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AB008. The impact of affect on environmental scene perception

Annals of Eye Science 2019年第1期 183-183页

作者： Corina Lacombe Stephanie Pietrangelo Aaron Johnson Department of Psychology Arts and ScienceConcordia UniversityMontréalQCCanada CRIR/Centre de réadaptation MAB-Mackay du CIUSSS du Centre-Ouest-de-l’Île-de-Montréal MontréalQCCanada

Background:The environment that individuals are surrounded by have been linked to have an effect on affect,like anxiety,and *** a whole,rural and natural environment scenes have been showed through previous research to increase positive affect and *** now,the methods of assessing affect in relation to environmental scene perception have been studied in a healthy sample,and mostly via self-report questionnaires and heart ***,we present a novel quantitative research study that uses frontal electroencephalography(EEG)asymmetry to investigate the impact of viewing images of environmental scenes on affect in a sample of self-reported sub-clinically anxious *** EEG asymmetry has previously been used in research related to motivation and assessing emotional affect,with most researchers showing greater left-frontal hemisphere activity compared to the right being associated with positive affect and approach ***,frontal asymmetry EEG can be used to explore the impact of scene perception on ***:Forty-six participants(18-52 years)took part in the *** determine the psychophysiological predictors of affect,specifically anxiety,we monitored brain activity using EEG,while participants viewed a series of natural and man-made images on a computer *** images consisted of beaches,forests,meadows,mountains,***-made images consisted of cityscapes,construction sites,highways,skyscrapers and street *** was Fourier transformed,and the alpha-band frequencies(8-12 Hz)isolated and averaged across each image ***:Preliminary analysis of frontal-asymmetry shows that individuals with sub-clinical levels of anxiety experience significantly more negative affect(i.e.,increased right asymmetry in alpha bands,(M=−3.15,SD=0.63)when viewing man-made images compared to control participants(M=−1.02,SD=0.67).These preliminary results contrast to when viewing natural images,whereby both controls a

关键词： Anxiety affect scene perception frontal-asymmetry electroencephalography(EEG)

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Intelligent Sensing and Control of Road Construction Robot scenes Based on Road Construction

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Structural Durability & Health Monitoring 2024年第2期18卷 111-124页

作者： Zhongping Chen Weigong Zhang School of Instrument Science and Engineering Southeast UniversityNanjing210096China

Automatic control technology is the basis of road robot improvement,according to the characteristics of construction equipment and functions,the research will be input type perception from positioning acquisition,real-world monitoring,the process will use RTK-GNSS positional perception technology,by projecting the left side of the earth from Gauss-Krueger projection method,and then carry out the Cartesian conversion based on the characteristics of drawing;steering control system is the core of the electric drive unmanned module,on the basis of the analysis of the composition of the steering system of unmanned engineering vehicles,the steering system key components such as direction,torque sensor,drive motor and other models are established,the joint simulation model of unmanned engineering vehicles is established,the steering controller is designed using the PID method,the simulation results show that the control method can meet the construction path demand for automatic *** path planning will first formulate the construction area with preset values and realize the steering angle correction during driving by PID algorithm,and never realize the construction-based path planning,and the results show that the method can control the straight path within the error of 10 cm and the curve error within 20 *** the collaboration of various modules,the automatic construction simulation results of this robot show that the design path and control method is effective.

关键词： scene perception remote control technology cartesian coordinate system construction robot highway construction

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ST-SIGMA:Spatio-temporal semantics and interaction graph aggregation for multi-agent perception and trajectory forecasting

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CAAI Transactions on Intelligence Technology 2022年第4期7卷 744-757页

作者： Yang Fang Bei Luo Ting Zhao Dong He Bingbing Jiang Qilie Liu School of Computer Science and Technology Chongqing University of Posts and TelecommunicationsChongqingChina School of Communication and Information Engineering Chongqing University of Posts and TelecommunicationsChongqingChina School of Electrical Engineering Korea Advanced Institute of Science and Technology(KAIST)DaejeonRepublic of Korea School of Information Science and Technology Hangzhou Normal UniversityHangzhouChina

scene perception and trajectory forecasting are two fundamental challenges that are crucial to a safe and reliable autonomous driving(AD)***,most proposed methods aim at addressing one of the two challenges mentioned above with a single *** tackle this dilemma,this paper proposes spatio-temporal semantics and interaction graph aggregation for multi-agent perception and trajectory forecasting(STSIGMA),an efficient end-to-end method to jointly and accurately perceive the AD environment and forecast the trajectories of the surrounding traffic agents within a unified ***-SIGMA adopts a trident encoder-decoder architecture to learn scene semantics and agent interaction information on bird’s-eye view(BEV)maps ***,an iterative aggregation network is first employed as the scene semantic encoder(SSE)to learn diverse scene *** preserve dynamic interactions of traffic agents,ST-SIGMA further exploits a spatio-temporal graph network as the graph interaction ***,a simple yet efficient feature fusion method to fuse semantic and interaction features into a unified feature space as the input to a novel hierarchical aggregation decoder for downstream prediction tasks is *** experiments on the nuscenes data set have demonstrated that the proposed ST-SIGMA achieves significant improvements compared to the state-of-theart(SOTA)methods in terms of scene perception and trajectory forecasting,***,the proposed approach outperforms SOTA in terms of model generalisation and robustness and is therefore more feasible for deployment in realworld AD scenarios.

关键词： feature fusion graph interaction hierarchical aggregation scene perception scene semantics trajectory forecasting

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ClusterSLAM:A SLAM backend for simultaneous rigid body clustering and motion estimation

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Computational Visual Media 2021年第1期7卷 87-101页

作者： Jiahui Huang Sheng Yang Zishuo Zhao Yu-Kun Lai Shi-Min Hu BNRist Department of Computer Science and TechnologyTsinghua UniversityBeijing 100084China Alibaba A.I.Labs Hangzhou 311121China School of Computer Science and Informatics Cardiff UniversityCardiffCF243AAUK

We present a practical backend for stereo visual SLAM which can simultaneously discover individual rigid bodies and compute their motions in dynamic *** recent factor graph based state optimization algorithms have shown their ability to robustly solve SLAM problems by treating dynamic objects as outliers,their dynamic motions are rarely *** this paper,we exploit the consensus of 3 D motions for landmarks extracted from the same rigid body for clustering,and to identify static and dynamic objects in a unified ***,our algorithm builds a noise-aware motion affinity matrix from landmarks,and uses agglomerative clustering to distinguish rigid *** decoupled factor graph optimization to revise their shapes and trajectories,we obtain an iterative scheme to update both cluster assignments and motion estimation *** on both synthetic scenes and KITTI demonstrate the capability of our approach,and further experiments considering online efficiency also show the effectiveness of our method for simultaneously tracking ego-motion and multiple objects.

关键词： dynamic SLAM motion segmentation scene perception

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Investigating reading through the co-registration of eye movements and EEG

Investigating reading through the co-registration of eye mov...

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第二十届全国心理学学术会议--心理学与国民心理健康

作者： Simon P.Liversedge Psychology University of Southampton

In this talk I will start by briefly discussing research in which I have used several different eye movement paradigms to investigate the visual and cognitive processes that occur during reading and scene perception. I will then move to some more recent work in which we have been using co-registration methods(simultaneous eye movement and EEG recordings) to investigate the neural correlates of visual, orthographic and lexical processes that occur during fixations in natural reading. Although I will discuss results from several such experiments, for brevity’s sake, here I present details of just one as an example. We manipulated two target words embedded in each experimental sentence for parafoveal preview and word frequency using the boundary paradigm. Before crossing the boundary, a preview of the identical target word, a string of letters, or a string of Xs was presented. After crossing the boundary, previews were replaced by the targets which were high or low frequency words. Eye movements were analysed for pre-target and target words and Fixation Related Potentials(FRPs) time-locked to fixation onsets of pre-target and target words were analysed within a time-window of 250 ms. Robust effects of frequency and preview occurred in the eye movement record, whilst FRP correlates occurred exclusively for the preview effects. I will discuss the findings from this and other experiments in relation to(1) visual and linguistic foveal and parafoveal processes that occur during fixations on words, and(2) what it means(theoretically) to obtain consistent, as well as inconsistent, effects across methods.

关键词： reading scene perception EEG eye movement

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