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Deep Learning-Based Computer Vision Methods for Complex Traffic Environments Perception: A Review
Computer vision applications in intelligent transportation systems (ITS) and autonomous driving (AD) have gravitated towards deep neural network...
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Perception of embodied digital technologies: robots and telepresence systems
Embodied Digital Technologies (EDTs) are increasingly populating private and public spaces. How EDTs are perceived in Hybrid Societies requires prior...
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Machine Learning for Efficient Perception in Automotive Cyber-Physical Systems
In emerging semiautonomous vehicles, accurate environmental perception with advanced driver assistance systems (ADAS) is critical to achieving safety...
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Multi-sensor Fusion for Perception in Complex Traffic Environments
To gain reliable and accurate perception is essential for autonomous driving in complex traffic environments, which often requires the cooperative...
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Beyond Shared Autonomy: Joint Perception and Action for Human-In-The-Loop Mobile Robot Navigation Systems
In this study, we present a road map from shared to full autonomy for human-in-the-loop mobile robot navigation systems. We proposed a shared...
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Visual Detection Algorithm for Enhanced Environmental Perception of Unmanned Surface Vehicles in Complex Marine Environments
Unmanned surface vehicles (USVs) are distinguished by their intelligence, compactness, and absence of human casualties, making them a vital component...
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Sensor system for development of perception systems for ATO
Develo** AI systems for automatic train operation (ATO) requires developers to have a deep understanding of the human tasks they are trying to...
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Perception to Control: End-to-End Autonomous Driving Systems
End-to-end autonomous driving systems have garnered a lot of attention in recent years, and researchers have been exploring different ways to make...
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Multidimensional scaling method for complex time series based on the Wasserstein–Fourier distance in complex systems
In this paper, we propose a multidimensional scaling (MDS) method based on the Wasserstein–Fourier (WF) distance to analyze and classify complex time...
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Organic electrochemical neurons for neuromorphic perception
Neuromorphic sensing and processing has the potential to be used to create bioelectronic and robotic systems that perceive, respond and adapt to...
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Perception for Humanoid Robots
Purpose of ReviewThe field of humanoid robotics, perception plays a fundamental role in enabling robots to interact seamlessly with humans and their...
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Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems
We develop inductive biases for the machine learning of complex physical systems based on the port-Hamiltonian formalism. To satisfy by construction...
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Infrastructure and Complex Systems Automation
The set of traditional characteristic features of large-scale complex systems (LSS) included the large number of variables, structure of...
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Robust Environmental Perception and Reliability Control for Intelligent Vehicles
This book presents the most recent state-of-the-art algorithms on robust environmental perception and reliability control for intelligent vehicle...
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Sensing and Communication Mechanisms for Advanced Robotics and Complex Cyber-Physical Systems
Robotics and Automation have been pertinent and rigorously active fields of research and advancement for the last few decades, with the advent of...
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Understanding Perception Technology
This chapter starts with the methods of data acquisition, introduces the composition and main technical characteristics of perception technology,...
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A Comprehensive Review on Sparse Representation and Compressed Perception in Optical Image Reconstruction
This review explores the integration of sparse representation and compressed perception in optical image reconstruction. Beginning with an in-depth...
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Application Study on the Reinforcement Learning Strategies in the Network Awareness Risk Perception and Prevention
The intricacy of wireless network ecosystems and Internet of Things (IoT) connected devices have increased rapidly as technology advances and cyber...
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Loudness Perception
Just as other auditory attributes, the loudness of an auditory unit emerges from the auditory information used in the formation of that auditory...
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Accelerating autonomy: an integrated perception digital platform for next generation self-driving cars using faster R-CNN and DeepLabV3
Building robust perception systems for autonomous vehicles requires addressing multimodal data fusion and large-scale deep network training...
