Paul Newman

収録論文 48本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Multi-Robot Planning and Control from CCTV Camera Networks in a Real Warehouse
  2026/6/1
• NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms
  2024/10/1
• Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring
  2024/4/1
• That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation
  2024/3/1
• OORD: The Oxford Offroad Radar Dataset
  2024/3/1
• VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition
  2024/3/1
• Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data
  2024/2/1
• RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model
  2024/2/1
• Masked Gamma-SSL: Learning Uncertainty Estimation via Masked Image Modeling
  2024/2/1
• Open-RadVLAD: Fast and Robust Radar Place Recognition
  2024/1/1
• Robot-Relay : Building-Wide, Calibration-Less Visual Servoing with Learned Sensor Handover Network
  2023/10/1
• What you see is what you get: Experience ranking with deep neural dataset-to-dataset similarity for topological localisation
  2023/10/1
• Doppler-aware Odometry from FMCW Scanning Radar
  2023/8/1
• Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control
  2023/6/1
• Off the Radar: Uncertainty-Aware Radar Place Recognition with Introspective Querying and Map Maintenance
  2023/6/1
• BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR
  2022/6/1
• What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry
  2022/6/1
• Depth-SIMS: Semi-Parametric Image and Depth Synthesis
  2022/3/1
• Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry
  2022/3/1
• Contrastive Learning for Unsupervised Radar Place Recognition
  2021/10/1
• Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos
  2021/6/1
• The Oxford Road Boundaries Dataset
  2021/6/1
• Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning
  2021/3/1
• Self-Supervised Localisation between Range Sensors and Overhead Imagery
  2020/6/1
• Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision
  2020/5/1
• Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios
  2020/5/1
• RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar
  2020/4/1
• Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance
  2020/3/1
• LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic
  2020/3/1
• Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset
  2020/2/1
• RSL-Net: Localising in Satellite Images From a Radar on the Ground
  2020/1/1
• Learning to Correct 3D Reconstructions from Multiple Views
  2020/1/1
• Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning
  2020/1/1
• The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset
  2019/9/1
• Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation
  2019/7/1
• Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR
  2019/7/1
• Training Object Detectors With Noisy Data
  2019/5/1
• Radar-only ego-motion estimation in difficult settings via graph matching
  2019/4/1
• Distant Vehicle Detection Using Radar and Vision
  2019/1/1
• The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping
  2018/12/1
• Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes
  2018/10/1
• Probably Unknown: Deep Inverse Sensor Modelling In Radar
  2018/10/1
• Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions
  2018/8/1
• Surface Edge Explorer (SEE): Planning Next Best Views Directly from 3D Observations
  2018/2/1
• Meshed Up: Learnt Error Correction in 3D Reconstructions
  2018/1/1
• The Data Market: Policies for Decentralised Visual Localisation
  2018/1/1
• Resource-Performance Trade-off Analysis for Mobile Robot Design
  2016/9/1
• DENSER Cities: A System for Dense Efficient Reconstructions of Cities
  2016/4/1