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127 articles for “Autonomous vehicles”
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Self-Driving Cars and Computer Vision: Enhancing Computer Vision for Autonomous Vehicle Navigation
Abstract: Autonomous vehicles, commonly known as self-driving cars, are transforming the transportation sector by aiming to enhance road safety, ease traffic congestion, and boost overall efficiency. Central to the operation of these vehicles is computer vision, which enables them to perceive and understand their environment. This paper examines how computer vision contributes to the navigation of autonomous vehicles and highlights its continuous developments. Specifically, it examines key challenges such as real-time …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 1–10 Read article
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Role of Machine Vision in Autonomous Vehicles: A Review
Abstract: The integration of machine vision in autonomous vehicles (AVs) is a critical advancement in the field of intelligent transportation systems. Machine vision systems enable AVs to perceive their environment, understand road conditions, detect obstacles, and make real-time decisions necessary for safe navigation. These systems rely heavily on image processing techniques, which have evolved significantly over the past decade, leading to improved performance in complex driving scenarios. These developments are largely …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 38–43 Read article
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Reinforcement Learning in Real World Application: A Study on Robotics; Autonomous Vehicles and Industrial Automation
Abstract: This research paper investigates the practical application of reinforcement learning (RL) in three critical domains: robotics, autonomous vehicles, and industrial automation. The study delves into the implementation of RL algorithms to enhance decision-making, adaptability, and autonomy in these real-world scenarios. Through a comprehensive review of existing literature, methodologies, and case studies, the paper addresses the challenges faced and the successes achieved in deploying RL in each domain. The findings offer …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 3, 2023 · pp. 1–15 Read article
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Deep Learning for Traffic Sign Recognition in Autonomous Vehicles: Challenges, Trends and Future Directions
Abstract: Traffic Sign Recognition (TSR) serves as a fundamental task in the domain of autonomous vehicles (AVs), enabling systems to detect, classify, and respond to road signs with the level of accuracy and speed required for safe navigation. As AV technology continues to evolve, the role of intelligent TSR systems has become increasingly vital. Traditional computer vision techniques, while foundational, often fall short under challenging real-world conditions such as poor lighting, …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 1–7 Read article
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An Insight Review of Autonomous Vehicle Architecture, Sensors, and Challenges
Abstract: Autonomous vehicles (AVs) are revolutionizing transportation by integrating advanced sensors, artificial intelligence, and communication networks to enhance safety and efficiency. This review explores the architecture of AVs, focusing on perception, localization, path planning, and control. A detailed analysis of AV sensors, including LiDAR (light detection and ranging), radar, cameras, and inertial navigation systems, highlights their roles, advantages, and limitations. Additionally, the paper examines in-vehicle and inter-vehicle communication networks, such as …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 29–42 Read article
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Autonomous Vehicles: The Future of Transportation
Abstract: AbstractAutonomous vehicles are anticipated to be the future of automobile transportation which is efficient safe and cost effective, several automobile companies have put their foot in the vast segment of autonomous vehicles and are currently working towards manufacturing driverless vehicles. From Internet giant Google Inc. to major Automobile manufacturing companies like BMW, Mercedes, Toyota, Tesla motors and world’s largest Taxi firm Uber, all major and minor companies are putting a …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 7, Issue 1, 2020 · pp. 8–13 Read article
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Advanced Graph Editor and World Building Tool for Autonomous Vehicle Collision Avoidance Simulation
Abstract: The rise of autonomous vehicles (AVs) signifies a paradigm shift in transportation, but ensuring their safety is paramount. Collision avoidance stands out as a critical concern, demanding advanced simulation frameworks for rigorous testing. This paper introduces an integrated simulation framework explicitly designed for AV collision avoidance. It encompasses precise graph editing capabilities, realistic simulation environments, seamless neural network integration, and access to real-world data sources. By addressing these challenges, this …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 16–24 Read article
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A Machine Vision Approach for Geofence-based Adaptive Friction Modulation in Connected Semi-autonomous Vehicles
Abstract: Safeguarding vulnerable road user (VRU) safety necessitates fail-safes preventing collisions from semi-autonomous vehicles. Geofencing allows service-zones definition but introduces friction discouraging adoption. This paper details an onboard vision model detecting VRUs by helmet status, triggering reactionary neuro-modulations of vehicle maneuverability. The architecture encompasses a YOLOv3 detector determining pedestrian/bicyclist crossing intent through path extrapolations, calibrated using lidar-fusion correcting distance estimates. The subsequent velocity governor adapts acceleration profiles based on predicted exposure …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 22–29 Read article
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Mobile Robotics in Healthcare: Applications of Drones and Autonomous Vehicles for Medical Supply Delivery
Abstract: This paper explores the transformative role of mobile robotics, specifically drones and autonomous vehicles, in enhancing healthcare delivery systems. As the demand for efficient medical supply logistics increases, these technologies present innovative solutions to overcome barriers in remote and underserved areas. We analyze various applications, including emergency medical deliveries, pharmaceutical transportation, and patient monitoring, highlighting the benefits of speed, cost-effectiveness, and reduced human intervention. Through case studies and experimental data, …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 2, 2024 · pp. 33–45 Read article
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Traffic Congestion Detection among Manual and Autonomous Vehicles using AHP Algorithm
Abstract: Autonomous vehicles (AVs) are the newest intelligent transportation system (ITS) solutions that can move without human intervention. These goodscontinue their trajectory with a variety of sensors comprising various components. Utilizing these technologies effectively within the logistics businessmight generate a competitive advantage. There are numerous AVs on the market today, with some being superior to others in terms of build quality, range of functions, and design. Choosing an efficient, optimal, and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 3, 2022 · pp. 8–15 Read article
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Seasonal Variation of Electric Vehicles Autonomy: Application to AC/DC Dual Voltage Operation
Abstract: In this work, a study to predict battery performance and autonomy for a dual type of electric engine, 480 VAC and 360 VDC, has been developed. The study has been conducted in vehicles of mass between 1000 and 3000 kg with battery capacity in the range of 40 to 100 kWh. The process has been simulated using reference values and modeled for specific driving conditions. The simulation has been developed …
Published in Journal of Mechatronics and Automation · Vol. 7, Issue 3, 2020 · pp. 1–15 Read article
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Semantic Segmentation Using Fully Convolutional Network for An Autonomous Vehicle
Abstract: Numerous individuals inside the profound learning and PC vision networks comprehend what picture arrangement is. We would like to inform about our model that, what single object or scene is present within the image. Semantic segmentation is the most informative segmentation, where we wish to classify each and every pixel within the image. Deep networks have proved to be encoded with highlevel feature like semantic means which can deliver superior …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 1, 2021 · pp. 21–27 Read article
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Autonomous Vehicle for Collison Avoidance using V2V
Abstract: AbstractThe study proposes a shrewd and intelligent collision avoidance framework as a model, which stays away from vehicle mishaps and impacts to give most noteworthy security to the client in antagonistic or awful climate condition. Here, Ultrasonic sensors are placed in the auto, where these sensors are utilized to measure the separation. The vehicle state data are acquired utilizing Ultrasonic sensor, which will ceaselessly track for any snag from front …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 2, 2018 · pp. 15–24 Read article
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Autonomous Vehicle with Obstacle Evasion Capability
Abstract: This paper involves the design and implementation of an obstacle-avoidance vehicle. The goal of this project is to build a vehicle that, when in motion, can recognize obstructions in its route and, in the absence of outside interference, alter course as essential. Based on sensor inputs, the robot determines the new direction to prevent a collision as the direction with the largest distance between the obstacle and the sensor. An …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 1, 2024 · pp. 6–13 Read article
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Modeling and Simulation of Autonomous Vehicle Management System Using Fuzzy Theory
Abstract: ABSTRACT Fuzzy techniques have demonstrated a surge in the practical applications of fuzzy set theory. This paper presents the speed control mechanism that solves the problem intelligently by learning, adaptation and incorporating human knowledge. The proposed speed controller is used to manage the speed of the trains while at the same time managing the uncertainty in the condition of railway tracks. To deal with the aforesaid issues of uncertainty a …
Published in Current Trends in Information Technology · Vol. 2, Issue 1, 2012 · pp. 39–47 Read article
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An Investigation of Model Predictive Control in Self-driving Vehicles
Abstract: Autonomous vehicles, which are often known as self-driving automobiles or driverless cars, are vehicles that can navigate and operate without human intervention. They require efficient controllers capable of handling complexities, with reduced computational costs, and should handle multiple inputs and outputs simultaneously. Model predictive control (MPC) possesses all these characteristics which means it can be utilized effectively for the same purpose. MPC for autonomous vehicles proposes various ways of achieving …
Published in Trends in Electrical Engineering · Vol. 14, Issue 1, 2024 · pp. 40–50 Read article
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A Detailed Review on Intelligent and Robust Control Strategies for Autonomous Underwater Vehicles with Emphasis on Navigation, Path Tracking, and Stability Enhancement
Abstract: Autonomous Underwater Vehicles (AUVs) have gained significant attention due to their applications in ocean exploration, underwater surveillance, environmental monitoring, and offshore industries. The control of AUVs presents various challenges due to the highly dynamic and uncertain underwater environment, nonlinear hydrodynamics, and external disturbances. This review paper explores various control strategies employed for AUVs, including classical control methods such as Proportional-Integral-Derivative (PID) controllers, modern techniques like Model Predictive Control (MPC), and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 28–52 Read article
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Reliability of Self Driving Cars
Abstract: One of the most prominent issues of the past ten years has been self-driving cars, which offers superior handling and more precise drive control than human- driven vehicles. Focusing on this problem results in less unacceptable mistakes made by automobiles the more computerised they are. Even if the efficient driving criteria have been raised, collisions are still the worst-case situation for the vehicles and need to be avoided. A vehicle …
Published in Journal of Automobile Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 34–41 Read article
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Attention-Enhanced YOLO Framework for Robust Real-Time Object Detection in Autonomous Driving Environments
Abstract: Accurate object detection is essential for autonomous driving systems, where vehicles must continuously perceive surrounding road users and infrastructure in real time. Although the You Only Look Once (YOLO) family of deep learning detectors has achieved significant success due to its high speed and efficiency, detecting small or partially occluded objects in complex traffic environments remains challenging. This paper presents an attention-enhanced YOLO framework designed to improve feature representation and …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 2, 2026 · pp. 41–52 Read article
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Autonomous Firefighting Robotic Vehicle
Abstract: Firefighting operation requires fire fighters to risk their lives to save the victims. If the fire is in unreachable locations, it becomes difficult for fire fighters to reach the same. Thus, this paper discusses the concept of autonomous firefighting robotic vehicle. The proposed autonomous firefighting robotic vehicle consists of development of fully autonomous firefighting robotic vehicle which can smartly detect the location of fire, navigate to the same autonomously and …
Published in Journal of Mechatronics and Automation · Vol. 6, Issue 2, 2019 · pp. 12–17 Read article