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Decision Model for Pedestrian Interacting with Traffic at Uncontrolled Intersections 25

Decision Model for Pedestrian Interacting with Traffic at Un...

引用

ieee 25th International conference on Intelligent Transportation Systems (ITSC)

作者： Tian, Kai Markkula, Gustav Wei, Chongfeng Romano, Richard Univ Leeds Inst Transport Studies Leeds LS2 9JT W Yorkshire England Queens Univ Belfast Sch Mech & Aerosp Engn Belfast BT7 1NN Antrim North Ireland

ISBN: (数字)9781665468800

ISBN: (纸本)9781665468800

With the continuous advancement of automated vehicles (AVs), there is growing concern about how AVs interact with vulnerable road users, particularly pedestrians. As a result, this emerging concern has given rise to extensive research into computational pedestrian behaviour models. However, very limited existing approaches modelled pedestrian crossing behaviour from an anthropomorphic perspective. Therefore, this study proposed a decision model for pedestrians interacting with traffic at uncontrolled intersections based on a human perception theory. Meanwhile, for the first time, we specified a kind of traffic flow-induced effect where pedestrians optimise their decisions by comparing the perceived risk of different traffic gaps. Furthermore, based on a deconstructed road-crossing decision process, we modelled pedestrian decisions and their timing in detail. A dataset collected in a CAVE-based simulator was applied to calibrate and validate the model. The results indicated that the proposed model fitted the data well and reasonably predicted pedestrian crossing decisions across a range of traffic flow scenarios. The model provides insights into the understanding and model pedestrian-AV interactions.

关键词： visualization Maximum likelihood estimation Computational modeling Roads Kinematics Predictive models Data models

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Immersive Pedigree Graph Visualisations

Immersive Pedigree Graph Visualisations

引用

28th ieee conference on Virtual Reality and 3D User Interfaces (ieee VR)

作者： Razi, Septian Gardner, Henry Adcock, Matt Australian Natl Univ Canberra ACT Australia CSIROs Data61 Canberra ACT Australia

ISBN: (纸本)9781665440578

We describe a study of six visualisation methods for hierarchical pedigree data in virtual reality. We model six different pedigree graph layouts: planar, cylinder, floor, sphere, cone (force directed) and vase layouts. Measurements of task accuracy and task completion time showed a statistically significant pairwise comparison on two task completion times between the sphere (better) and floor (worse) conditions. Likert ratings of user sentiments showed a statistically significant main effect of graph condition ratings of the understandability of the data with the sphere and vase graph layouts to be generally higher and the floor layout to be generally lower.

关键词： Human-centered computing visualization visualization techniques Graph drawings Human-centered computing visualization visualization application domains Scientific visualization Human-centered computing Human computer interaction (HCI) Interaction paradigms Virtual reality

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A Simple yet Useful Spiral visualization of Large Graphs

A Simple yet Useful Spiral Visualization of Large Graphs

引用

International conference on Visualisation, VIS

作者： Garima Jindal Kamalakar Karlapalem International Institute of Information Technology Hyderabad India

We present a Spiral visualization that facilitates users to visually comprehend large graphs. Spiral visualization is a representation that highlights key aspects of networks, including the number, size, and density of communities, important or central nodes within communities, centrality distribution within communities, connections between communities, and connections between nodes. To facilitate analysis and comprehension of networks using various interaction techniques, such as zooming, tooltip, and highlight, we have implemented a Spiral visualization dashboard. We conducted a qualitative user study incorporating observation, think-aloud protocols, and participant rating of confidence and easiness to assess the usability and suitability of our visualization. The findings suggest that our visualization is appropriate for the network tasks evaluated. However, tasks requiring color comparison, such as identifying the densest community and comparing community densities were found to be more challenging to perform.

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Mechanized construction technology of transmission line based on 3d visualization 4

Mechanized construction technology of transmission line base...

引用

4th International Academic Exchange conference on Science and Technology Innovation, IAECST 2022

作者： Nie, Kejian Fu, Benzhao Chen, Yuanhao State Grid Fujian Economic Research Institute Fuzhou China

ISBN: (纸本)9798350320008

With the rapid advancement of 3D digital design, power grid engineering has higher and higher requirements for the digital level of geographic information. According to the characteristics of electric transmission line engineering, it is proposed to apply the three-dimensional digital technology to the mechanized construction of electric transmission line engineering, and its specific application in mechanized construction is studied from the temporary access road construction, material station design, and temporary land occupation design. The analysis indicates that the application of three-dimensional digital technology can promote the transformation of construction management mode and improve construction efficiency. © 2022 ieee.

关键词： Three dimensional computer graphics

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Prototype Study of Down-View and Array Side-View visualization Logging Tool 4

Prototype Study of Down-View and Array Side-View Visualizati...

引用

4th International conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022

作者： Su, Juan Huang, Jintao Guo, Liang Xi'an Shiyou University Laboratory of Shaanxi Province for Gas & Oil Logging and Control Technology Xi'an China

ISBN: (数字)9781665486583

ISBN: (纸本)9781665486583

Downhole TV logging technology has been widely used in oil and gas well recognition, evaluation and intervention activities. Aiming at the problems existing in single-camera and dual-camera logging tools in visual logging, a logging method using multi-camera combination is proposed, and a visual logging tool prototype is designed to obtain 360-degree video images of wellbore by using array camera. The principle and working mode of the prototype are introduced, and the scheme design and system structure of the prototype are expounded. Through the modular design of the instrument, the function of obtaining axial and radial video image data of the wellbore is realized respectively. The information of the wellbore can be obtained through one downhole operation, which fills the vacancy of domestic visual logging in this aspect. © 2022 ieee.

关键词： Cameras

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Learning Effectively from Intervention for Visual-based Autonomous Driving 25

Learning Effectively from Intervention for Visual-based Auto...

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ieee 25th International conference on Intelligent Transportation Systems (ITSC)

作者： Deng, Yunfu Xu, Kun Hu, Yue Cui, Yunduan Xiang, Gengzhao Pan, Zhongming Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen 518055 Peoples R China Shenzhen Inst Artificial Intelligence & Robot Soc SIAT Branch Shenzhen 518055 Peoples R China Geely Res Inst Zhejiang Geely Holding Grp Ningbo 315336 Peoples R China Tsinghua Univ Dept Automat Beijing 100084 Peoples R China

ISBN: (数字)9781665468800

ISBN: (纸本)9781665468800

Imitation learning (IL) approaches like behavioral cloning have been used successfully to learn simple visual navigation policies by learning a large amount of data from expert driving behaviors. However, scaling up to the actual driving scenarios is still challenging for the IL approaches because they rely heavily on expert demonstrations requiring labeling every state the learner visits, which is not practical. Moreover, the expert demonstrations limit the performance upper bound. This work proposes a method to accelerate the learning efficiency inspired by human apprenticeship to promote end-to-end vision-based autonomous urban driving tasks. We employ a hierarchical structure for visual navigation, where the high-level agent is trained with the ground-truth data of the environment, and the trained policy is then executed to train a purely vision-based low-level agent. Moreover, in addition to the labeled demonstrations, the expert intervenes during the training of the low-level agent and brings efficient feedback information, interactively accelerating the training process. Such intervention provides critical knowledge that can be learned effectively for dealing with complex, challenging scenarios. We evaluate the method on the original CARLA benchmark and the more complicated NoCrash benchmark. Compared to the state-of-the-art methods, the proposed method achieves similar good results but requires fewer data and learns faster, effectively improving the sample efficiency.

关键词： Training visualization Upper bound Navigation Accelerated aging Transfer learning Benchmark testing

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UAV Mission Definition and Implementation for Visual Inspection 16

UAV Mission Definition and Implementation for Visual Inspect...

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16th conference on Computer Science and Intelligence Systems (FedCSIS)

作者： Adam, Tomas Babic, Frantisek Tech Univ Kosice Fac Elect Engn & Informat Dept Cybernet & Artificial Intelligence Letna 9 Kosice 04001 Slovakia

ISBN: (纸本)9788395918384

Although Unmanned Aerial Vehicles (UAVs) are currently still in a state of continuous development, the trend of their integration into a wide range of industries and applications is growing. It leads to risk and cost reduction but requires skilled operators. This fact motivated us to propose a new approach towards a UAV-based flight mission-definition system based on state-of-the-art waypoint-based techniques. Our solution enables the configuration and autonomous conduction of flight trajectories, whose spatial complexity exceeds the visualization capabilities of currently available solutions. Two testing scenarios confirmed our expectations;the autonomous execution of the trajectory reduced the time required in all cases by almost a half while achieving the same output as a user-controlled manual flight. The proposed solution extends the possibilities of users in creating complex flight trajectories and significantly contributes to the higher time efficiency of recurrent flights.

关键词： Industries Computer science visualization Costs Manuals Inspection Market research

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Ad²Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking 39

Ad<SUP>2</SUP>Attack: Adaptive Adversarial Attack on Real-Ti...

引用

ieee International conference on Robotics and Automation (ICRA)

作者： Fu, Changhong Li, Sihang Yuan, Xinnan Ye, Junjie Cao, Ziang Ding, Fangqiang Tongji Univ Sch Mech Engn Shanghai 201804 Peoples R China Tongji Univ Sch Automot Studies Shanghai 201804 Peoples R China Univ Edinburgh Sch Informat Edinburgh EH8 9YL Midlothian Scotland

ISBN: (纸本)9781728196817

Visual tracking is adopted to extensive unmanned aerial vehicle (UAV)-related applications, which leads to a highly demanding requirement on the robustness of UAV trackers. However, adding imperceptible perturbations can easily fool the tracker and cause tracking failures. This risk is often overlooked and rarely researched at present. Therefore, to help increase awareness of the potential risk and the robustness of UAV tracking, this work proposes a novel adaptive adversarial attack approach, i.e., Ad(2)Attack, against UAV object tracking. Specifically, adversarial examples are generated online during the resampling of the search patch image, which leads trackers to lose the target in the following frames. Ad(2)Attack is composed of a direct downsampling module and a super-resolution upsampling module with adaptive stages. A novel optimization function is proposed for balancing the imperceptibility and efficiency of the attack. Comprehensive experiments on several well-known benchmarks and real-world conditions show the effectiveness of our attack method, which dramatically reduces the performance of the most advanced Siamese trackers.

关键词： visualization Target tracking Perturbation methods Superresolution Benchmark testing Autonomous aerial vehicles Robustness

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Joint Probability Evaluation Model and Risk visualization Method of Line Outage Risk Caused by Wildfires Based on PSO - RF 3

Joint Probability Evaluation Model and Risk Visualization Me...

引用

3rd International conference on Computer Science, Electronic information Engineering and Intelligent Control Technology, CEI 2023

作者： Lei, Li Zhou, Xiaojing Fu, Mengdi Zhang, Lei Liu, Yimin Luo, Yazhou Lin, Baisen Xie, Congzhen North China Branch of the State Grid Corporation of China Beijing China South China University of Technology Guangzhou China

ISBN: (纸本)9798350372052

Wildfire disasters can easily cause overhead transmission lines to trip, threatening the stable operation of the power grid. In order to accurately predict the risk probability of transmission line trip induced by wildfires, this paper considers the influence of historical meteorological data and environmental vegetation characteristics on the probability of wildfire tripping, and proposes a joint probability evaluation model of line outage risk caused by wildfires based on Particle Swarm algorithm to optimize (PSO) Random Forest (RF). Firstly, the dataset of line outage caused by wildfires was constructed based on the historical data measured by North China Power Grid, which included meteorological spatiotemporal data and line environmental vegetation characteristics, with a total of 489 samples. Secondly, an RF-based joint probability evaluation model for wildfire tripping of transmission lines was proposed, and the PSO algorithm was used to optimize the RF hyperparameters to further improve the prediction accuracy of the model. The above feature datasets are used to train and test the performance of the proposed model, and the logistic regression, linear discriminant, neural network and gradient boosting models are compared in turn, and the results show that the performance of the proposed model is the best. Finally, the random forest algorithm was used to predict the probability of wildfires on transmission lines, and the natural discontinuity method was used to classify the fire risk at five levels, and the fire risk distribution map was drawn. Based on the wildfire occurrence model and the wildfire-induced tripping model, the joint probability evaluation model of wildfire tripping of transmission lines is obtained, with an accuracy of 95.71% and a confidence of 90.99%, which can provide some theoretical guidance for disaster prevention and mitigation of power grid. © 2023 ieee.

关键词： Disasters

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Digital Infrastructures for Scholarly Content Objects 21

Digital Infrastructures for Scholarly Content Objects

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21st ACM/ieee Joint conference on Digital Libraries (JCDL)

作者： Schneider, Jodi de Waard, Anita Balke, Wolf-Tilo Wang, Xiaoguang Song, Ningyuan Hua, Bolin Fu, Yuanxi Univ Illinois Sch Informat Sci Champaign IL 61820 USA Elsevier Res Collaborat Unit Jericho VT USA Tech Univ Carolo Wilhelmina Braunschweig Inst Informat Syst Braunschweig Germany Wuhan Univ Sch Informat Management Wuhan Peoples R China Nanjing Univ Sch Informat Management Nanjing Peoples R China Peking Univ Dept Informat Management Beijing Peoples R China

ISBN: (纸本)9781665417709

As digital libraries make the dissemination of research publications easier, they also enable the propagation of invalid or unreliable knowledge. Examples of relevant problems include: retraction and inadvertent citation and reuse of retracted papers [1], [2]; propagation of errors in literature and scientific databases [3], [4]; non-reproducible papers; known domain-specific issues such as cell line contamination [5]; bias in research datasets and publications [6]–[8]; systematic reviews that arrive at different conclusions about the same question at the same time [9], [10]. The digital environment facilitates broad interdisciplinary reuse beyond the originating scientific community; thus, marking known problems and tracing the impact on dependent and follow-on works is particularly important (but still under-addressed). Further, context-specific information inside a paper may not be immediately reusable when extracted by automated processes, leading to apparent contradictions [11]. Current mitigating approaches use the underlying reasoning for information retrieval [12], [13], develop new infrastructures analyzing the reasoning [14]–[16] or certainty [17] of statements, or use visualization to highlight possible discrepancies [10], [15].

关键词： visualization Systematics Databases information retrieval Libraries Cognition Data mining

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