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125 result(s) for “Sparse Bayesian Classification” Page 1 of 3
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Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-Based Occupancy Mapping
Duong, Thai,Yip, Michael C.,Atanasov, Nikolay
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Towards Visual Classification under Class Ambiguity
Viktor Kozák, Jan Mikula, Luká� Bertl, Karel Kosnar, Libor Preucil
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Bayesian Inference of Fog Visibility from LiDAR Point Clouds and Correlation with Probabilities of Detection
karl montalban, Christophe Reymann, Dinesh Atchuthan, Paul-Édouard Dupouy, Nicolas Riviere, Simon Lacroix
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Advanced Manufacturing Configuration by Sample-Efficient Batch Bayesian Optimization
Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros
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Convolutional Bayesian Kernel Inference for 3D Semantic Mapping
Joseph Wilson, Yuewei Fu, Arthur Zhang, Jingyu Song, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
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Physically Consistent Preferential Bayesian Optimization for Food Arrangement
Yuhwan Kwon, Yoshihisa Tsurumine, Takeshi Shimmura, Sadao Kawamura, Takamitsu Matsubara
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Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks
Xinyang Wu, Mohamed El-Shamouty, Christof Nitsche, Marco F. Huber
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Bayesian Deep Learning for Affordance Segmentation in Images
LORENZO MUR LABADIA, Ruben Martinez-Cantin, Josechu Guerrero
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BO-ICP: Initialization of Iterative Closest Point Based on Bayesian Optimization
Harel Biggie, Andrew Beathard, Christoffer Heckman
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Goal-Image Conditioned Dynamic Cable Manipulation through Bayesian Inference and Multi-Objective Black-Box Optimization
Kuniyuki Takahashi, Tadahiro Taniguchi
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Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing
Joshua Ott, Edward Balaban, Mykel Kochenderfer
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Long-Term Visual SLAM with Bayesian Persistence Filter Based Global Map Prediction
Tianchen Deng, Hongle Xie, Jingchuan Wang, Weidong Chen
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Switching Attention in Time-Varying Environments Via Bayesian Inference of Abstractions
Meghan Booker, Anirudha Majumdar
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Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference
Lu Gan, Youngji Kim, J.W Grizzle, Jeffrey Walls, Ayoung Kim, Ryan Eustice, Maani Ghaffari
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Robotic Sonographer: Autonomous Robotic Ultrasound Using Domain Expertise in Bayesian Optimization
Deepak Raina, SH Chandrashekhara, Richard Voyles, Juan Wachs, Subir Kumar Saha
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DS-K3DOM: 3-D Dynamic Occupancy Mapping with Kernel Inference and Dempster-Shafer Evidential Theory
Juyeop Han, Youngjae Min, Hyeok-Joo Chae, Byeongmin Jeong, Han-Lim Choi
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VINet: Visual and Inertial-Based Terrain Classification and Adaptive Navigation Over Unknown Terrain
Tianrui Guan, Ruitao SONG, Zhixian Ye, Liangjun Zhang
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Credible Online Dynamics Learning for Hybrid UAVs
David Rohr, Nicholas Lawrance, Olov Andersson, Roland Siegwart
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GMM Registration: a Probabilistic scan matching approach for sonar-based AUV navigation
Pau Vial, Miguel Malagón Pedrosa, Ricard Segura, Narcis Palomeras, Marc Carreras
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Towards Unsupervised Filtering of Millimetre-Wave Radar Returns for Autonomous Vehicle Road Following
Dean Sacoransky, Joshua A. Marshall, Keyvan Hashtrudi-Zaad
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Semantic-SuPer: A Semantic-Aware Surgical Perception Framework for Endoscopic Tissue Classification, Reconstruction, and Tracking
Shan Lin, Albert Miao, Jingpei Lu, Shunkai Yu, Zih-Yun Chiu, Florian Richter, Michael C. Yip
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Improved Benthic Classification Using Resolution Scaling and SymmNet Unsupervised Domain Adaptation
Heather Doig, Oscar Pizarro, Stefan B. Williams
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Semantic Mapping with Confidence Scores through Metric Embeddings and Gaussian Process Classification
Jungseok Hong, Suveer Garg, Volkan Isler
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Robust Uncertainty Estimation for Classification of Maritime Objects
Jonathan Becktor, Frederik Schöller, Evangelos Boukas, Lazaros Nalpantidis
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Active Metric-Semantic Mapping by Multiple Aerial Robots
Xu Liu, Ankit Prabhu, Fernando Cladera Ojeda, Ian Miller, Lifeng Zhou, Camillo Jose Taylor, Vijay Kumar
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Multi-Head Attention Machine Learning for Fault Classification in Mixed Autonomous and Human-Driven Vehicle Platoons
Theodore Wu, Satvick Acharya, Abdelrahman Khalil, Ahmed AlJanaideh, Mohammad Al Janaideh, Deepa Kundur
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Touch Classification on Robotic Skin using Multimodal Tactile Sensing Modules
Min Jin Yang, Junhwi Cho, Hyunjo Chung, Kyungseo Park, Jung Kim
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A Unified BEV Model for Joint Learning of 3D Local Features and Overlap Estimation
Lin Li, Wendong Ding, YongKun Wen, Yufei Liang, Yong Liu, Guowei Wan
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Towards True Lossless Sparse Communication in Multi-Agent Systems
Seth Karten, Mycal Tucker, Siva Kailas, Katia Sycara
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Data-Driven Optimal Control under Safety Constraints Using Sparse Koopman Approximation
Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen
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Sparse-Dense Motion Modelling and Tracking for Manipulation without Prior Object Models
Christian Rauch, Ran Long, Vladimir Ivan, Sethu Vijayakumar
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Dealing with Sparse Rewards in Continuous Control Robotics Via Heavy-Tailed Policy Optimization
SOURADIP CHAKRABORTY, Amrit Singh Bedi, Kasun Weerakoon Kulathun Mudiyanselage, Prithvi Poddar, Alec Koppel, Pratap Tokekar, Dinesh Manocha
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Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control
Murad Elnagdi, Nils Dengler, Jorge de Heuvel, Maren Bennewitz
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FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
Jishnu Jaykumar P, Yu-Wei Chao, Yu Xiang
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Light-Weight Pointcloud Representation with Sparse Gaussian Process
Mahmoud Ali, Lantao Liu
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Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems
Alexander Ororbia, Ankur Mali
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SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations
Xingguang Zhong, Yue Pan, Jens Behley, Cyrill Stachniss
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Real-Time Generative Grasping with Spatio-Temporal Sparse Convolution
Tim Player, Dongsik Chang, Fuxin Li, Geoffrey Hollinger
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Direct and Sparse Deformable Tracking
Jose Lamarca, Juan Jose Gomez Rodriguez, Juan D. Tardos, J.M.M Montiel
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Faster-LIO: Lightweight Tightly Coupled Lidar-Inertial Odometry Using Parallel Sparse Incremental Voxels
Chunge Bai, Tao Xiao, Yajie Chen, Haoqian Wang, Fang Zhang, Xiang Gao
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Self-Adaptive Teaching-Learning-Based Optimizer with Improved RBF and Sparse Autoencoder for Complex Optimization Problems
Jing Bi, Ziqi Wang, Haitao Yuan, Junfei Qiao, Jia Zhang, MengChu Zhou
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Learnable Tegotae-Based Feedback in CPGs with Sparse Observation Produces Efficient and Adaptive Locomotion
Christopher Herneth, Mitsuhiro Hayashibe, Dai Owaki
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COLA: COarse LAbel Pre-Training for 3D Semantic Segmentation of Sparse LiDAR Datasets
Jules Sanchez, François GOULETTE, Jean-Emmanuel Deschaud
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Structure PLP-SLAM: Efficient Sparse Mapping and Localization Using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras
Fangwen Shu, Jiaxuan Wang, Alain Pagani, Didier Stricker
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How Many Events Do You Need? Event-Based Visual Place Recognition Using Sparse but Varying Pixels
Tobias Fischer, Michael J Milford
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LODE: Locally Conditioned Eikonal Implicit Scene Completion from Sparse LiDAR
Pengfei Li, Ruowen Zhao, Yongliang Shi, Hao Zhao, Jirui Yuan, Guyue Zhou, Ya-Qin Zhang
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Probabilistic Rare-Event Verification for Temporal Logic Robot Tasks
Guy Scher, Sadra Sadraddini, Hadas Kress-Gazit
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Unsupervised RGB-To-Thermal Domain Adaptation Via Multi-Domain Attention Network
Lu Gan, Connor Lee, Soon-Jo Chung
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Enable Natural Tactile Interaction for Robot Dog Based on Large-Format Distributed Flexible Pressure Sensors
Lishuang Zhan, Yancheng Cao, QiTai Chen, Haole Guo, Jiasi Gao, Yiyue Luo, Shihui Guo, Guyue Zhou, Jiangtao Gong
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Monocular Visual-Inertial Depth Estimation
Diana Wofk, Rene Ranftl, Matthias Müller, Vladlen Koltun
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