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1642 result(s) for “Probability and Statistical Methods” Page 1 of 33
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Statistical Shape Representations for Temporal Registration of Plant Components in 3D
Karoline Heiwolt, Cengiz Öztireli, Grzegorz Cielniak
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Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems
Craig Knuth, Glen Chou, Jamie Reese, Joseph Moore
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Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots
Matthew Cavorsi, Orhan Eren Akgün, Michal Yemini, Andrea Goldsmith, Stephanie Gil
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Safety-Critical Controller Verification Via Sim2Real Gap Quantification
Prithvi Akella, Wyatt Ubellacker, Aaron Ames
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Risk-Aware Path Planning via Probabilistic Fusion of Traversability Prediction for Planetary Rovers on Heterogeneous Terrains
Masafumi Endo, Tatsunori Taniai, Ryo Yonetani, Genya Ishigami
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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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LGCNet: Feature Enhancement and Consistency Learning Based on Local and Global Coherence Network for Correspondence Selection
Tzu-Han Wu, Kuan-Wen Chen
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Probabilistic Contact State Estimation for Legged Robots Using Inertial Information
Michael Maravgakis, Despina-Ekaterini Argiropoulos, Stylianos Piperakis, Panos Trahanias
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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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A Congestion-Aware Path Planning Method Considering Crowd Spatial-Temporal Anomalies for Long-Term Autonomy of Mobile Robots
Zijian Ge, Jingjing Jiang, Matthew Coombes
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Towards Consistent Batch State Estimation Using a Time-Correlated Measurement Noise Model
David Juny Yoon, Timothy Barfoot
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Sequential Stochastic Multi-Task Assignment for Multi-Robot Deployment Planning
Colin Mitchell, Graeme Best, Geoffrey Hollinger
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Learning to Predict Action Feasibility for Task and Motion Planning in 3D Environments
Smail Ait Bouhsain, Rachid Alami, Thierry Simeon
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Moment-Based Kalman Filter: Nonlinear Kalman Filtering with Exact Moment Propagation
Yutaka Shimizu, Ashkan M. Jasour, Maani Ghaffari, Shinpei Kato
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Effective Combination of Vertical, Longitudinal and Lateral Data for Vehicle Mass Estimation
Younesse EL MRHASLI, Bruno Monsuez, XAVIER MOUTON
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A Probabilistic Model of Activity Recognition with Loose Clothing
Tianchen Shen, Irene Di Giulio, Matthew Howard
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Probabilistic Rare-Event Verification for Temporal Logic Robot Tasks
Guy Scher, Sadra Sadraddini, Hadas Kress-Gazit
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Risk-Aware Recharging Rendezvous for a Collaborative Team of UAVs and UGVs
Ahmad Bilal Asghar, Guangyao Shi, Nare Karapetyan, James Humann, Jean-Paul Reddinger, James Dotterweich, Pratap Tokekar
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Bidirectional Generalised Rigid Point Set Registration
Ang Zhang, Zhe Min, Li Liu, Max Q.-H. Meng
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Safety under Uncertainty: Tight Bounds with Risk-Aware Control Barrier Functions
Mitchell Black, Georgios Fainekos, Bardh Hoxha, Danil Prokhorov, Dimitra Panagou
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Towards Visual Classification under Class Ambiguity
Viktor Kozák, Jan Mikula, Luká� Bertl, Karel Kosnar, Libor Preucil
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Learning-Based Initialization of Trajectory Optimization for Path-Following Problems of Redundant Manipulators
Minsung Yoon, Mincheul Kang, Daehyung Park, Sung-eui Yoon
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Neural Contact Fields: Tracking Extrinsic Contact with Tactile Sensing
Carolina Higuera, Siyuan Dong, Byron Boots, Mustafa Mukadam
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Chance-Constrained Motion Planning with Event-Triggered Estimation
Anne Theurkauf, Qi Heng Ho, Roland Ilyes, Nisar Ahmed, Morteza Lahijanian
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Testing Rare Downstream Safety Violations Via Upstream Adaptive Sampling of Perception Error Models
Craig Innes, Subramanian Ramamoorthy
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Counter-Hypothetical Particle Filters for Single Object Pose Tracking
Elizabeth Olson, Jana Pavlasek, Jasmine Berry, Odest Chadwicke Jenkins
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On the Impact of Interruptions During Multi-Robot Supervision Tasks
Abhinav Dahiya, Yifan Cai, Oliver Schneider, Stephen L. Smith
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KGNet: Knowledge-Guided Networks for Category-Level 6D Object Pose and Size Estimation
Qiwei Meng, Jason Gu, Shiqiang Zhu, Jianfeng Liao, Tianlei Jin, Fangtai Guo, Wen Wang, Wei Song
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Multi-View Keypoints for Reliable 6D Object Pose Estimation
Alan Li, Angela P. Schoellig
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Risk-Aware Fast Trajectory Planner for Uncertain Environments Based on Probabilistic Surrogate Reliability and Risk Contours
Guobiao Wang
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Cooperative Driving in Mixed Traffic of Manned and Unmanned Vehicles Based on Human Driving Behavior Understanding
Jiaxing Lu, Sanzida Hossain, Weihua Sheng, HE BAI
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Motion Planning for a Climbing Robot with Stochastic Grasps
Stephanie Newdick, Nitin Ongole, Tony G. Chen, Edward Schmerling, Mark Cutkosky, Marco Pavone
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Decentralised Active Perception in Continuous Action Spaces for the Coordinated Escort Problem
Rhett Hull, Ki Myung Brian Lee, Jennifer Wakulicz, Chanyeol Yoo, James McMahon, Bryan Clarke, Stuart David Anstee, Jijoong Kim, Robert Fitch
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Operating with Inaccurate Models by Integrating Control-Level Discrepancy Information into Planning
Ellis Ratner, Claire Tomlin, Maxim Likhachev
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Uncertainty for Identifying Open-Set Errors in Visual Object Detection
Dimity Miller, Niko Sünderhauf, Michael J Milford, Feras Dayoub
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SmartRainNet: Uncertainty Estimation for Laser Measurement in Rain
chen ZHANG, Zefan Huang, Beatrix Tung, Marcelo H Ang Jr, Daniela Rus
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Bayesian Deep Learning for Affordance Segmentation in Images
LORENZO MUR LABADIA, Ruben Martinez-Cantin, Josechu Guerrero
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Robust Robot Planning for Human-Robot Collaboration
Yang You, Vincent Thomas, Francis Colas, Rachid Alami, Olivier Buffet
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Autonomous Exploration in a Cluttered Environment for a Mobile Robot with 2D-Map Segmentation and Object Detection
Hyung seok Kim, HyeongJin Kim, Seon-il Lee, Hyeonbeom Lee
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Multi-Agent Active Search Using Detection and Location Uncertainty
Arundhati Banerjee, Ramina Ghods, Jeff Schneider
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AirTrack: Onboard Deep Learning Framework for Long-Range Aircraft Detection and Tracking
Sourish Ghosh, Jay Patrikar, Brady Moon, Milad Moghassem Hamidi, Sebastian Scherer
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Speeding up Assembly Sequence Planning through Learning Removability Probabilities
Alexander Cebulla, Tamim Asfour, Torsten Kroeger
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Probabilistic Planning with Partially Ordered Preferences Over Temporal Goals
Hazhar Rahmani, Abhishek Kulkarni, Jie Fu
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Probabilistic Risk Assessment for Chance-Constrained Collision Avoidance in Uncertain Dynamic Environments
Khaled Alaaeldin Abdelfattah Mustafa, Oscar de Groot, Xinwei Wang, Jens Kober, Javier Alonso-Mora
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Robust Plant Localization and Phenotyping in Dense 3D Point Clouds for Precision Agriculture
Henry J. Nelson, Christopher Smith, Athanasios Bacharis, Nikos Papanikolopoulos
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4DRadarSLAM: A 4D Imaging Radar SLAM System for Large-Scale Environments Based on Pose Graph Optimization
Jun Zhang, Huayang Zhuge, Zhenyu Wu, Guohao Peng, Mingxing Wen, YIYAO LIU, Danwei Wang
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DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles Via Deep Learning Methods
Stewart Jamieson, Jonathan How, Yogesh Girdhar
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Computational Methods to Support Prototyping of an Adaptive Robot Joystick Controller for Children with Upper Limb Impairments
Melanie Jouaiti, Negin Azizi, Kerstin Dautenhahn
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EdgeVO: An Efficient, Accurate, and Robust Edge-Based Visual Odometry
Hui Zhao, Jianga Shang, Kai Liu, Chao Chen, Fuqiang Gu
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Improving Video Super-Resolution with Long-Term Self-Exemplars
Guotao Meng, Yue Wu, Qifeng Chen
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