Object detection and tracking play a fundamental role in enabling Cooperative Driving Automation (CDA), which is regarded as the revolutionary solution to addressing safety, mobility, sustainability issues of contemporary transportation systems. Although current computer vision technologies can provide satisfactory object results occlusion-free scenarios, perception performance onboard sensors inevitably limited by range occlusion. Owing flexible location pose for sensor installation,...

With the rapid development of intelligent vehicles and Advanced Driving Assistance Systems (ADAS), a mixed level human driver engagements is involved in transportation system. Visual guidance for drivers essential under this situation to prevent potential risks. To advance visual systems, we introduce novel sensor fusion methodology, integrating camera image Digital Twin knowledge from cloud. Target vehicle bounding box drawn matched by combining results object detector running on ego...

3D object detection plays a fundamental role in enabling autonomous driving, which is regarded as the significant key to unlocking bottleneck of contemporary transportation systems from perspectives safety, mobility, and sustainability. Most state-of-the-art (SOTA) methods point clouds are developed based on single onboard LiDAR, whose performance will be inevitably limited by range occlusion, especially dense traffic scenarios. In this paper, we propose \textit{PillarGrid}, novel...

Synovitis, acne, palmoplantar pustulosis, hyperostosis and osteitis syndrome (SAPHO) is a rare that affects the skin, bones joints. Diagnosis of SAPHO established on clinical appearance imaging features. The present case report described features three cases with sternoclavicular joint arthritis but without skin manifestations using multiple modalities, including computed tomography (CT), magnetic resonance (MRI) bone scintigraphy. first was 52-year-old male who suffered from progressive for...

Advanced driver assistance and automated driving systems rely on risk estimation modules to predict avoid dangerous situations. Current methods use expensive sensor setups complex processing pipeline, limiting their availability robustness. To address these issues, we introduce a novel deep learning based action recognition framework for classifying lane change behavior in short video clips captured by monocular camera. We designed spatiotemporal classification network that uses pre-trained...

Object perception plays a fundamental role in Cooperative Driving Automation (CDA) which is regarded as revolutionary promoter for next-generation transportation systems. However, the vehicle-based may suffer from limited sensing range and occlusion well low penetration rates connectivity. In this paper, we propose Cyber Mobility Mirror (CMM), real-world object system 3D detection, tracking, localization, reconstruction, to explore potential of roadside sensors enabling CDA real world. The...

A driver's driving performance and behavior are highly related to their cognitive workload, which corresponds as well the complexity of scenarios. Their might be impacted when through downtown on a rainy night, compared with remote countryside road sunny afternoon. Therefore, advanced intelligent vehicles should have ability assess level current scenario therefore understand workload prevent potential hazard situations. In this study, environmental information extracted from OpenStreetMap...

Cooperative perception (CP) is attracting increasing attention and regarded as the core foundation to support cooperative driving automation, a potential key solution addressing safety, mobility, sustainability issues of contemporary transportation systems. However, current research on CP still at beginning stages where systematic problem formulation missing, acting essential guideline system design under real-world situations. In this paper, we formulate universal into an optimization...

Current end-to-end retrieval-based dialogue systems are mainly based on Recurrent Neural Networks or Transformers with attention mechanisms. Although promising results have been achieved, these models often suffer from slow inference huge number of parameters. In this paper, we propose a novel lightweight fully convolutional architecture, called DialogConv, for response selection. DialogConv is exclusively built top convolution to extract matching features context and response. Dialogues...

Abstract In order to improve the fault diagnosis for rotating machinery in nuclear power plants, this paper proposes a model based on short-time Fourier transform (STFT) and Residual Network (ResNet), using information from multiple sensors. Firstly, acceleration sensors are installed different positions of motor measure vibration signals, normal condition eight typical faults simulated by mechanical simulation test platform. Then, sensor signals obtained as inputs reduce impact feature...

An Internet-based security monitoring platform including a server and some clients is described in this paper for multimedia content authentication. Contents existed the database of server, can be discovered by video hash copy detection technology will prevented from uploading. Watermark embedded into videos when they are uploaded to order protect copyright. Such watermark able extracted on client determine copyright information after requiring playing it. The proposed system implemented...

Utilizing the latest advances in Artificial Intelligence (AI), computer vision community is now witnessing an unprecedented evolution all kinds of perception tasks, particularly object detection. Based on multiple spatially separated nodes, Cooperative Perception (CP) has emerged to significantly advance automated driving. However, current cooperative detection methods mainly focus ego-vehicle efficiency without considering practical issues system-wide costs. In this paper, we introduce...

At present, the development of Internet Things (IoT) has become a significant symbol information age. And video monitoring system is an important basic work in IoT system. However, many existing usually use feature embedding method to learn more discriminative representation, while this manner very time‐consuming. learned features do not match subsequent classifiers. To solve these issues, paper proposes new video‐based fast image set classification framework, which consists learning part...

In order to cope with the special conditions of hard soil and large cutting volume in autonomous slope repair operations, existing process is improved, a real-time monitoring feedback system proposed be built for excavator using binocular vision. The includes estimation total amount cut project, judgement flatness. After experimental verification, height error camera on detection can controlled within 3cm, distance between upper edge pile 2cm, before after construction actual measurement...

A gait feature extraction method based on resampling shape context is proposed in this article. First, the moving target detection carried out to obtain area of human body. Second, cycle measured, and contour points lower limb joints are selected as sampling points. Then, different placed polar coordinates origin, number cells counted context; Finally, vectors constructed according context, minimum distance used for classification recognition. Simulation experiments tested CASIA Database B....

With the rapid development of intelligent vehicles and Advanced Driving Assistance Systems (ADAS), a mixed level human driver engagements is involved in transportation system. Visual guidance for drivers essential under this situation to prevent potential risks. To advance visual systems, we introduce novel sensor fusion methodology, integrating camera image Digital Twin knowledge from cloud. Target vehicle bounding box drawn matched by combining results object detector running on ego...