Search
9 articles for “autonomous driving perception”
-
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
-
Self-Driving Autonomous Car
Abstract: The goal of this project is to create an autonomous vehicle that can drive itself safely and intelligently without the possibility of human error. This Raspberry Pi-based project can recognize traffic lights and obstacles. It is able to make an informed judgment regarding whether to halt or carry on along the current course by comparing the data processed with the data supplied to it. The hardware platform, that consists of …
Published in Current Trends in Signal Processing · Vol. 13, Issue 1, 2023 · pp. 12–18 Read article
-
Sensor Technologies in Robotics: A Review of Vision, Tactile, and Proximity Sensing Systems
Abstract: Robotics has undergone remarkable advancements in recent decades, largely driven by the integration of cutting-edge sensor technologies. Sensors serve as crucial for allowing robots to precisely logic, interpret, and react to the world around them. Among the most essential sensor types used in robotics are vision sensors, tactile sensors, and proximity sensors. These technologies strengthen a robot’s capacity for successful navigation, for example, object manipulation, and contact with people and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 31–37 Read article
-
The Future of Robotics: A Review of AI-Enabled Robotics Research, Development, and Applications
Abstract: Robotics powered by artificial intelligence (AI) is transforming contemporary industries by empowering machines to learn, adapt, and operate on their own in intricate, changing contexts. The breadth and capabilities of automation have been greatly expanded by the convergence of AI technologies with robots, including machine learning, deep learning, computer vision, and natural language processing (NLP). With an emphasis on technological advancements, application areas, and research advances, this study examines current …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
-
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
-
A Review Paper of Automated Driving & ADAS Technologies
Abstract: Automated driving and Advanced Driver Assistance Systems (ADAS) are transforming road mobility, promising enhanced safety, improved traffic efficiency, and greater accessibility. This review presents a comprehensive synthesis of core technologies, system architectures, sensor modalities, perception and decision-making algorithms, and evaluation methodologies underpinning contemporary ADAS and automated driving. We provide a detailed discussion of the functional components—sensors (camera, radar, LiDAR, ultrasonic), localization, perception, prediction, planning, control, and human–machine interfaces—and how these …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 1–8 Read article
-
A ROS2-Based Autonomous UAV Software Framework with YOLO-Driven Multi-Sensor Surveillance for Law Enforcement: A Simulation Study
Abstract: The rapid proliferation of drone technology in India and worldwide has presented new opportunities to law enforcement agencies to enhance the methods used to monitor and patrol, and respond to threats to security. This paper introduces a full software system for a ROS2-based autonomous unnamed aerial vehicle (UAV) system for law enforcement surveillance. The system, validated entirely via high-fidelity simulation using Gazebo Classic and PX4 Software-in-the-Loop (SITL), uses a combination …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 4, Issue 2, 2026 · pp. 1–10 Read article
-
Analysis and Performance in Action Recognition
Abstract: AbstractHuman activity and movement examination has been explored under a few extensive research ventures around the world. Issues like foundation mess, fractional impediment, changes in scale, perspective, lighting and appearance drives the undertaking of perceiving human exercises from video arrangements or still pictures into a testing assignment. Numerous applications, including video reconnaissance frameworks, human-PC communication, and apply autonomy for human conduct portrayal, require a different action acknowledgment framework. In numerous …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 1, 2017 · pp. 16–20 Read article
-
Automatic Flame Detection and Tracking
Abstract: Recent advancements in independent robotics, embedded systems, and intelligent perception have appreciably improved the capability of firefighting robots designed for early fire detection, flame localization, and suppression. A broad range of studies explores vision-based and sensor-fusion techniques designed for reliable flame discovery in complex environments. Image-processing approaches—including adaptive edge-detection, infrared/thermal imaging, color-space analysis, and profound learning—are extensively implement to enhance real-time fire gratitude, even in the presence of smoke or …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 6–12 Read article