Artigos de revistas sobre o tema "Multi-Objects perception"
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Martín, Francisco, Carlos E. Agüero e José M. Cañas. "Active Visual Perception for Humanoid Robots". International Journal of Humanoid Robotics 12, n.º 01 (março de 2015): 1550009. http://dx.doi.org/10.1142/s0219843615500097.
Texto completo da fonteO’Sullivan, James, Jose Herrero, Elliot Smith, Catherine Schevon, Guy M. McKhann, Sameer A. Sheth, Ashesh D. Mehta e Nima Mesgarani. "Hierarchical Encoding of Attended Auditory Objects in Multi-talker Speech Perception". Neuron 104, n.º 6 (dezembro de 2019): 1195–209. http://dx.doi.org/10.1016/j.neuron.2019.09.007.
Texto completo da fonteHan, Dong, Hong Nie, Jinbao Chen, Meng Chen, Zhen Deng e Jianwei Zhang. "Multi-modal haptic image recognition based on deep learning". Sensor Review 38, n.º 4 (17 de setembro de 2018): 486–93. http://dx.doi.org/10.1108/sr-08-2017-0160.
Texto completo da fonteLisowski, Józef. "Radar Perception of Multi-Object Collision Risk Neural Domains during Autonomous Driving". Electronics 13, n.º 6 (13 de março de 2024): 1065. http://dx.doi.org/10.3390/electronics13061065.
Texto completo da fonteLi, Yucheng, Fei Wang, Liangze Tao e Juan Wu. "Multi-Modal Haptic Rendering Based on Genetic Algorithm". Electronics 11, n.º 23 (24 de novembro de 2022): 3878. http://dx.doi.org/10.3390/electronics11233878.
Texto completo da fonteZhou, Wenjun, Tianfei Wang, Xiaoqin Wu, Chenglin Zuo, Yifan Wang, Quan Zhang e Bo Peng. "Salient Object Detection via Fusion of Multi-Visual Perception". Applied Sciences 14, n.º 8 (18 de abril de 2024): 3433. http://dx.doi.org/10.3390/app14083433.
Texto completo da fonteHirsch, Herb L., e Cathleen M. Moore. "Simulating Light Source Motion in Single Images for Enhanced Perceptual Object Detection". Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 9, n.º 3 (22 de fevereiro de 2012): 269–78. http://dx.doi.org/10.1177/1548512911431814.
Texto completo da fonteMarmodoro, Anna, e Matteo Grasso. "THE POWER OF COLOR". American Philosophical Quarterly 57, n.º 1 (1 de janeiro de 2020): 65–78. http://dx.doi.org/10.2307/48570646.
Texto completo da fonteWang, Li, Ruifeng Li, Jingwen Sun, Xingxing Liu, Lijun Zhao, Hock Soon Seah, Chee Kwang Quah e Budianto Tandianus. "Multi-View Fusion-Based 3D Object Detection for Robot Indoor Scene Perception". Sensors 19, n.º 19 (21 de setembro de 2019): 4092. http://dx.doi.org/10.3390/s19194092.
Texto completo da fonteZhu, Jinchao, Xiaoyu Zhang, Shuo Zhang e Junnan Liu. "Inferring Camouflaged Objects by Texture-Aware Interactive Guidance Network". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 4 (18 de maio de 2021): 3599–607. http://dx.doi.org/10.1609/aaai.v35i4.16475.
Texto completo da fonteShao, Zhiyu, Juan Wu, Qiangqiang Ouyang, Cong He e Zhiyong Cao. "Multi-Layered Perceptual Model for Haptic Perception of Compliance". Electronics 8, n.º 12 (7 de dezembro de 2019): 1497. http://dx.doi.org/10.3390/electronics8121497.
Texto completo da fonteYang, Mingliang, Kun Jiang, Junze Wen, Liang Peng, Yanding Yang, Hong Wang, Mengmeng Yang, Xinyu Jiao e Diange Yang. "Real-Time Evaluation of Perception Uncertainty and Validity Verification of Autonomous Driving". Sensors 23, n.º 5 (6 de março de 2023): 2867. http://dx.doi.org/10.3390/s23052867.
Texto completo da fonteWu, Shuiye, Yunbing Yan e Weiqiang Wang. "CF-YOLOX: An Autonomous Driving Detection Model for Multi-Scale Object Detection". Sensors 23, n.º 8 (7 de abril de 2023): 3794. http://dx.doi.org/10.3390/s23083794.
Texto completo da fonteYu, Hai-Tao, e Mofei Song. "MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 7 (24 de março de 2024): 6773–81. http://dx.doi.org/10.1609/aaai.v38i7.28501.
Texto completo da fonteThomason, Jesse, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone e Raymond Mooney. "Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog". Journal of Artificial Intelligence Research 67 (26 de fevereiro de 2020): 327–74. http://dx.doi.org/10.1613/jair.1.11485.
Texto completo da fonteGiachritsis, Christos D., Manuel Ferre, Jordi Barrio e Alan M. Wing. "Unimanual and bimanual weight perception of virtual objects with a new multi-finger haptic interface". Brain Research Bulletin 85, n.º 5 (junho de 2011): 271–75. http://dx.doi.org/10.1016/j.brainresbull.2011.03.017.
Texto completo da fonteGu, Haiwei, Shaowei Fan, Hua Zong, Minghe Jin e Hong Liu. "Haptic Perception of Unknown Object by Robot Hand: Exploration Strategy and Recognition Approach". International Journal of Humanoid Robotics 13, n.º 03 (23 de agosto de 2016): 1650008. http://dx.doi.org/10.1142/s0219843616500080.
Texto completo da fonteDong, Xiaoyu, Zhihong Xi, Xu Sun e Lianru Gao. "Transferred Multi-Perception Attention Networks for Remote Sensing Image Super-Resolution". Remote Sensing 11, n.º 23 (1 de dezembro de 2019): 2857. http://dx.doi.org/10.3390/rs11232857.
Texto completo da fonteChen, Jun, Zhengyang Yu e Cunjian Yang. "Key point extraction method for spatial objects in high-resolution remote sensing images based on multi-hot cross-entropy loss". Open Geosciences 14, n.º 1 (1 de janeiro de 2022): 1409–20. http://dx.doi.org/10.1515/geo-2022-0393.
Texto completo da fonteZagorskas, Jurgis, e Zenonas Turskis. "MULTI‐ATTRIBUTE MODEL FOR ESTIMATION OF RETAIL CENTRES INFLUENCE ON THE CITY STRUCTURE. KAUNAS CITY CASE STUDY". Technological and Economic Development of Economy 12, n.º 4 (31 de dezembro de 2006): 347–52. http://dx.doi.org/10.3846/13928619.2006.9637765.
Texto completo da fonteMcMullin, Margaret A., Nathan C. Higgins, Brian Gygi, Rohit Kumar, Mounya Elhilali e Joel S. Snyder. "Perception of global properties, objects, and settings in natural auditory scenes". Journal of the Acoustical Society of America 153, n.º 3_supplement (1 de março de 2023): A329. http://dx.doi.org/10.1121/10.0019028.
Texto completo da fonteSun, Teng, Zhe Zhang, Zhonghua Miao e Wen Zhang. "A Recognition Method for Soft Objects Based on the Fusion of Vision and Haptics". Biomimetics 8, n.º 1 (20 de fevereiro de 2023): 86. http://dx.doi.org/10.3390/biomimetics8010086.
Texto completo da fonteWang, Jiayu, Ye Liu, Yongjian Zhu, Dong Wang e Yu Zhang. "3D Point Cloud Object Detection Method Based on Multi-Scale Dynamic Sparse Voxelization". Sensors 24, n.º 6 (11 de março de 2024): 1804. http://dx.doi.org/10.3390/s24061804.
Texto completo da fonteSenel, Numan, Gordon Elger, Klaus Kefferpütz e Kristina Doycheva. "Multi-Sensor Data Fusion for Real-Time Multi-Object Tracking". Processes 11, n.º 2 (7 de fevereiro de 2023): 501. http://dx.doi.org/10.3390/pr11020501.
Texto completo da fonteFan, Chongshan, Hongpeng Wang, Zhongzhi Cao, Xinwei Chen e Li Xu. "Path Planning of Autonomous 3-D Scanning and Reconstruction for Robotic Multi-Model Perception System". Machines 11, n.º 1 (26 de dezembro de 2022): 26. http://dx.doi.org/10.3390/machines11010026.
Texto completo da fonteMirkovic, Bojana, e Dejan Popovic. "Prosthetic hand sensor placement: Analysis of touch perception during the grasp". Serbian Journal of Electrical Engineering 11, n.º 1 (2014): 1–10. http://dx.doi.org/10.2298/sjee131004001m.
Texto completo da fonteLiu, Zihang, e Quande Wang. "Edge-Enhanced Dual-Stream Perception Network for Monocular Depth Estimation". Electronics 13, n.º 9 (25 de abril de 2024): 1652. http://dx.doi.org/10.3390/electronics13091652.
Texto completo da fonteYe, Zixun, Hongying Zhang, Jingliang Gu e Xue Li. "YOLOv7-3D: A Monocular 3D Traffic Object Detection Method from a Roadside Perspective". Applied Sciences 13, n.º 20 (17 de outubro de 2023): 11402. http://dx.doi.org/10.3390/app132011402.
Texto completo da fonteLi, Jinghui, Feng Shao, Qiang Liu e Xiangchao Meng. "Global-Local Collaborative Learning Network for Optical Remote Sensing Image Change Detection". Remote Sensing 16, n.º 13 (27 de junho de 2024): 2341. http://dx.doi.org/10.3390/rs16132341.
Texto completo da fonteGuo, Jinghua, Jingyao Wang, Huinian Wang, Baoping Xiao, Zhifei He e Lubin Li. "Research on Road Scene Understanding of Autonomous Vehicles Based on Multi-Task Learning". Sensors 23, n.º 13 (7 de julho de 2023): 6238. http://dx.doi.org/10.3390/s23136238.
Texto completo da fonteRövid, András, Viktor Remeli, Norbert Paufler, Henrietta Lengyel, Máté Zöldy e Zsolt Szalay. "Towards Reliable Multisensory Perception and Its Automotive Applications". Periodica Polytechnica Transportation Engineering 48, n.º 4 (7 de julho de 2020): 334–40. http://dx.doi.org/10.3311/pptr.15921.
Texto completo da fonteLi, Peng, Dezheng Zhang, Aziguli Wulamu, Xin Liu e Peng Chen. "Semantic Relation Model and Dataset for Remote Sensing Scene Understanding". ISPRS International Journal of Geo-Information 10, n.º 7 (17 de julho de 2021): 488. http://dx.doi.org/10.3390/ijgi10070488.
Texto completo da fonteMeng, Qiao, Huansheng Song, Gang Li, Yu’an Zhang e Xiangqing Zhang. "A Block Object Detection Method Based on Feature Fusion Networks for Autonomous Vehicles". Complexity 2019 (6 de fevereiro de 2019): 1–14. http://dx.doi.org/10.1155/2019/4042624.
Texto completo da fonteAlabdulkreem, Eatedal, Jaber Alzahrani, Nadhem Nemri, Olayan Alharbi, Abdullah Mohamed, Radwa Marzouk e Anwer Hilal. "Computational Intelligence with Wild Horse Optimization Based Object Recognition and Classification Model for Autonomous Driving Systems". Applied Sciences 12, n.º 12 (20 de junho de 2022): 6249. http://dx.doi.org/10.3390/app12126249.
Texto completo da fonteMatignon, Laetitia, Laurent Jeanpierre e Abdel-Illah Mouaddib. "DECENTRALIZED MULTI-ROBOT PLANNING TO EXPLORE AND PERCEIVE". Acta Polytechnica 55, n.º 3 (30 de junho de 2015): 169–76. http://dx.doi.org/10.14311/ap.2015.55.0169.
Texto completo da fonteHan, Tong, Tieyong Cao, Yunfei Zheng, Lei Chen, Yang Wang e Bingyang Fu. "Improving the Detection and Positioning of Camouflaged Objects in YOLOv8". Electronics 12, n.º 20 (11 de outubro de 2023): 4213. http://dx.doi.org/10.3390/electronics12204213.
Texto completo da fonteWang, Liman, e Jihong Zhu. "Deformable Object Manipulation in Caregiving Scenarios: A Review". Machines 11, n.º 11 (7 de novembro de 2023): 1013. http://dx.doi.org/10.3390/machines11111013.
Texto completo da fonteChen, Liru, Hantao Zhao, Chenhui Shi, Youbo Wu, Xuewen Yu, Wenze Ren, Ziyi Zhang e Xiaomeng Shi. "Enhancing Multi-Modal Perception and Interaction: An Augmented Reality Visualization System for Complex Decision Making". Systems 12, n.º 1 (25 de dezembro de 2023): 7. http://dx.doi.org/10.3390/systems12010007.
Texto completo da fonteZhou, Ziqi, Zheng Wang, Huchuan Lu, Song Wang e Meijun Sun. "Multi-Type Self-Attention Guided Degraded Saliency Detection". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 07 (3 de abril de 2020): 13082–89. http://dx.doi.org/10.1609/aaai.v34i07.7010.
Texto completo da fonteSharifzadeh, Sahand, Sina Moayed Baharlou e Volker Tresp. "Classification by Attention: Scene Graph Classification with Prior Knowledge". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 6 (18 de maio de 2021): 5025–33. http://dx.doi.org/10.1609/aaai.v35i6.16636.
Texto completo da fonteJiao, Yang, Zequn Jie, Shaoxiang Chen, Lechao Cheng, Jingjing Chen, Lin Ma e Yu-Gang Jiang. "Instance-Aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 3 (24 de março de 2024): 2598–606. http://dx.doi.org/10.1609/aaai.v38i3.28037.
Texto completo da fonteZhang, Xiao, Bingrong Xu e Liping Lu. "High-quality 3D Object Detection Based on Instance-aware Sampling". Journal of Physics: Conference Series 2674, n.º 1 (1 de dezembro de 2023): 012025. http://dx.doi.org/10.1088/1742-6596/2674/1/012025.
Texto completo da fonteZhao, Hongzhuan, Dihua Sun, Min Zhao e Senlin Cheng. "A Multi-Classification Method of Improved SVM-based Information Fusion for Traffic Parameters Forecasting". PROMET - Traffic&Transportation 28, n.º 2 (25 de abril de 2016): 117–24. http://dx.doi.org/10.7307/ptt.v28i2.1643.
Texto completo da fonteWang, Li, Ruifeng Li, Hezi Shi, Jingwen Sun, Lijun Zhao, Hock Seah, Chee Quah e Budianto Tandianus. "Multi-Channel Convolutional Neural Network Based 3D Object Detection for Indoor Robot Environmental Perception". Sensors 19, n.º 4 (21 de fevereiro de 2019): 893. http://dx.doi.org/10.3390/s19040893.
Texto completo da fontePhupattanasilp, Pilaiwan, e Sheau-Ru Tong. "Augmented Reality in the Integrative Internet of Things (AR-IoT): Application for Precision Farming". Sustainability 11, n.º 9 (9 de maio de 2019): 2658. http://dx.doi.org/10.3390/su11092658.
Texto completo da fonteYang, Shuo, Yongqi Wang, Xiaofeng Ji e Xinxiao Wu. "Multi-Modal Prompting for Open-Vocabulary Video Visual Relationship Detection". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 7 (24 de março de 2024): 6513–21. http://dx.doi.org/10.1609/aaai.v38i7.28472.
Texto completo da fonteKong, Yanzi, Feng Zhu, Haibo Sun, Zhiyuan Lin e Qun Wang. "A Generic View Planning System Based on Formal Expression of Perception Tasks". Entropy 24, n.º 5 (20 de abril de 2022): 578. http://dx.doi.org/10.3390/e24050578.
Texto completo da fonteLiu, Yong, Cheng Li, Jiade Huang e Ming Gao. "MineSDS: A Unified Framework for Small Object Detection and Drivable Area Segmentation for Open-Pit Mining Scenario". Sensors 23, n.º 13 (27 de junho de 2023): 5977. http://dx.doi.org/10.3390/s23135977.
Texto completo da fonteZhang, Rong, Zhongjie Zhu, Long Li, Yongqiang Bai e Jiong Shi. "BFE-Net: Object Detection with Bidirectional Feature Enhancement". Electronics 12, n.º 21 (3 de novembro de 2023): 4531. http://dx.doi.org/10.3390/electronics12214531.
Texto completo da fonteHua, Xia, Xinqing Wang, Ting Rui, Dong Wang e Faming Shao. "Real-Time Object Detection in Remote Sensing Images Based on Visual Perception and Memory Reasoning". Electronics 8, n.º 10 (11 de outubro de 2019): 1151. http://dx.doi.org/10.3390/electronics8101151.
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