leyva, Ernesto A., María Paz Guadalupe Acosta-Quintana, Javier Portugal-Vásquez, Arnulfo A. Naranjo-Flores, and Alfredo Bueno-Solano. "System Dynamics and Sustainable Solution: The Case in a Large-Scale Pallet Manufacturing Company." Sustainability 15, no. 15 (2023): 11766. http://dx.doi.org/10.3390/su151511766.

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The proposal in the present research study is the result of a more than two-year process developed in a pallet manufacturing company for anchor enterprises in Southern Sonora, Mexico dedicated to beer production and export to the United States of America. Considering the high pallet demand for this supplier, a strategic plan was created in 2021, establishing an important project for developing technological solutions to improve decision making supported by graphical user interface and focused on sustainability. This study shows the application of system dynamics in all the wood and pallet manu

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Yuyukin, I. V. "Spline reconstruction of the informativeness template in correlation-extreme navigation tasks." Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 17, no. 2 (2025): 233–53. https://doi.org/10.21821/2309-5180-2025-17-2-233-253.

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The problem of correlation-extreme navigation is addressed based on the reconstructed spline template of informativeness, incorporating a priori information about the safe movement of vessels in conflict navigation spaces. The paper focuses on the practical implementation of intelligent ship motion control guided by the principle of analyzing the geophysical field geometry when enabling autonomous ship movement along an electronic spline trajectory. The study substantiates terrain-based navigation principles by comparing measured navigation parameters with a pre-created virtual informative tem

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Expósito Jiménez, Víctor J., Bernhard Winkler, Joaquim M. Castella Triginer, et al. "Safety of the Intended Functionality Concept Integration into a Validation Tool Suite." ACM SIGAda Ada Letters 43, no. 2 (2024): 69–72. http://dx.doi.org/10.1145/3672359.3672369.

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Nowadays, the increasing complexity of Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) means that the industry must move towards a scenariobased approach to validation rather than relying on established technology-based methods. This new focus also requires the validation process to take into account Safety of the Intended Functionality (SOTIF), as many scenarios may trigger hazardous vehicle behaviour. Thus, this work demonstrates how the integration of the SOTIF process within an existing validation tool suite can be achieved. The necessary adaptations are explained with

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Savino, Giovanni, Marco Pierini, and Michael G. Lenné. "Development of a low-cost motorcycle riding simulator for emergency scenarios involving swerving." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 230, no. 14 (2016): 1891–903. http://dx.doi.org/10.1177/0954407015624998.

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The development of advanced riding assistance systems requires the analysis of user reactions in emergency situations. Motorcycle riding simulators are an alternative to ‘on-road’ testing so that virtual environment dangerous scenarios can be investigated without risks for the participants. In this paper, we propose a process for validation of a low-cost motorcycle simulator characterized by, first, an elastic resistance on the steering input and, second, a counter-steering strategy. For this, 16 riders tested the simulator in different manoeuvres, including a cornering manouvre in a non-urban

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Ramos-Rojas, Jaime, Juan A. Castano, Pedro R. Fernández, et al. "Design and Validation of an Ambulatory User Support Gait Rehabilitation Robot: NIMBLE." Actuators 13, no. 9 (2024): 348. http://dx.doi.org/10.3390/act13090348.

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Relearning to walk requires progressive training in real scenarios—overground—along with assistance in basic tasks, such as balancing. In addition, user ability must be maximized through compliant robotic assistance as needed. Despite decades of research, gait rehabilitation robotic devices yield controversial results. This article presents the conceptual design of a novel walking assistance and rehabilitation robot, the NIMBLE robot, aimed at providing ambulatory, bodyweight-supported gait training, assisting the user’s center of mass trajectory to aid weight transfer and dynamic balance duri

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Rundo, Francesco. "Deep LSTM with Dynamic Time Warping Processing Framework: A Novel Advanced Algorithm with Biosensor System for an Efficient Car-Driver Recognition." Electronics 9, no. 4 (2020): 616. http://dx.doi.org/10.3390/electronics9040616.

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The latest generation of cars are increasingly equipped with driver assistance systems called ADAS (advanced driver assistance systems) which are able to assist the car driver in different driving scenarios, and in the most advanced automation levels, able to take over driving the car if required due to dangerous situations. Therefore, it is essential to adapt the ADAS specifically to the car-driver’s identity in order to better customize the driving assistance. To this end, algorithms that allow correct recognition of the vehicle driver are fundamental and preparatory. In this context, an alg

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K., Deeksha. "Lightweight Vehicle Black Box System with Automatic Emergency Assistance." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 1423–27. https://doi.org/10.22214/ijraset.2025.68537.

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In the context of increasing road traffic incidents and the demand for smarter transportation systems, the need for advanced vehicle monitoring solutions has become critical. This paper presents the design and development of an IoT-based Vehicle Black Box system that records and transmits real-time vehicular data to support accident analysis and emergency response. The proposed system integrates various sensors, including an accelerometer, GPS module, alcohol sensor, and microcontroller, to collect data such as speed, impact force, location, and driver condition. Through IoT connectivity, this

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Zou, Xuan, Weijie He, Yu Huang, et al. "AI-Driven Diagnostic Assistance in Medical Inquiry: Reinforcement Learning Algorithm Development and Validation." Journal of Medical Internet Research 26 (August 23, 2024): e54616. http://dx.doi.org/10.2196/54616.

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Background For medical diagnosis, clinicians typically begin with a patient’s chief concerns, followed by questions about symptoms and medical history, physical examinations, and requests for necessary auxiliary examinations to gather comprehensive medical information. This complex medical investigation process has yet to be modeled by existing artificial intelligence (AI) methodologies. Objective The aim of this study was to develop an AI-driven medical inquiry assistant for clinical diagnosis that provides inquiry recommendations by simulating clinicians’ medical investigating logic via rein

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Wang, Wei, Zhening Shen, and Zhengran Zhou. "A Novel Vision- and Radar-Based Line Tracking Assistance System for Drone Transmission Line Inspection." Remote Sensing 16, no. 2 (2024): 355. http://dx.doi.org/10.3390/rs16020355.

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This paper introduces a position controller for drone transmission line inspection (TLI) utilizing the integral sliding mode control (SMC) method. The controller, leveraging GNSS and visual deviation data, exhibits high accuracy and robust anti-interference capabilities. A deviation correction strategy is proposed to capture high-voltage transmission line information more robustly and accurately. Lateral position deviation is calculated using microwave radar data, attitude angle data, and deviation pixels derived from transmission line recognition via MobileNetV3. This approach enables accurat

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Shi, Xin, Xiaheng Zhang, Pengjie Qin, Liangwen Huang, Yaqin Zhu, and Zixiang Yang. "Gait Phase Recognition in Multi-Task Scenarios Based on sEMG Signals." Biosensors 15, no. 5 (2025): 305. https://doi.org/10.3390/bios15050305.

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In the human–exoskeleton interaction process, accurately recognizing gait phases is crucial for effectively assessing the assistance provided by the exoskeleton. However, due to the similarity in muscle activation patterns between adjacent gait phases, the recognition accuracy is often low, which can easily lead to confusion in surface electromyography (sEMG) feature extraction. This paper proposes a real-time recognition method based on multi-scale fuzzy approximate root mean entropy (MFAREn) and an Efficient Multi-Scale Attention Convolutional Neural Network (EMACNN), building upon the conce

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Park, Changwoo, Seunghwan Chung, and Hyeongcheol Lee. "Vehicle-in-the-Loop in Global Coordinates for Advanced Driver Assistance System." Applied Sciences 10, no. 8 (2020): 2645. http://dx.doi.org/10.3390/app10082645.

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Most vehicle controllers are developed and verified with V-model. There are several traditional methods in the automotive industry called “X-in-the-Loop (XIL)”. However, the validation of advanced driver assistance system (ADAS) controllers is more complicated and needs more environmental resources because the controller interacts with the external environment of the vehicle. Vehicle-in-the-Loop (VIL) is a recently being developed approach for simulating ADAS vehicles that ensures the safety of critical test scenarios in real-world testing using virtual environments. This new test method needs

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Mondal, Pratyush. "Blockchain-Driven Aid Distribution: Enhancing Humanitarian Assistance Through Decentralized Validation in Conflict Zones." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50790.

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Blockchain technology, originally developed for cryptocurrencies, has evolved into a powerful tool for enhancing humanitarian aid distribution in conflict zones, where traditional centralized systems frequently fail due to corruption, inefficiencies, and trust deficits. This research presents an integrated framework leveraging blockchain’s immutable ledger, advanced cryptographic security, and decentralized consensus, alongside smart contract automation to ensure tamper-proof records and secure, real-time tracking of aid. The system incorporates biometric identity verification and zero-knowled

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Garcia A., Daniel E., Sergio D. Sierra M., Daniel Gomez-Vargas, Mario F. Jiménez, Marcela Múnera, and Carlos A. Cifuentes. "Semi-Remote Gait Assistance Interface: A Joystick with Visual Feedback Capabilities for Therapists." Sensors 21, no. 10 (2021): 3521. http://dx.doi.org/10.3390/s21103521.

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The constant growth of pathologies affecting human mobility has led to developing of different assistive devices to provide physical and cognitive assistance. Smart walkers are a particular type of these devices since they integrate navigation systems, path-following algorithms, and user interaction modules to ensure natural and intuitive interaction. Although these functionalities are often implemented in rehabilitation scenarios, there is a need to actively involve the healthcare professionals in the interaction loop while guaranteeing safety for them and patients. This work presents the val

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Biebl, Bianca, Max Kuhn, Franziska Stolle, Jing Xu, Klaus Bengler, and Alex R. Bowers. "Knowing me, knowing you—A study on top-down requirements for compensatory scanning in drivers with homonymous visual field loss." PLOS ONE 19, no. 3 (2024): e0299129. http://dx.doi.org/10.1371/journal.pone.0299129.

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Objective It is currently still unknown why some drivers with visual field loss can compensate well for their visual impairment while others adopt ineffective strategies. This paper contributes to the methodological investigation of the associated top-down mechanisms and aims at validating a theoretical model on the requirements for successful compensation among drivers with homonymous visual field loss. Methods A driving simulator study was conducted with eight participants with homonymous visual field loss and eight participants with normal vision. Participants drove through an urban surroun

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Putter, Roman, Andre Neubohn, Andre Leschke, and Roland Lachmayer. "Predictive Vehicle Safety—Validation Strategy of a Perception-Based Crash Severity Prediction Function." Applied Sciences 13, no. 11 (2023): 6750. http://dx.doi.org/10.3390/app13116750.

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Traffic accident avoidance and mitigation are the main targets of accident research and vehicle safety development worldwide. Despite improving advanced driver assistance systems (ADAS) and active safety systems, it will not be possible to avoid all vehicle accidents in the near future. Innovative Pre-Crash systems (PCS) should contribute to the accident mitigation of unavoidable accidents. However, there are no standardized testing methods for Pre-Crash systems. In particular, irreversible Pre-Crash systems lead to great challenges in the verification and validation (V&V) process. The rel

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Mohammad Sojon Beg, Muhammad Yusri Ismail, and Md. Saef Ullah Miah. "Evaluating the Performance of a Visual Support System for Driving Assistance using a Deep Learning Algorithm." Journal of Advanced Research in Applied Sciences and Engineering Technology 34, no. 1 (2023): 38–50. http://dx.doi.org/10.37934/araset.34.1.3850.

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The issue of road accidents endangering human life has become a global concern due to the rise in traffic volumes. This article presents the evaluation of an object detection model for University of Malaysia Pahang (UMP) roadside conditions, focusing on the detection of vehicles, motorcycles, and traffic lamps. The dataset consists of the driving distance from Hospital Pekan to the University of Malaysia Pahang. Around one thousand images were selected in Roboflow for the train dataset. The model utilises the YOLO V8 deep learning algorithm in the Google Colab environment and is trained using

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Sanchez-Mateo, S., E. Perez-Moreno, F. Jimenez, F. Serradilla, A. Cruz Ruiz, and S. De la Fuente Tamayo. "Validation of an Assistance System for Merging Maneuvers in Highways in Real Driving Conditions." Science & Technique 18, no. 6 (2019): 525–31. http://dx.doi.org/10.21122/2227-1031-2019-18-6-525-531.

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In the latest study conducted by the National Highway Traffic Safety Administration in 2018, it was published that human error is still considered the major factor in traffic accidents, 94 %, compared with other causes such as vehicles, environment and unknown critical reasons. Some driving scenarios are especially complex, such as highways merging lanes, where the driver obtains information from the environment while making decisions on how to proceed to perform the maneuver smoothly and safely. Ignorance of the intentions of the drivers around him leads to risky situations between them cause

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Stabile, Pietro, Federico Ballo, Giorgio Previati, Giampiero Mastinu, and Massimiliano Gobbi. "Eco-Driving Strategy Implementation for Ultra-Efficient Lightweight Electric Vehicles in Realistic Driving Scenarios." Energies 16, no. 3 (2023): 1394. http://dx.doi.org/10.3390/en16031394.

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This paper aims to provide a quantitative assessment of the effect of driver action and road traffic conditions in the real implementation of eco-driving strategies. The study specifically refers to an ultra-efficient battery-powered electric vehicle designed for energy-efficiency competitions. The method is based on the definition of digital twins of vehicle and driving scenario. The models are used in a driving simulator to accurately evaluate the power demand. The vehicle digital twin is built in a co-simulation environment between VI-CarRealTime and Simulink. A digital twin of the Brooklan

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Wu, Cheng, Xiang Qiang, Yiming Wang, Changsheng Yan, and Guangyao Zhai. "Efficient detection of obstacles on tramways using adaptive multilevel thresholding and region growing methods." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 232, no. 5 (2017): 1375–84. http://dx.doi.org/10.1177/0954409717720840.

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With the rapid development of light-rail public transportation, video-based obstacle detection is becoming an essential and foregoing task in driver assistance systems. The system should be able to automatically survey the tramway using an onboard camera. However, the functioning of the system is challenging due to the presence of various ground types, different weather and illumination conditions, as well as varying time of acquisition. This article presents a real-time tramway detection method that deals efficiently with various challenging situations in real-world urban rail traffic scenari

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Huang, Qiao, and Jinlong Liu. "Practical limitations of lane detection algorithm based on Hough transform in challenging scenarios." International Journal of Advanced Robotic Systems 18, no. 2 (2021): 172988142110087. http://dx.doi.org/10.1177/17298814211008752.

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The vision-based road lane detection technique plays a key role in driver assistance system. While existing lane recognition algorithms demonstrated over 90% detection rate, the validation test was usually conducted on limited scenarios. Significant gaps still exist when applied in real-life autonomous driving. The goal of this article was to identify these gaps and to suggest research directions that can bridge them. The straight lane detection algorithm based on linear Hough transform (HT) was used in this study as an example to evaluate the possible perception issues under challenging scena

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Paradeda, Raul, Álisson Alves, Daniel Torres, and Althierfson Lima. "The Emotions and Advice in Virtual Assistants: A Dual Study on Emotion Validation and Agent Suggestions in a Gaming Scenario." Journal on Interactive Systems 15, no. 1 (2024): 118–29. http://dx.doi.org/10.5753/jis.2024.3725.

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In an era where virtual assistants play an increasingly prominent role in our daily lives, this study explores the implications of their advice. We investigate the interplay between trust and virtual agents’ emotional expressions, delving into a critical aspect of human-technology interaction. Conducted through a comprehensive study comprising two interconnected phases, our research examines the dynamics between virtual agents and human decision-making. The first phase involves developing and validating a virtual robotic agent capable of conveying a spectrum of emotions. Through this, gender-b

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Laniel, Sébastien, Dominic Létourneau, François Grondin, Mathieu Labbé, François Ferland, and François Michaud. "Toward enhancing the autonomy of a telepresence mobile robot for remote home care assistance." Paladyn, Journal of Behavioral Robotics 12, no. 1 (2021): 214–37. http://dx.doi.org/10.1515/pjbr-2021-0016.

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Abstract In health care, a telepresence robot could be used to have a clinician or a caregiver assist seniors in their homes, without having to travel to these locations. However, the usability of these platforms for such applications requires that they can navigate and interact with a certain level of autonomy. For instance, robots should be able to go to their charging station in case of low energy level or telecommunication failure. The remote operator could be assisted by the robot’s capabilities to navigate safely at home and to follow and track people with whom to interact. This requires

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Wu, Danny T. Y., David Hanauer, Paul Murdock, V. G. Vinod Vydiswaran, Qiaozhu Mei, and Kai Zheng. "Developing a Semantically Based Query Recommendation for an Electronic Medical Record Search Engine: Query Log Analysis and Design Implications." JMIR Formative Research 7 (September 15, 2023): e45376. http://dx.doi.org/10.2196/45376.

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Background An effective and scalable information retrieval (IR) system plays a crucial role in enabling clinicians and researchers to harness the valuable information present in electronic health records. In a previous study, we developed a prototype medical IR system, which incorporated a semantically based query recommendation (SBQR) feature. The system was evaluated empirically and demonstrated high perceived performance by end users. To delve deeper into the factors contributing to this perceived performance, we conducted a follow-up study using query log analysis. Objective One of the pri

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Canaza Ccari, Luis F., Ronald Adrian Ali, Erick Valdeiglesias Flores, et al. "JVC-02 Teleoperated Robot: Design, Implementation, and Validation for Assistance in Real Explosive Ordnance Disposal Missions." Actuators 13, no. 7 (2024): 254. http://dx.doi.org/10.3390/act13070254.

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Explosive ordnance disposal (EOD) operations are hazardous due to the volatile and sensitive nature of these devices. EOD robots have improved these tasks, but their high cost limits accessibility for security institutions that do not have sufficient funds. This article presents the design, implementation, and validation of a low-cost EOD robot named JVC-02, specifically designed for use in explosive hazardous environments to safeguard the safety of police officers of the Explosives Disposal Unit (UDEX) of Arequipa, Peru. To achieve this goal, the essential requirements for this type of robot

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Walenta, Kelvin, Simon Genser, and Selim Solmaz. "Bayesian Gaussian Mixture Models for Enhanced Radar Sensor Modeling: A Data-Driven Approach towards Sensor Simulation for ADAS/AD Development." Sensors 24, no. 7 (2024): 2177. http://dx.doi.org/10.3390/s24072177.

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In the realm of road safety and the evolution toward automated driving, Advanced Driver Assistance and Automated Driving (ADAS/AD) systems play a pivotal role. As the complexity of these systems grows, comprehensive testing becomes imperative, with virtual test environments becoming crucial, especially for handling diverse and challenging scenarios. Radar sensors are integral to ADAS/AD units and are known for their robust performance even in adverse conditions. However, accurately modeling the radar’s perception, particularly the radar cross-section (RCS), proves challenging. This paper adopt

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Righetti, Giovanni, and Basilio Lenzo. "A Combined Dynamic–Kinematic Extended Kalman Filter for Estimating Vehicle Sideslip Angle." Applied Sciences 15, no. 3 (2025): 1365. https://doi.org/10.3390/app15031365.

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In modern automotive engineering, accurate vehicle sideslip angle estimation is crucial for enhancing vehicle safety, performance, and driver comfort. This paper addresses the challenge of estimating sideslip angle, an essential parameter for advanced driver-assistance systems (ADAS) and autonomous driving technologies. This study introduces a combined dynamic–kinematic extended Kalman filter (DK-EKF) approach that leverages the strengths of both kinematic and dynamic models while mitigating their individual limitations. The proposed DK-EKF enhances observability in low yaw rate conditions, a

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Jadeja, Yagna, Mahmoud Shafik, Paul Wood, and Aaisha Makkar. "Enhancing Healthcare Assistance with a Self-Learning Robotics System: A Deep Imitation Learning-Based Solution." Electronics 14, no. 14 (2025): 2823. https://doi.org/10.3390/electronics14142823.

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This paper presents a Self-Learning Robotic System (SLRS) for healthcare assistance using Deep Imitation Learning (DIL). The proposed SLRS solution can observe and replicate human demonstrations, thereby acquiring complex skills without the need for explicit task-specific programming. It incorporates modular components for perception (i.e., advanced computer vision methodologies), actuation (i.e., dynamic interaction with patients and healthcare professionals in real time), and learning. The innovative approach of implementing a hybrid model approach (i.e., deep imitation learning and pose est

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Könnecke, Rainer, and Volker Schneider. "Vulnerable People in Microscopic Evacuation Modelling." Collective Dynamics 5 (August 12, 2020): A94. http://dx.doi.org/10.17815/cd.2020.94.

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Computational evacuation modelling as a part of approval procedures or design processes is sometimes concerned with vulnerable people requiring special attention. This vulnerability can be based on external circumstances or on individual characteristics. Microscopic methods are well suited to deal with such specific determinants by their ability to model individual movement and certain behavioural aspects. By reference to case studies the possibilities of up-to-date individual evacuation models to cover egress scenarios including vulnerable people are discussed. The selected examples demonstra

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Yi, Qiang, Stanley Chien, Lingxi Li, et al. "Development of test scenarios and bicyclist surrogate for the evaluation of bicyclist automatic emergency braking systems." Journal of Intelligent and Connected Vehicles 1, no. 1 (2018): 15–27. http://dx.doi.org/10.1108/jicv-02-2018-0005.

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Purpose To support the standardized evaluation of bicyclist automatic emergency braking (AEB) systems, test scenarios, test procedures and test system hardware and software tools have been investigated and developed by the Transportation Active Safety Institute (TASI) at Indiana University-Purdue University Indianapolis. This paper aims to focus on the development of test scenarios and bicyclist surrogate for evaluating vehicle–bicyclist AEB systems. Design/methodology/approach The harmonized general estimates system (GES)/FARS 2010-2011 crash data and TASI 110-car naturalistic driving data (N

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KARCHER, AMELIE KARCHER. "PROCEDURE FOR THE IMPLEMENTATION OF VR/AR LEARNING SCENARIOS FOR METHOD TRAINING - PRESENTATION OF THE ASSISTED REALITY IMPLEMENTATION MODEL (ARIM)." Journal of Emerging Technologies and Innovative Research 10, no. 11 (2023): e402-e422. https://doi.org/10.5281/zenodo.10391143.

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   Virtual - and Augmented Reality (VR/AR) based assistance systems represent a growing technological approach for the sustainable communication of quality methods for further education offers. To create virtual learning environments as standardized and efficient as possible, a uniform approach is required. In order to analyze the current state of the art, a systematic literature review has already been conducted. Existing models and approaches were reviewed, but no suitable research design was found. Therefore, the ADDIE model was used as an analogy, which, however, had to be adapte

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Stević, Stevan, Momčilo Krunić, Marko Dragojević, and Nives Kaprocki. "Development of ADAS perception applications in ROS and "Software-In-the-Loop" validation with CARLA simulator." Telfor Journal 12, no. 1 (2020): 40–45. http://dx.doi.org/10.5937/telfor2001040s.

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Higher levels of autonomous driving are bringing sophisticated requirements and unpredicted challenges. In order to solve these problems, the set of functionalities in modern vehicles is growing in terms of algorithmic complexity and required hardware. The risk of testing implemented solutions in real world is high, expensive and time consuming. This is the reason for virtual automotive simulation tools for testing are heavily acclaimed. Original Equipment Manufacturers (OEMs) use these tools to create closed sense, compute, act loop to have realistic testing scenarios. Production software is

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Ding, Zhigang, Jingjing Jiang, Jishi Zheng, and Linghua Kong. "Machine Vision-Based Method for Reconstructing the Vehicle Coordinate System in End-of-Line ADAS Calibration." Electronics 13, no. 17 (2024): 3405. http://dx.doi.org/10.3390/electronics13173405.

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To ensure the accuracy and reliability of Advanced Driver Assistance Systems (ADAS), it is essential to perform offline calibration before the vehicles leave the factory. This paper proposes a method for reconstructing the vehicle coordinate system based on machine vision, which can be applied to the offline calibration of ADAS. Firstly, this study explains the preliminary preparations, such as the selection of feature points and the choice of camera model, combining actual application scenarios and testing requirements. Subsequently, the YOLO model is trained to identify and obtain feature re

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Preda, Cosmin, and Robert-Marian Bleotu. "Robotic Assembly – Mobile Platform for Construction Field." Studia Universitatis Babeș-Bolyai Engineering 69, no. 1 (2024): 223–39. http://dx.doi.org/10.24193/subbeng.2024.1.21.

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"Construction sites often involve the manual transportation of heavy objects, posing risks to workers' safety and efficiency. In this paper, it was proposed a design, development, and evaluation of a service robot specifically created for carrying heavy objects in the construction field. The robot is equipped with robust locomotion capabilities, intelligent perception systems, and efficient control mechanisms to navigate through complex environments and handle various types of loads. It was presented the technical design of the robot, including its hardware components, sensing modalities, and

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Junca Paredes, John Jairo, Sandra Guisela Durango Morales, and Stefan Burkart. "An Economic Evaluation of an Intensive Silvo-Pastoral System in San Martín, Peru." Grasses 4, no. 2 (2025): 21. https://doi.org/10.3390/grasses4020021.

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The cattle sector plays a critical role in Peru’s agricultural economy, yet it faces challenges related to low productivity and environmental degradation. Sustainable alternatives like silvo-pastoral systems (SPSs) offer promising solutions to enhance both economic returns and ecological outcomes in cattle farming. This study examines the economic viability of an intensive SPS (SPSi) compared to traditional monoculture grass systems in San Martín, Peru. The SPSi under study is in the evaluation phase, integrates grasses, legumes, shrubs, and trees, and has the potential to enhance cattle farmi

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Lin, Ning, and Yue Zuo. "Advancing driver fatigue detection in diverse lighting conditions for assisted driving vehicles with enhanced facial recognition technologies." PLOS ONE 19, no. 7 (2024): e0304669. http://dx.doi.org/10.1371/journal.pone.0304669.

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Against the backdrop of increasingly mature intelligent driving assistance systems, effective monitoring of driver alertness during long-distance driving becomes especially crucial. This study introduces a novel method for driver fatigue detection aimed at enhancing the safety and reliability of intelligent driving assistance systems. The core of this method lies in the integration of advanced facial recognition technology using deep convolutional neural networks (CNN), particularly suited for varying lighting conditions in real-world scenarios, significantly improving the robustness of fatigu

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Lee, Ming-Chan, Cheng-Tang Pan, Jhih-Syuan Huang, Zheng-Yu Hoe, and Yeong-Maw Hwang. "Integrated Lower Limb Robotic Orthosis with Embedded Highly Oriented Electrospinning Sensors by Fuzzy Logic-Based Gait Phase Detection and Motion Control." Sensors 25, no. 5 (2025): 1606. https://doi.org/10.3390/s25051606.

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This study introduces an integrated lower limb robotic orthosis with near-field electrospinning (NFES) piezoelectric sensors and a fuzzy logic-based gait phase detection system to enhance mobility assistance and rehabilitation. The exoskeleton incorporates embedded pressure sensors within the insoles to capture ground reaction forces (GRFs) in real-time. A fuzzy logic inference system processes these signals, classifying gait phases such as stance, initial contact, mid-stance, and pre-swing. The NFES technique enables the fabrication of highly oriented nanofibers, improving sensor sensitivity

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Bedjiah, Nadir Fouad, Moncef Kadi, Marco Klingler, and Romain Rossi. "Methodology to Validate the Radiated Immunity of Sophisticated Automotive Autonomous Systems." Sensors 25, no. 4 (2025): 1244. https://doi.org/10.3390/s25041244.

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The trend in all automotive manufacturers is to commercialize vehicles with an increasing number of sophisticated Advanced Driver-Assistance Systems (ADASs). These systems often require that several sensors, such as Light Detection and Ranging (LIDAR), radio detection and ranging (radar), cameras, etc., work in cooperation, which makes the systems very complex. To perform the electromagnetic compatibility (EMC) validation of these complex ADASs, the stimulation of multiple sensors composing the system is necessary. Furthermore, the synchronization of these stimulations is essential to create r

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Ahmed, Alami, and Belmajdoub Fouad. "Automotive ECU Basic Test & Validation for XIL in ADAS: A Comprehensive Overview on HIL bench phase." EPJ Web of Conferences 330 (2025): 02008. https://doi.org/10.1051/epjconf/202533002008.

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Nowadays the automotive industry is shifting drastically towards Advanced Driver Assistance Systems (ADAS) and this technology is requiring more and more a robust Test & Verification (T&V) methodology for developing Electronic Control Units (ECUs). It is crucial to ensure the safety and reliability of these embedded systems for both end customers and Original Equipment Manufacturers (OEMs). This involves reducing T&V time, increasing robustness, and improving early fault detection. Hardware-in-the-Loop (HIL) benches play a critical role in early fault detection before the Vehicle U

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Karle, Ujjwala. "Driving Safety through ADAS: An Indian Perspective." ARAI Journal of Mobility Technology 1, no. 1 (2021): pp51–60. http://dx.doi.org/10.37285/ajmt.1.0.7.

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Analysis of the National Motor Vehicle Crash Causation Survey, conducted by the National Highway Traffic Safety Administration (NHTSA), shows that driver error is a factor in 94% of crashes. Although it is important to remember multiple factors contribute to all crashes, the largest portion of driver error issues involve the driver failing to recognize hazards, including distraction. Around 3,700 people die in traffic every day around the world, and 100,000 are injured. The automotive industry is striving to make driving safer. ADAS in India is comparatively in a nascent stage. However, it is

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Ahmed, Asib, Al Artat Bin Ali, Maisha Mahboob, and Fayeeza Humaira. "Comparison between Local and Global Methods to Develop AQI in Representing the Spatial Pattern of Air Quality of Dhaka City." Dhaka University Journal of Earth and Environmental Sciences 11, no. 1 (2023): 131–49. http://dx.doi.org/10.3329/dujees.v11i1.63716.

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An Air Quality Index (AQI) is a means of evaluating air quality in respect to the relation between air quality and the entire environment of an area. The main objective of the study was to compare the development of AQI using global methods and local methods to identify which could represent the more significant pattern from a spatial perspective in Dhaka city (DNCC and DSCC). The pollutants used in this study are CO, NO2, SO2, O3, CH4, CO2, PM2.5 and PM10. For the global AQI, indexing was performed using the guidelines in ‘Technical Assistance Document for the Reporting of Daily Air Quality –

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