Cyrill Stachniss
204 publications
15 venues
H Index 49
Affiliation
University of Freiburg, GermanyLinks
| Name | Venue | Year | citations |
|---|---|---|---|
Panoptic Segmentation With Partial Annotations for Agricultural Robots.
|
IEEE Robotics and Automation Letters | 2024 | 0 |
| Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning.
|
IEEE Robotics and Automation Letters | 2024 | 0 |
| PAg-NeRF: Towards Fast and Efficient End-to-End Panoptic 3D Representations for Agricultural Robotics.
|
IEEE Robotics and Automation Letters | 2024 | 0 |
| KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition.
|
IEEE Robotics and Automation Letters | 2023 | 1 |
| Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving.
|
IEEE Robotics and Automation Letters | 2023 | 0 |
| Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors.
|
ICRA | 2023 | 0 |
| Fruit Tracking Over Time Using High-Precision Point Clouds.
|
ICRA | 2023 | 0 |
| Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain.
|
ICRA | 2023 | 0 |
| Robust Double-Encoder Network for RGB-D Panoptic Segmentation.
|
ICRA | 2023 | 0 |
| Target-Aware Implicit Mapping for Agricultural Crop Inspection.
|
ICRA | 2023 | 0 |
| SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations.
|
ICRA | 2023 | 0 |
| Radar Velocity Transformer: Single-scan Moving Object Segmentation in Noisy Radar Point Clouds.
|
ICRA | 2023 | 0 |
| On Domain-Specific Pre- Training for Effective Semantic Perception in Agricultural Robotics.
|
ICRA | 2023 | 0 |
| Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving.
|
CVPR | 2023 | 0 |
| Estimating 4D Data Associations Towards Spatial-Temporal Mapping of Growing Plants for Agricultural Robots.
|
IROS | 2023 | 0 |
| Semantically Informed MPC for Context-Aware Robot Exploration.
|
IROS | 2023 | 0 |
| Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots.
|
IROS | 2023 | 0 |
| Constructing Metric-Semantic Maps Using Floor Plan Priors for Long-Term Indoor Localization.
|
IROS | 2023 | 0 |
| ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes.
|
RSS | 2023 | 0 |
| IR-MCL: Implicit Representation-Based Online Global Localization.
|
IEEE Robotics and Automation Letters | 2023 | 0 |
| Long-Term Localization Using Semantic Cues in Floor Plan Maps.
|
IEEE Robotics and Automation Letters | 2023 | 0 |
| Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation.
|
IEEE Robotics and Automation Letters | 2023 | 0 |
| High Precision Leaf Instance Segmentation for Phenotyping in Point Clouds Obtained Under Real Field Conditions.
|
IEEE Robotics and Automation Letters | 2023 | 0 |
| Unsupervised Pre-Training for 3D Leaf Instance Segmentation.
|
IEEE Robotics and Automation Letters | 2023 | 0 |
| KISS-ICP: In Defense of Point-to-Point ICP - Simple, Accurate, and Robust Registration If Done the Right Way.
|
IEEE Robotics and Automation Letters | 2023 | 0 |
| Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data.
|
IEEE Robotics and Automation Letters | 2023 | 0 |
| Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences.
|
IEEE Robotics and Automation Letters | 2023 | 0 |
| Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots.
|
IEEE Robotics and Automation Letters | 2023 | 0 |
| LocNDF: Neural Distance Field Mapping for Robot Localization.
|
IEEE Robotics and Automation Letters | 2023 | 0 |
| Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms.
|
IEEE Robotics and Automation Letters | 2023 | 0 |
| Online and offline learning of player objectives from partial observations in dynamic games.
|
IJRR | 2023 | 0 |
| Online pole segmentation on range images for long-term LiDAR localization in urban environments.
|
Robotics and Autonomous Systems | 2023 | 0 |
| Adaptive path planning for UAVs for multi-resolution semantic segmentation.
|
Robotics and Autonomous Systems | 2023 | 0 |
| Static map generation from 3D LiDAR point clouds exploiting ground segmentation.
|
Robotics and Autonomous Systems | 2023 | 0 |
| Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation.
|
IEEE Robotics and Automation Letters | 2022 | 12 |
| SegContrast: 3D Point Cloud Feature Representation Learning Through Self-Supervised Segment Discrimination.
|
IEEE Robotics and Automation Letters | 2022 | 7 |
| Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles.
|
IEEE Robotics and Automation Letters | 2022 | 0 |
| Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images.
|
IEEE Robotics and Automation Letters | 2022 | 1 |
| Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames.
|
IEEE Robotics and Automation Letters | 2022 | 1 |
| Learning Mixed Strategies in Trajectory Games.
|
RSS | 2022 | 2 |
| Contrastive Instance Association for 4D Panoptic Segmentation Using Sequences of 3D LiDAR Scans.
|
IEEE Robotics and Automation Letters | 2022 | 4 |
| Joint Plant and Leaf Instance Segmentation on Field-Scale UAV Imagery.
|
IEEE Robotics and Automation Letters | 2022 | 4 |
| Retriever: Point Cloud Retrieval in Compressed 3D Maps.
|
ICRA | 2022 | 5 |
| MD-SLAM: Multi-cue Direct SLAM.
|
IROS | 2022 | 0 |
| Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments.
|
IEEE Robotics and Automation Letters | 2022 | 0 |
| ICK-Track: A Category-Level 6-DoF Pose Tracker Using Inter-Frame Consistent Keypoints for Aerial Manipulation.
|
IROS | 2022 | 0 |
| DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments.
|
IEEE Robotics and Automation Letters | 2022 | 1 |
| Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions.
|
IEEE Robotics and Automation Letters | 2022 | 3 |
| Precise 3D Reconstruction of Plants from UAV Imagery Combining Bundle Adjustment and Template Matching.
|
ICRA | 2022 | 4 |
| Informative Path Planning for Active Learning in Aerial Semantic Mapping.
|
IROS | 2022 | 1 |
| Voxfield: Non-Projective Signed Distance Fields for Online Planning and 3D Reconstruction.
|
IROS | 2022 | 1 |
| Robust Onboard Localization in Changing Environments Exploiting Text Spotting.
|
IROS | 2022 | 6 |
| Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform.
|
IEEE Robotics and Automation Letters | 2022 | 0 |
| OverlapNet: a siamese network for computing LiDAR scan similarity with applications to loop closing and localization.
|
Autonomous Robots | 2022 | 0 |
| Efficient Localisation Using Images and OpenStreetMaps.
|
IROS | 2021 | 2 |
| Simple But Effective Redundant Odometry for Autonomous Vehicles.
|
ICRA | 2021 | 8 |
| Improving Monocular Depth Estimation by Semantic Pre-training.
|
IROS | 2021 | 0 |
| 4D Panoptic LiDAR Segmentation.
|
CVPR | 2021 | 17 |
| Joint Plant Instance Detection and Leaf Count Estimation for In-Field Plant Phenotyping.
|
IEEE Robotics and Automation Letters | 2021 | 14 |
| Deep Compression for Dense Point Cloud Maps.
|
IEEE Robotics and Automation Letters | 2021 | 30 |
| Poisson Surface Reconstruction for LiDAR Odometry and Mapping.
|
ICRA | 2021 | 25 |
| Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data.
|
IEEE Robotics and Automation Letters | 2021 | 42 |
| Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks.
|
IROS | 2021 | 11 |
| Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset.
|
IJRR | 2021 | 29 |
| Keypoint Matching for Point Cloud Registration Using Multiplex Dynamic Graph Attention Networks.
|
IEEE Robotics and Automation Letters | 2021 | 14 |
| Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations.
|
RSS | 2021 | 15 |
| Visual Place Recognition using LiDAR Intensity Information.
|
IROS | 2021 | 12 |
| Range Image-based LiDAR Localization for Autonomous Vehicles.
|
ICRA | 2021 | 41 |
| Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks.
|
CoRL | 2021 | 10 |
| Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss.
|
ICRA | 2021 | 4 |
| A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI.
|
ICRA | 2021 | 0 |
| Adaptive Robust Kernels for Non-Linear Least Squares Problems.
|
IEEE Robotics and Automation Letters | 2021 | 0 |
| Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots.
|
ICRA | 2020 | 7 |
| Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks.
|
IROS | 2020 | 30 |
| LiDAR Panoptic Segmentation for Autonomous Driving.
|
IROS | 2020 | 42 |
| Learning an Overlap-based Observation Model for 3D LiDAR Localization.
|
IROS | 2020 | 22 |
| OverlapNet: Loop Closing for LiDAR-based SLAM.
|
RSS | 2020 | 118 |
| Segmentation-Based 4D Registration of Plants Point Clouds for Phenotyping.
|
IROS | 2020 | 14 |
| Spatio-Temporal Non-Rigid Registration of 3D Point Clouds of Plants.
|
ICRA | 2020 | 14 |
| Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching.
|
ICRA | 2020 | 0 |
| Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots.
|
IROS | 2020 | 12 |
| Long-Term Robot Navigation in Indoor Environments Estimating Patterns in Traversability Changes.
|
ICRA | 2020 | 0 |
| Visual Servoing-based Navigation for Monitoring Row-Crop Fields.
|
ICRA | 2020 | 0 |
| ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals.
|
IROS | 2019 | 62 |
| Coverage Path Planning in Belief Space.
|
ICRA | 2019 | 0 |
| Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields.
|
ICRA | 2019 | 19 |
| SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences.
|
ICCV | 2019 | 701 |
| Uncertainty-Aware Path Planning for Navigation on Road Networks Using Augmented MDPs.
|
ICRA | 2019 | 12 |
| SuMa++: Efficient LiDAR-based Semantic SLAM.
|
IROS | 2019 | 181 |
| RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation.
|
IROS | 2019 | 463 |
| Localization with Sliding Window Factor Graphs on Third-Party Maps for Automated Driving.
|
ICRA | 2019 | 32 |
| Accurate Direct Visual-Laser Odometry with Explicit Occlusion Handling and Plane Detection.
|
ICRA | 2019 | 7 |
| Actively Improving Robot Navigation On Different Terrains Using Gaussian Process Mixture Models.
|
ICRA | 2019 | 11 |
| Effective Visual Place Recognition Using Multi-Sequence Maps.
|
IEEE Robotics and Automation Letters | 2019 | 29 |
| Fast Instance and Semantic Segmentation Exploiting Local Connectivity, Metric Learning, and One-Shot Detection for Robotics.
|
ICRA | 2019 | 11 |
| Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs.
|
ICRA | 2019 | 0 |
| Robust Long-Term Registration of UAV Images of Crop Fields for Precision Agriculture.
|
IEEE Robotics and Automation Letters | 2018 | 41 |
| On Geometric Models and Their Accuracy for Extrinsic Sensor Calibration.
|
ICRA | 2018 | 10 |
| Fully Convolutional Networks With Sequential Information for Robust Crop and Weed Detection in Precision Farming.
|
IEEE Robotics and Automation Letters | 2018 | 132 |
| Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments.
|
RSS | 2018 | 229 |
| Joint Stem Detection and Crop-Weed Classification for Plant-Specific Treatment in Precision Farming.
|
IROS | 2018 | 44 |
| Joint Ego-motion Estimation Using a Laser Scanner and a Monocular Camera Through Relative Orientation Estimation and 1-DoF ICP.
|
IROS | 2018 | 11 |
| Fast Image-Based Geometric Change Detection Given a 3D Model.
|
ICRA | 2018 | 22 |
| Classifying Obstacles and Exploiting Knowledge About Classes for Efficient Humanoid Navigation.
|
Humanoids | 2018 | 5 |
| A General Framework for Flexible Multi-Cue Photometric Point Cloud Registration.
|
ICRA | 2018 | 0 |
| Real-Time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs.
|
ICRA | 2018 | 0 |
| User preferred behaviors for robot navigation exploiting previous experiences.
|
Robotics and Autonomous Systems | 2017 | 7 |
| UAV-based crop and weed classification for smart farming.
|
ICRA | 2017 | 243 |
| Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields.
|
IJRR | 2017 | 148 |
| Efficient path planning in belief space for safe navigation.
|
IROS | 2017 | 5 |
| Extrinsic multi-sensor calibration for mobile robots using the Gauss-Helmert model.
|
IROS | 2017 | 17 |
| Analyzing the quality of matched 3D point clouds of objects.
|
IROS | 2017 | 13 |
| Robust exploration and homing for autonomous robots.
|
Robotics and Autonomous Systems | 2017 | 44 |
| Semi-supervised online visual crop and weed classification in precision farming exploiting plant arrangement.
|
IROS | 2017 | 30 |
| Speeding-Up Robot Exploration by Exploiting Background Information.
|
IEEE Robotics and Automation Letters | 2016 | 70 |
| On the Accuracy of Dense Fisheye Stereo.
|
IEEE Robotics and Automation Letters | 2016 | 17 |
| Fast and effective online pose estimation and mapping for UAVs.
|
ICRA | 2016 | 35 |
| Lazy Data Association For Image Sequences Matching Under Substantial Appearance Changes.
|
IEEE Robotics and Automation Letters | 2016 | 54 |
| Robust homing for autonomous robots.
|
ICRA | 2016 | 8 |
| Experience-based path planning for mobile robots exploiting user preferences.
|
IROS | 2016 | 4 |
| Pose fusion with chain pose graphs for automated driving.
|
IROS | 2016 | 29 |
| Fast range image-based segmentation of sparse 3D laser scans for online operation.
|
IROS | 2016 | 160 |
| An effective classification system for separating sugar beets and weeds for precision farming applications.
|
ICRA | 2016 | 70 |
| Organizing objects by predicting user preferences through collaborative filtering.
|
IJRR | 2016 | 8 |
| Exploiting building information from publicly available maps in graph-based SLAM.
|
IROS | 2016 | 37 |
| Where to park? minimizing the expected time to find a parking space.
|
ICRA | 2015 | 10 |
| Robot, organize my shelves! Tidying up objects by predicting user preferences.
|
ICRA | 2015 | 45 |
| Predictive exploration considering previously mapped environments.
|
ICRA | 2015 | 38 |
| Robust visual SLAM across seasons.
|
IROS | 2015 | 83 |
| Efficient and effective matching of image sequences under substantial appearance changes exploiting GPS priors.
|
ICRA | 2015 | 39 |
| Automatic channel selection and neural signal estimation across channels of neural probes.
|
IROS | 2014 | 2 |
| Experimental analysis of dynamic covariance scaling for robust map optimization under bad initial estimates.
|
ICRA | 2014 | 25 |
| Helmert's and Bowie's geodetic mapping methods and their relation to graph-based SLAM.
|
ICRA | 2014 | 6 |
| Learning object deformation models for robot motion planning.
|
Robotics and Autonomous Systems | 2014 | 31 |
| A statistical measure for map consistency in SLAM.
|
ICRA | 2014 | 22 |
| Identifying vegetation from laser data in structured outdoor environments.
|
Robotics and Autonomous Systems | 2014 | 42 |
| Inferring what to imitate in manipulation actions by using a recommender system.
|
ICRA | 2014 | 3 |
| W-RGB-D: Floor-plan-based indoor global localization using a depth camera and WiFi.
|
ICRA | 2014 | 49 |
| Learning to give route directions from human demonstrations.
|
ICRA | 2014 | 12 |
| Robust Visual Robot Localization Across Seasons Using Network Flows.
|
AAAI | 2014 | 193 |
| Effective compression of range data streams for remote robot operations using H.264.
|
IROS | 2014 | 21 |
| Coordinating heterogeneous teams of robots using temporal symbolic planning.
|
Autonomous Robots | 2013 | 35 |
| Robust map optimization using dynamic covariance scaling.
|
ICRA | 2013 | 235 |
| Learning manipulation actions from a few demonstrations.
|
ICRA | 2013 | 45 |
| OctoMap: an efficient probabilistic 3D mapping framework based on octrees.
|
Autonomous Robots | 2013 | 0 |
| A navigation system for robots operating in crowded urban environments.
|
ICRA | 2013 | 61 |
| Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction.
|
RSS | 2012 | 18 |
| On the position accuracy of mobile robot localization based on particle filters combined with scan matching.
|
IROS | 2012 | 128 |
| Information-theoretic compression of pose graphs for laser-based SLAM.
|
IJRR | 2012 | 105 |
| Accurate human motion capture in large areas by combining IMU- and laser-based people tracking.
|
IROS | 2011 | 38 |
| Self-supervised obstacle detection for humanoid navigation using monocular vision and sparse laser data.
|
ICRA | 2011 | 37 |
| Hierarchies of octrees for efficient 3D mapping.
|
IROS | 2011 | 46 |
| Efficient information-theoretic graph pruning for graph-based SLAM with laser range finders.
|
IROS | 2011 | 57 |
| Pose Graph Compression for Laser-Based SLAM.
|
ISRR | 2011 | 16 |
| Efficient motion planning for manipulation robots in environments with deformable objects.
|
IROS | 2011 | 40 |
| A Probabilistic Framework for Learning Kinematic Models of Articulated Objects.
|
JAIR | 2011 | 118 |
| Coordinated exploration with marsupial teams of robots using temporal symbolic planning.
|
IROS | 2010 | 25 |
| Bridging the gap between feature- and grid-based SLAM.
|
Robotics and Autonomous Systems | 2010 | 53 |
| Learning the elasticity parameters of deformable objects with a manipulation robot.
|
IROS | 2010 | 71 |
| Consistent mapping of multistory buildings by introducing global constraints to graph-based SLAM.
|
ICRA | 2010 | 20 |
| Operating articulated objects based on experience.
|
IROS | 2010 | 42 |
| A nonparametric learning approach to range sensing from omnidirectional vision.
|
Robotics and Autonomous Systems | 2010 | 16 |
| Hierarchical optimization on manifolds for online 2D and 3D mapping.
|
ICRA | 2010 | 217 |
| Vision-based detection for learning articulation models of cabinet doors and drawers in household environments.
|
ICRA | 2010 | 38 |
| Improving robot navigation in structured outdoor environments by identifying vegetation from laser data.
|
IROS | 2009 | 102 |
| Object identification with tactile sensors using bag-of-features.
|
IROS | 2009 | 242 |
| Real-world robot navigation amongst deformable obstacles.
|
ICRA | 2009 | 18 |
| Learning Landmark Selection Policies for Mapping Unknown Environments.
|
ISRR | 2009 | 1 |
| Which landmark is useful? Learning selection policies for navigation in unknown environments.
|
ICRA | 2009 | 47 |
| Utilizing reflection properties of surfaces to improve mobile robot localization.
|
ICRA | 2009 | 12 |
| On measuring the accuracy of SLAM algorithms.
|
Autonomous Robots | 2009 | 313 |
| Learning Kinematic Models for Articulated Objects.
|
IJCAI | 2009 | 68 |
| A comparison of SLAM algorithms based on a graph of relations.
|
IROS | 2009 | 135 |
| Learning gas distribution models using sparse Gaussian process mixtures.
|
Autonomous Robots | 2009 | 82 |
| Unsupervised discovery of object classes from range data using latent Dirichlet allocation.
|
RSS | 2009 | 76 |
| Imitation learning with generalized task descriptions.
|
ICRA | 2009 | 40 |
| How to learn accurate grid maps with a humanoid.
|
ICRA | 2008 | 27 |
| Estimating landmark locations from geo-referenced photographs.
|
IROS | 2008 | 8 |
| Monocular range sensing: A non-parametric learning approach.
|
ICRA | 2008 | 23 |
| Efficiently learning high-dimensional observation models for Monte-Carlo localization using Gaussian mixtures.
|
IROS | 2008 | 10 |
| Gas Distribution Modeling using Sparse Gaussian Process Mixture Models.
|
RSS | 2008 | 39 |
| Efficient path planning for mobile robots in environments with deformable objects.
|
ICRA | 2008 | 16 |
| Coordinated multi-robot exploration using a segmentation of the environment.
|
IROS | 2008 | 261 |
| Online constraint network optimization for efficient maximum likelihood map learning.
|
ICRA | 2008 | 84 |
| Learning maps in 3D using attitude and noisy vision sensors.
|
IROS | 2007 | 34 |
| Fast and accurate SLAM with Rao-Blackwellized particle filters.
|
Robotics and Autonomous Systems | 2007 | 174 |
| Efficient estimation of accurate maximum likelihood maps in 3D.
|
IROS | 2007 | 182 |
| Towards Mapping of Cities.
|
ICRA | 2007 | 59 |
| Analyzing gaussian proposal distributions for mapping with rao-blackwellized particle filters.
|
IROS | 2007 | 43 |
| A Tree Parameterization for Efficiently Computing Maximum Likelihood Maps using Gradient Descent.
|
RSS | 2007 | 288 |
| Speeding-up Rao-blackwellized SLAM.
|
ICRA | 2006 | 23 |
| Speeding-up Multi-robot Exploration by Considering Semantic Place Information.
|
ICRA | 2006 | 69 |
| Improving Data Association in Vision-based SLAM.
|
IROS | 2006 | 78 |
| Recovering Particle Diversity in a Rao-Blackwellized Particle Filter for SLAM After Actively Closing Loops.
|
ICRA | 2005 | 80 |
| Information Gain-based Exploration Using Rao-Blackwellized Particle Filters.
|
RSS | 2005 | 531 |
| Supervised Learning of Places from Range Data using AdaBoost.
|
ICRA | 2005 | 261 |
| Semantic Place Classification of Indoor Environments with Mobile Robots Using Boosting.
|
AAAI | 2005 | 142 |
| Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling.
|
ICRA | 2005 | 779 |
| Mobile Robot Mapping and Localization in Non-Static Environments.
|
AAAI | 2005 | 98 |
| Using AdaBoost for Place Labeling and Topological Map Building.
|
ISRR | 2005 | 0 |
| Exploration with active loop-closing for FastSLAM.
|
IROS | 2004 | 175 |
| Exploring Unknown Environments with Mobile Robots using Coverage Maps.
|
IJCAI | 2003 | 159 |
| Mapping and exploration with mobile robots using coverage maps.
|
IROS | 2003 | 61 |
| An integrated approach to goal-directed obstacle avoidance under dynamic constraints for dynamic environments.
|
IROS | 2002 | 170 |