Image segmentation is an important topic in computer vision which encompasses a variety of techniques to divide image into multiple areas or sub-regions in order to extract meaningful information. Artificial Neural Ne...
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Traditional methods of monitoring vital signs in vehicles often fall short when it comes to response time, especially in fast-moving situations. To tackle this, our paper introduces a groundbreaking solution: leveragi...
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Nowadays, more and more information technology such as internet-of-things (IoT) and artificial intelligence (AI) are applied to all walks of life. Facing the pressure of technological innovation, traditional manufactu...
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New security threats have surfaced in response to the meteoric rise in the prevalence of Cyber-Physical systems (CPS). The latest iteration of CPS has a wide range of flaws, dangers, attacks, and safeguards. However, ...
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One key technical challenge in the age of autonomous machines is the programming of autonomous machines, which demands the synergy across multiple domains, including fundamental computer science, computer architecture...
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ISBN:
(数字)9781665472982
ISBN:
(纸本)9781665472982
One key technical challenge in the age of autonomous machines is the programming of autonomous machines, which demands the synergy across multiple domains, including fundamental computer science, computer architecture, and robotics, and requires expertise from both academia and industry. This paper discusses the programming theory and practices tied to producing real-life autonomous machines, and covers aspects from high-level concepts down to low-level code generation in the context of specific functional requirements, performance expectation, and implementation constraints of autonomous machines.
We present the first real-time system capable of tracking and reconstructing, individually, every visible object in a given scene, without any form of prior on the rigidness of the objects, texture existence, or objec...
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ISBN:
(数字)9781665479271
ISBN:
(纸本)9781665479271
We present the first real-time system capable of tracking and reconstructing, individually, every visible object in a given scene, without any form of prior on the rigidness of the objects, texture existence, or object category. In contrast with previous methods such as Co-Fusion and MaskFusion that first segment the scene into individual objects and then process each object independently, the proposed method dynamically segments the non-rigid scene as part of the tracking and reconstruction process. When new measurements indicate topology change, reconstructed models are updated in real-time to reflect that change. Our proposed system can provide the live geometry and deformation of all visible objects in a novel scene in real-time, which makes it possible to be integrated seamlessly into numerous existing robotics applications that rely on object models for grasping and manipulation. The capabilities of the proposed system are demonstrated in challenging scenes that contain multiple rigid and non-rigid objects. Supplementary material, including video, can be found at https://***/changhaonan/STAR-no-prior.
Accurate traffic sign recognition is crucial for driver assistance systems, yet challenges persist due to environmental factors and camera distortions. This study introduces a novel framework for real-time traffic sig...
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The generative artificial intelligence-assisted language learning system is a system that utilizes artificial intelligence technology. It provides users with more personalized and efficient language learning services ...
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Skin lesions has grown rapidly in recent years. Detecting and treating skin lesions in its early stages can be extremely beneficial to its recovery. Using Digital image processing (DIP) to extract skin diseases from l...
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The proceedings contain 157 papers. The topics discussed include: a reversible data hiding scheme for ECG signals using CNN-PEE;design and development of in-memory-compute SRAM cell using 45nm technology;stand alone o...
ISBN:
(纸本)9798350379525
The proceedings contain 157 papers. The topics discussed include: a reversible data hiding scheme for ECG signals using CNN-PEE;design and development of in-memory-compute SRAM cell using 45nm technology;stand alone or non-standalone 5G tactical edge network architecture for military and use case scenarios;secrecy capacity optimization in RF/FSO systems: impact of mixed Rayleigh and log-normal fading with atmospheric turbulence;real-time eye-tracking mouse control system using OpenCV and facial landmark detection;a time-efficient path navigating landmine detection robot;optimizing GPS positioning: a deep learning approach to improve accuracy;a novel structure of on-chip multilayered half-turn inductor for RF applications;and low profile wideband 3 element parasitic hexagonal patch antenna.
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