一些知名实验室近三年与移动机器人有关的论文挖坑

2019 年 7 月 18 日 CVer

点击上方“CVer”,选择加"星标"或“置顶”

重磅干货,第一时间送达

者:做梦的咸鱼

https://zhuanlan.zhihu.com/p/73832562

排版:泡泡机器人


因为自己即将开始读博,所以在朋友的建议下,先对国外知名实验室的论文进行整理,然后关注一下他们在做什么,参考一下他们的研究方向,最终找到自己的研究方向。主要整理了近三年的研究情况,先把论文贴出来,算是先挖个坑,后面慢慢再填坑吧!


帝国理工Dyson


2019年

作者:Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew Davison.

论文:SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations.

会议/期刊:CVPR, 2019

作者:Charlie Houseago, Michael Bloesch, Stefan Leutenegger

论文:KO-Fusion: Dense Visual SLAM with Tightly-Coupled Kinematic and Odometric Tracking. 会议/期刊:ICRA, 2019

作者:Tristan Laidlow, Jan Czarnowski, Stefan Leutenegger.

论文:DeepFusion: Real-Time Dense 3D Reconstruction for Monocular SLAM using Single-View Depth and Gradient Predictions.

会议/期刊:ICRA, 2019


2018年

作者:Stephen James, Michael Bloesch, Andrew J. Davison.

论文:Task-Embedded Control Networks for Few-Shot Imitation Learning.

会议/期刊:CoRL, 2018

作者:Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison.

论文:LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo.

会议/期刊:ECCV, 2018

作者:John McCormac, Ronald Clark, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison. 论文:Fusion++: Volumetric Object-Level SLAM.

会议/期刊:3DV, 2018

作者:Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison. 论文:CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM.

会议/期刊:CVPR, 2018


2017年

作者:Stephen James, Andrew J Davison and Edward Johns.

论文:Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task. 会议/期刊:CoRL, 2017

作者:Jan Czarnowski, Stefan Leutenegger, Andrew J Davison.

论文:Semantic Texture for Robust Dense Tracking. Geometry Meets Deep Learning Workshop, International Conference on Computer Vision

会议/期刊:ICCV, 2017

作者:John McCormac, Ankur Handa, Stefan Leutenegger, Andrew J Davison.

论文:SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-training on Indoor Segmentation. International Conference on Computer Vision

会议/期刊:ICCV, 2017

作者:Tristan Laidlow, Michael Bloesch, Wenbin Li and Stefan Leutenegger.

论文:Dense RGB-D-Inertial SLAM with Map Deformations. IEEE International Conference on Intelligent Robots and Systems

会议/期刊:IROS, 2017

作者:Robert Lukierski, Stefan Leutenegger and Andrew J. Davison.

论文:Room Layout Estimation from Rapid Omnidirectional Exploration.

会议/期刊:ICRA, 2017

作者:John McCormac, Ankur Handa, Andrew J Davison, Stefan Leutenegger.

论文:SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural Networks.

会议/期刊:ICRA, 2017


牛津大学Active Vision Laboratory


2019年

作者:F Zhang, V A Prisacariu, R Yang and P H S Torr

论文:GA-Net: Guided Aggregation Net for End-to-end Stereo Matching.

会议/期刊:CVPR, 2019


2018年

作者:H Howard-Jenkins, S Li and V A Prisacariu

论文:Thinking Outside the Box: Generation of Unconstrained 3D Room Layouts

期刊/会议:ACCV

作者:V Balntas, S Li and V A Prisacariu

论文:RelocNet: Continuous Metric Learning Relocalisation using Neural Nets

会议/期刊:ECCV, 2018

作者:G W P Data, K Ngu, D W Murray and V A Prisacariu

论文:Interpolating Convolutional Neural Networks using Batch Normalization

会议/期刊:ECCV, 2018

作者:P Bilinski and V A Prisacariu

论文:Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation

会议/期刊:CVPR, 2018

作者:S Golodetz, T Cavallari, N A Lord, V A Prisacariu, D W Murray and PHS Torr

论文:Collaborative Large-Scale Dense 3D Reconstruction with Online Inter-Agent Pose Optimisation

会议/期刊:IEEE Transactions on Visualization and Computer Graphics, 2018

作者:D Frost, V A Prisacariu and D W Murray

论文:Recovering Stable Scale in Monocular SLAM Using Object-Supplemented Bundle Adjustment

会议/期刊:IEEE Transactions on Robotics , 2018

作者:S J Li, B Ren, Y Liu, M M Cheng, D Frost and V A Prisacariu

论文:Direct Line Guidance Odometry

会议/期刊:ICRA, 2018


2017年

作者:C Y Ren, V A Prisacariu, O Kähler, I D Reid and D W Murray

论文:Real-Time Tracking of Single and Multiple Objects from Depth-Colour Imagery Using 3D Signed Distance Functions

会议/期刊:International Journal of Computer Vision Vol 124, No 1, pp 80-95, 2017

作者:V A Prisacariu, O Kähler, S Golodetz, M Sapienza, T Cavallari, P H S Torr and D W Murray

论文:InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop Closure

会议/期刊:arXiv:1708.00783 [cs.CV]

作者:D P Frost, D W Murray and V A Prisacariu

论文:Using Learning of Speed to Stabilize Scale in Monocular Localization and Mapping

会议/期刊:3DV 2017,, 2017

作者:J Hunt, V A Prisacariu, S Golodetz, T Cavallari, N A Lord and P H S Torr

论文:Probabilistic Object Reconstruction with Online Global Model Correction

会议/期刊:3DV , 2017


苏黎世联邦理工 ASL


2019年

作者:Rik Bähnemann, Michael Pantic, Marija Popović, Dominik Schindler, Marco Tranzatto, Mina Kamel, Marius Grimm, Jakob Widauer, Roland Siegwart and Juan Nieto

论文:The ETH-MAV Team in the MBZ International Robotics Challenge

会议/期刊:Journal of Field Robotics, 2019.


作者:Thomas Schneider, Mingyang Li, Cesar Cadena, Juan Nieto and Roland Siegwart

论文:Observability-aware Self-Calibration of Visual and Inertial Sensors for Ego-Motion Estimation

会议/期刊:IEEE Sensors Journal, 2019.


作者:Michel Breyer, Fadri Furrer, Tonci Novkovic, Roland Siegwart and Juan Nieto

论文:Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning

会议/期刊:arXiv, 2019.


2018年

作者:Jongseok Lee, Tin Muskardin, Cristina Ruiz Pacz, Philipp Oettershagen, Thomas Stastny, Inkyu Sa, Roland Siegwart and Konstantin Kondak

论文:Towards Autonomous Stratospheric Flight: A Generic Global System Identification Framework for Fixed-Wing Platforms

会议/期刊:IROS 2018


作者:Julia Nitsch, Julio Aguilar, Juan Nieto, Roland Siegwart, Max Schmidt and Cesar Cadena

论文:3D Ground Point Classification for Automotive Scenarios

会议/期刊:ITSC 2018


作者:Helen Oleynikova, Zachary Taylor, Alexander Millane, Roland Siegwart and Juan Nieto

论文:A complete system for vision-based micro-aerial vehicle mapping, planning, and flight in cluttered environments

会议/期刊:arXiv, 2018.


作者:Hutter, Marco and Siegwart, Roland

论文:Special Issue on Field and Service Robotics (FSR) 2017

会议/期刊:Journal of Field Robotics, 2018.


作者:Hutter, Marco and Siegwart, Roland

论文:Special Issue on Field and Service Robotics (FSR) 2017

会议/期刊:Journal of Field Robotics, 2018.


作者:Karen Bodie, Zachary Taylor, Mina Kamel and Roland Siegwart

论文:Towards Efficient Full Pose Omnidirectionality with Overactuated MAVs

会议/期刊:ISER 2018


作者:Hermann Blum, Abel Gawel, Roland Siegwart and César Cadena

论文:Modular Sensor Fusion for Semantic Segmentation

会议/期刊:IROS 2018


作者:Sundara T. Digumarti, Juan Nieto, Cesar Cadena, Roland Siegwart and Paul Beardsley

论文:Automatic Segmentation of Tree Structure From Point Cloud Data

会议/期刊:IEEE Robotics and Automation Letters, 2018.


作者:Vincent Mai, Mina Kamel, Matthias Krebs, Andreas Schaffner, Daniel Meier, Liam Paull and Roland Siegwart

论文:Local Positioning System Using UWB Range Measurements for an Unmanned Blimp

会议/期刊:IEEE Robotics and Automation Letters, 2018.


作者:Paul-Edouard Sarlin, Frédéric Debraine, Marcin Dymczyk

论文:Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization

会议/期刊:CoRL 2018


作者:Anurag Sai Vempati, Mina Kamel, Nikola Stilinovic, Qixuan Zhang, Dorothea Reusser, Inkyu Sa, Juan Nieto, Roland Siegwart and Paul Beardsley

论文:PaintCopter: An Autonomous UAV for Spray Painting on Three-Dimensional Surfaces

会议/期刊:IEEE Robotics and Automation Letters, 2018.


作者:Nikhil Gosala, Andreas Bühler, Manish Prajapat, Claas Ehmke, Mehak Gupta, Ramya Sivanesan, Abel Gawel, Mark Pfeiffer, Mathias Bürki, Inkyu Sa, Renaud Dubé and Roland Siegwart

论文:Redundant Perception and State Estimation for Reliable Autonomous Racing

会议/期刊:arXiv, 2018.


作者:Berta Bescos, José Neira, Roland Siegwart and Cesar Cadena

论文:Empty Cities: Image Inpainting for a Dynamic-Object-Invariant Space

会议/期刊:arXiv, pp. 2018.


作者:Marija Popović, Teresa Vidal-Calleja, Gregory Hitz, Jen Jen Chung, Inkyu Sa, Roland Siegwart and Juan Nieto

论文:An informative path planning framework for UAV-based terrain monitoring

会议/期刊:arXiv, 2018.


作者:Renaud Dubé, Mattia Gollub, Hannes Sommer, Igor Gilitschenski, Roland Siegwart, Cesar Cadena and Juan Nieto

论文:Incremental-Segment-Based Localization in 3-D Point Clouds

会议/期刊:IEEE Robotics and Automation Letters, 2018.


作者:Ho Seok Ahn, Feras Dayoub, Marija Popovic, Bruce MacDonald, Roland Siegwart and Inkyu Sa

论文:An overview of perception methods for horticultural robots: From pollination to harvest

会议/期刊:arXiv, 2018.


作者:Renaud Dubé, Andrei Cramariuc, Daniel Dugas, Juan Nieto, Roland Siegwart and Cesar Cadena

论文:SegMap: 3D Segment Mapping using Data-Driven Descriptors

会议/期刊:Robotics: Science and Systems ,2018


作者:Marius Fehr, Thomas Schneider, Marcin Dymczyk, Jürgen Sturm and Roland Siegwart

论文:Visual-Inertial Teach and Repeat for Aerial Inspection

会议/期刊:ICRA 2018


作者:Marcin Dymczyk, Marius Fehr, Thomas Schneider and Roland Siegwart

论文:Long-term Large-scale Mapping and Localization Using maplab

会议/期刊:ICRA 2018


作者:Marco Karrer, Mohit Agarwal, Mina Kamel, Roland Siegwart and Margarita Chli

论文:Collaborative 6DoF Relative Pose Estimation for two UAVs with Overlapping Fields of View

会议/期刊:ICRA 2018


作者:Andrei Cramariuc, Renaud Dubé, Hannes Sommer, Roland Siegwart and Igor Gilitschenski

论文:Learning 3d segment descriptors for place recognition

会议/期刊:arXiv, 2018.


作者:Helen Oleynikova, Zachary Taylor, Roland Siegwart and Juan Nieto

论文:Sparse 3D topological graphs for micro-aerial vehicle planning

会议/期刊:arXiv, 2018.


作者:Andreas Bircher, Mina Kamel, Kostas Alexis, Helen Oleynikova and Roland Siegwart

论文:Receding horizon path planning for 3D exploration and surface inspection

会议/期刊:Autonomous Robots, 2018.


作者:Mina Kamel, Sebastian Verling, Omar Elkhatib, Christian Sprecher, Paula Wulkop, Zachary Taylor, Roland Siegwart and Igor Gilitschenski

论文:Voliro: An Omnidirectional Hexacopter With Tiltable Rotors

会议/期刊:arXiv, 2018.


作者:Marius Fehr, Thomas Schneider and Roland Siegwart

论文:Visual-Inertial Teach and Repeat Powered by Google Tango

会议/期刊:IROS, 2018.


作者:Inkyu Sa, Zetao Chen, Marija Popović, Raghav Khanna, Frank Liebisch, Juan Nieto and Roland Siegwart

论文:weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming

会议/期刊:IEEE Robotics and Automation Letters, 2018.


作者:Fabian Blöchliger, Marius Fehr, Marcin Dymczyk, Thomas Schneider and Roland Siegwart

论文:Topomap: Topological Mapping and Navigation Based on Visual SLAM Maps

会议/期刊:ICRA 2018



作者:Marcin Dymczyk, Igor Gilitschenski, Juan Nieto, Simon Lynen, Bernhard Zeisl and Roland Siegwart

论文:LandmarkBoost: Efficient Visual Context Classifiers for Robust Localization

会议/期刊:IROS, 2018.


作者:Philipp Egger, Paulo V.K. Borges, Gavin Catt, Andreas Pfrunder, Roland Siegwart and Renaud Dubé

论文:PoseMap: Lifelong, Multi-Environment 3D LiDAR Localization

会议/期刊:IROS, 2018.


作者:Fadri Furrer, Tonci Novkovic, Marius Fehr, Abel Gawel, Margarita Grinvald, Torsten Sattler, Roland Siegwart and Juan Nieto

论文:Incremental Object Database: Building 3D Models from Multiple Partial Observations

会议/期刊:IROS 2018


作者:Guillaume Jouvet, Thomas Stastny, Philipp Oettershagen, Eef van Dongen, Michael Hugentobler, Thomas Mantel, Amir Melzer, Yvo Weidmann, Martin Funk and Roland Siegwart

论文:Sun2Ice: Monitoring calving glaciers from solar-powered UAVs

会议/期刊:Geophysical Research Abstracts, 2018.


作者:Barza Nisar, Mina Kamel and Roland Siegwart

论文:NMPC for Multicopter's Trajectory Tracking Using Modified Rodrigues Parameters

会议/期刊:CCTA 2018


作者:Paul-Edouard Sarlin, Cesar Cadena, Roland Siegwart and Marcin Dymczyk

论文:From Coarse to Fine: Robust Hierarchical Localization at Large Scale

会议/期刊:Zurich: ETH Zurich, 2018.


作者:Martin Wermelinger, Fadri Furrer, Hironori Yoshida, Fabio Gramazio, Matthias Kohler, Roland Siegwart and Marco Hutter

论文:Greedy Stone Tower Creations with a Robotic Arm

会议/期刊:IJCAI 2018


作者:Christian Witting, Marius Fehr, Rik Bähnemann, Helen Oleynikova and Roland Siegwart

论文:History-aware Autonomous Exploration in Confined Environments using MAVs

会议/期刊:IROS, 2018.


作者:Guoxiang Zhou, Berta Bescos, Marcin Dymczyk, Mark Pfeiffer, José Neira and Roland Siegwart

论文:Dynamic Objects Segmentation for Visual Localization in Urban Environments

会议/期刊:IROS 2018


2017年

作者:Amedeo R. Vetrella, Inkyu Sa, Marija Popović, Raghav Khanna, Juan Nieto, Giancarmine Fasano, Domenico Accardo and Roland Siegwart

论文:Improved Tau-Guidance and Vision-Aided Navigation for Robust Autonomous Landing of UAVs

会议/期刊:FSR, 2017.


作者:Gerhard Kurz, Igor Gilitschenski, Florian Pfaff, Lukas Drude, Uwe D. Hanebeck, Reinhold Haeb-Umbach and Roland Y. Siegwart

论文:Directional Statistics and Filtering Using libDirectional

会议/期刊:arXiv, 2017.



作者:Timo Hinzmann, Tim Taubner and Roland Siegwart

论文:Flexible Stereo: Constrained, Non-rigid, Wide-baseline Stereo Vision for Fixed-wing Aerial Platforms

会议/期刊:arXiv, 2017.


作者:Philipp Oettershagen, Florian Achermann, Benjamin Müller, Daniel Schneider and Roland Siegwart

论文:Towards Fully Environment-Aware UAVs: Real-Time Path Planning with Online 3D Wind Field Prediction in Complex Terrain

会议/期刊:arXiv,2017.


作者:Gregory Hitz, Enric Galceran, Marie-Ève Garneau, François Pomerleau and Roland Siegwart

论文:Adaptive continuous-space informative path planning for online environmental monitoring

会议/期刊:Journal of Field Robotics, 2017


作者:Philipp Oettershagen, Julian Förster, Lukas Wirth, Jacques Ambühl and Roland Siegwart

论文:Meteorology-Aware Multi-Goal Path Planning for Large-Scale Inspection Missions with Long-Endurance Solar-Powered Aircraft

会议/期刊:arXiv, 2017.


作者:Thomas Schneider, Marcin Dymczyk, Marius Fehr, Kevin Egger, Simon Lynen, Igor Gilitschenski and Roland Siegwart

论文:maplab: An Open Framework for Research in Visual-inertial Mapping and Localization

会议/期刊:arXiv, 2017.


作者:Andrea Tagliabue, Mina Kamel, Roland Siegwart and Juan Nieto

论文:Robust Collaborative Object Transportation Using Multiple MAVs

会议/期刊:arXiv, 2017.


论文:Mapping on the Fly: Real-Time 3D Dense Reconstruction, Digital Surface Map and Incremental Orthomosaic Generation for Unmanned Aerial Vehicles

作者:Timo Hinzmann, Johannes L. Schönberger, Marc Pollefeys and Roland Siegwart

会议/期刊:FSR 2017


作者:Alexander Millane, Zachary Taylor, Helen Oleynikova, Juan Nieto, Roland Siegwart and Cesar Cadena

论文:TSDF Manifolds: A Scalable and Consistent Dense Mapping Approach

会议/期刊:arXiv, 2017.


作者:Philipp Oettershagen, Amir Melzer, Thomas Mantel, Konrad Rudin, Thomas Stastny, Bartosz Wawrzacz, Timo Hinzmann, Stefan Leutenegger, Kostas Alexis and Roland Siegwart

论文:Design of small hand-launched solar-powered UAVs: From concept study to a multi-day world endurance record flight

会议/期刊:Journal of Field Robotics, 2017.


作者:Mark Pfeiffer, Giuseppe Paolo, Hannes Sommer, Juan Nieto, Roland Siegwart and Cesar Cadena

论文:A Data-driven Model for Interaction-aware Pedestrian Motion Prediction in Object Cluttered Environments

会议/期刊:arXiv, 2017.


作者:Fabian Blöchliger, Marius Fehr, Marcin Dymczyk, Thomas Schneider and Roland Siegwart

论文:Topomap: Topological Mapping and Navigation Based on Visual SLAM Maps

会议/期刊:arXiv , 2017.


作者:Michael Bloesch, Michael Burri, Sammy Omari, Marco Hutter and Roland Siegwart

论文:Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback

会议/期刊:The International Journal of Robotics Research, 2017.


作者:Inkyu Sa, Mina Kamel, Michael Burri, Michael Bloesch, Raghav Khanna, Marija Popović, Juan Nieto and Roland Siegwart

论文:Build your own visual-inertial odometry aided cost-effective and open-source autonomous drone

会议/期刊:arXiv, 2017.


作者:Philipp Krüssi, Paul Furgale, Michael Bosse and Roland Siegwart

论文:Driving on Point Clouds: Motion Planning, Trajectory Optimization, and Terrain Assessment in Generic Nonplanar Environments

会议/期刊:Journal of Field Robotics, 2017.


作者:Simon Lynen, Michael Bosse and Roland Siegwart

论文:Trajectory-Based Place-Recognition for Efficient Large Scale Localization

会议/期刊:International Journal of Computer Vision, 2017.


作者:Rik Bähnemann, Dominik Schindler, Mina Kamel, Roland Siegwart and Juan Nieto

论文:A decentralized multi-agent unmanned aerial system to search, pick up, and relocate objects

会议/期刊:arXiv, 2017.


作者:Mina Kamel, Michael Burri and Roland Siegwart

论文:Linear vs nonlinear mpc for trajectory tracking applied to rotary wing micro aerial vehicles

会议/期刊:IFAC 2017


作者:Andreas Bircher, Kostas Alexis, Ulrich Schwesinger, Sammy Omari, Michael Burri and Roland Y. Siegwart

论文:An incremental sampling-based approach to inspection planning: the rapidly exploring random tree of trees

会议/期刊:Robotica, 2017.


作者:Joern Rehder and Roland Siegwart

论文:Camera/IMU calibration revisited

会议/期刊:IEEE Sensors Journal, 2017.


作者:Haris Balta, Janusz Bedkowski, Shashank Govindaraj, Karol Majek, Pawel Musialik, Daniel Serrano, Kostas Alexis, Roland Siegwart and Geert Cubber

论文:Integrated Data Management for a Fleet of Search-and-rescue Robots

会议/期刊:Journal of Field Robotics, 2017.


作者:Marius Fehr, Fadri Furrer, Ivan Dryanovski, Jürgen Sturm, Igor Gilitschenski, Roland Siegwart and Cesar Cadena

论文:TSDF-based change detection for consistent long-term dense reconstruction and dynamic object discovery

会议/期刊:ICRA 2017


作者:Marija Popović, Teresa Vidal-Calleja, Gregory Hitz, Inkyu Sa, Roland Siegwart and Juan Nieto

论文:Multiresolution mapping and informative path planning for UAV-based terrain monitoring

会议/期刊:arXiv,2017.


作者:Mina Kamel, Javier Alonso-Mora, Roland Siegwart and Juan Nieto

论文:Nonlinear model predictive control for multi-micro aerial vehicle robust collision avoidance

会议/期刊:arXiv, 2017.


作者:Gilles Caprari, Andreas Breitenmoser, Wolfgang Fischer, Christoph Hürzeler, Fabien Tâche, Roland Siegwart, Olivier Nguyen, Roland Moser, Patrick Schoeneich and Francesco Mondada

论文:Highly Compact Robots for Inspection of Power Plants (vol 29, pg47, 2012)

会议/期刊:Journal of Field Robotics, 2017.


作者:Inkyu Sa, Mina Kamel, Raghav Khanna, Marija Popović, Juan Nieto and Roland Siegwart

论文:Dynamic System Identification, and Control for a cost effective open-source VTOL MAV

会议/期刊:arXiv, 2017.


作者:Michael Bloesch, Michael Burri, Hannes Sommer, Roland Siegwart and Marco Hutter

论文:The Two-State Implicit Filter - Recursive Estimation for Mobile Robots

会议/期刊:IEEE Robotics and Automation Letters, 2017.


作者:Rik Bähnemann, Michael Burri, Enric Galceran, Roland Siegwart and Juan Nieto

论文:Sampling-based motion planning for active multirotor system identification

会议/期刊:ICRA 2017


作者:Rik Bähnemann, Michael Pantic, Marija Popvić, Dominik Schindler, Marco Tranzatto, Mina Kamel, Marius Grimm, Jakob Widauer, Roland Siegwart and Juan Nieto

论文:The ETH-MAV Team in the MBZ International Robotics Challenge

会议/期刊:arXiv, 2017.


作者:Rik Bähnemann, Dominik Schindler, Mina Kamel, Roland Siegwart and Juan Nieto

论文:A Decentralized Multi-Agent Unmanned Aerial System to Search, Pick Up, and Relocate Objects

会议/期刊:SSRR, 2017.


作者:Youssef Demitri, Sebastian Verling, Thomas Stastny, Amir Melzer and Roland Siegwart

论文:Model-based wind estimation for a hovering VTOL tailsitter UAV

会议/期刊:ICRA, 2017.


作者:Renaud Dubé, Daniel Dugas, Elena Stumm, Juan Nieto, Roland Siegwart and Cesar Cadena

论文:SegMatch: Segment based place recognition in 3D point clouds

会议/期刊:ICRA, 2017.


作者:Luca Furieri, Thomas Stastny, Lorenzo Marconi, Roland Siegwart and Igor Gilitschenski

论文:Gone with the wind: Nonlinear guidance for small fixed-wing aircraft in arbitrarily strong windfields

会议/期刊:ACC 2017


作者:Fadri Furrer, Martin Wermelinger, Hironori Yoshida, Fabio Gramazio, Matthias Kohler, Roland Siegwart and Marco Hutter

论文:Autonomous robotic stone stacking with online next best object target pose planning

会议/期刊:ICRA 2017


作者:Abel Gawel, Renaud Dubé, Hartmut Surmann, Juan Nieto, Roland Siegwart and Cesar Cadena

论文:3D registration of aerial and ground robots for disaster response: An evaluation of features, descriptors, and transformation estimation

会议/期刊:SSRR 2017


作者:Abel Gawel, Mina Kamel, Tonci Novkovic, Jakob Widauer, Dominik Schindler, Benjamin Pfyffer von Altishofen, Roland Siegwart and Juan Nieto

论文:Aerial picking and delivery of magnetic objects with MAVs

会议/期刊:ICRA 2017


作者:Mathias Gehrig, Elena Stumm, Timo Hinzmann and Roland Siegwart

论文:Visual place recognition with probabilistic voting

会议/期刊:ICRA 2017


作者:Jemin Hwangbo, Inkyu Sa, Roland Siegwart and Marco Hutter

论文:Control of a quadrotor with reinforcement learning

会议/期刊:IEEE Robotics and Automation Letters, 2017.


作者:Mina Kamel, Thomas Stastny, Kostas Alexis and Roland Siegwart

论文:Model predictive control for trajectory tracking of unmanned aerial vehicles using robot operating system

会议/期刊:In Robot Operating System (ROS), 2017.


作者:Raghav Khanna, Inkyu Sa, Juan Nieto and Roland Siegwart

论文:On field radiometric calibration for multispectral cameras

会议/期刊:ICRA, 2017.


作者:Antonio Loquercio, Marcin Dymczyk, Bernhard Zeisl, Simon Lynen, Igor Gilitschenski and Roland Siegwart

论文:Efficient descriptor learning for large scale localization

会议/期刊:ICRA, 2017.


作者:Philipp Lottes, Raghav Khanna, Johannes Pfeifer, Roland Siegwart and Cyrill Stachniss

论文:UAV-based crop and weed classification for smart farming

会议/期刊:ICRA, 2017.


作者:Hamza Merzić, Elena Stumm, Marcin Dymczyk, Roland Siegwart and Igor Gilitschenski

论文:Map quality evaluation for visual localization

会议/期刊:ICRA 2017


作者:Helen Oleynikova, Zachary Taylor, Roland Siegwart and Juan Nieto

论文:Safe Local Exploration for Replanning in Cluttered Unknown Environments for Micro-Aerial Vehicles

会议/期刊:arXiv, 2017.


作者:Mark Pfeiffer, Michael Schaeuble, Juan Nieto, Roland Siegwart and Cesar Cadena

论文:From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots

会议/期刊:ICRA, 2017.


作者:Marija Popović, Gregory Hitz, Juan Nieto, Inkyu Sa, Roland Siegwart and Enric Galceran

论文:Online informative path planning for active classification using UAVs

会议/期刊:ICRA 2017


作者:Joern Rehder, Janosch Nikolic, Thomas Schneider and Roland Siegwart

论文:A direct formulation for camera calibration

会议/期刊:ICRA, 2017.


作者:Thomas Schneider, Mingyang Li, Michael Burri, Juan Nieto, Roland Siegwart and Igor Gilitschenski

论文:Visual-inertial self-calibration on informative motion segments

会议/期刊:ICRA 2017, 2017


作者:Thomas Stastny, Adyasha Dash and Roland Siegwart

论文:Nonlinear MPC for Fixed-wing UAV Trajectory Tracking: Implementation and Flight Experiments

会议/期刊:AIAA 2017


作者:Andrea Tagliabue, Mina Kamel, Sebastian Verling, Roland Siegwart and Juan Nieto

论文:Collaborative transportation using MAVs via passive force control

会议/期刊:ICRA 2017


作者:Anurag Sai Vempati, Igor Gilitschenski, Juan Nieto, Paul Beardsley and Roland Siegwart

论文:Onboard real-time dense reconstruction of large-scale environments for UAV

会议/期刊:IROS, 2017.


作者:Sebastian Verling, Thomas Stastny, Gregory Bättig, Kostas Alexis and Roland Siegwart

论文:Model-based transition optimization for a VTOL tailsitter

会议/期刊:ICRA 2017


作者:Lorenz Wellhausen, Renaud Dubé, Abel Gawel, Roland Siegwart and Cesar Cadena

论文:Reliable Real-time Change Detection and Mapping for 3D LiDARs

会议/期刊:SSRR, 2017.


PHD Thesis

论文:Efficient algorithms and systems for multi-agent mapping and world-scale real-time localization

作者:Simon Lynen

时间:2019.


论文:Lifelong Mapping and Robust Place Recognition Using Cameras

作者:Marcin Dymczyk

时间:2019.


论文:Mapping and Planning for Safe Collision Avoidance On-board Micro-Aerial Vehicles

作者:Elena Oleynikova

时间:2019.


论文:Visual and Inertial Motion Estimation and Calibration

作者:Thomas Schneider

时间:2019.


论文:Real-Time Multi-Robot Localization and Mapping with 3D Point Clouds

作者:Renaud Dubé

时间:2018.


论文:Perceptive Locomotion for Legged Robots in Rough Terrain

作者:Péter Fankhauser

时间:2018.


论文:Mapping and Localization with Heterogeneous Robots

作者:Abel Gawel

时间:2018.


论文:Solar-Powered Unmanned Aerial Vehicles: Design and Environment-Aware Navigation for Robust Low-Altitude Multi-Day Continuous Flight

作者:Philipp Oettershagen

时间:2018.


论文:Learning to Navigate: Data-driven Motion Planning for Autonomous Ground Robots

作者:Mark Pfeiffer

时间:2018.


论文:Multi-Sensor System Calibrations

作者:Joern Rehder

时间:2018.


论文:Vision-Based Navigation and Parameter Identification for Unmanned Aerial Vehicles

作者:Michael Burri

时间:2017.


论文:State Estimation for Legged Robots - Kinematics, Inertial Sensing, and Computer Vision

作者:Michael Bloesch

时间:2017.


论文:Planning and Control for Agile Quadruped Robots

作者:Christian Gehring

时间:2017.


论文:Robust Fail-Safe Control for Small Unmanned Aerial Systems

作者:Konrad Rudin

时间:2017.


论文:Motion Planning in Dynamic Environments with Application to Self-Driving Vehicles

作者:Ulrich Schwesinger

时间:2017.

慕尼黑工业大学 The Computer Vision Group


2019年

论文:Visual-Inertial Mapping with Non-Linear Factor Recovery

作者:V. Usenko, N. Demmel, D. Schubert, J. Stueckler and D. Cremers

期刊/会议:arXiv 2019.


论文:GN-Net: The Gauss-Newton Loss for Deep Direct SLAM

作者:L. von Stumberg, P. Wenzel, Q. Khan and D. Cremers

期刊/会议:In preprint, 2019. ([arxiv]


2018年

论文:What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?

作者:Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy and Thomas Brox

期刊/会议:In International Journal of Computer Vision, 2018


论文:Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras

作者:H. Matsuki, L. von Stumberg, V. Usenko, J. Stueckler and D. Cremers

期刊/会议:In IEEE Robotics and Automation Letters & IROS, IEEE, 2018


论文:Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform

作者:L. Ma,, J. Stueckler, T. Wu and D. Cremers

期刊/会议:In , 2018. arxiv


论文:Direct Sparse Odometry With Rolling Shutter

作者:D. Schubert, N. Demmel, V. Usenko, J. Stueckler and D. Cremers

期刊/会议:In European Conference on Computer Vision (ECCV), 2018.


论文:Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry

作者:N. Yang, R. Wang, J. Stueckler and D. Cremers

期刊/会议:In European Conference on Computer Vision (ECCV), 2018.


论文:The TUM VI Benchmark for Evaluating Visual-Inertial Odometry

作者:D. Schubert, T. Goll, N. Demmel, V. Usenko, J. Stueckler and D. Cremers

期刊/会议:In International Conference on Intelligent Robots and Systems (IROS), 2018.


论文:A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking 作者:Tjaden, Henning, Schwanecke, Ulrich, Schömer, Elmar and Cremers, Daniel

期刊/会议:In IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018


2017年

论文:SAMP: Shape and Motion Priors for 4D Vehicle Reconstruction

作者:F. Engelmann, J. Stueckler and B. Leibe

期刊/会议:In IEEE Winter Conference on Applications of Computer Vision, WACV, 2017.


论文:Keyframe-Based Visual-Inertial Online SLAM with Relocalization

作者:Kasyanov, F. Engelmann, J. Stueckler and B. Leibe

期刊/会议:IROS, 2017.


论文:Semi-Supervised Deep Learning for Monocular Depth Map Prediction

作者:Kuznietsov, Y., Stueckler, J. and Leibe, B.

期刊/会议:CVPR, 2017.


论文:From Monocular SLAM to Autonomous Drone Exploration

作者:L. von Stumberg, V. Usenko, J. Engel, J. Stueckler and D. Cremers

期刊/会议:In European Conference on Mobile Robots (ECMR), 2017


论文:Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras

作者:L. Ma, J. Stueckler, C. Kerl and D. Cremers

期刊/会议:IROS, 2017.


论文:Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras

作者:R. Wang, M. Schwörer and D. Cremers

期刊/会议:ICCV, 2017


论文:Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras

作者:L. Ma, J. Stueckler, C. Kerl and D. Cremers

期刊/会议:IROS, 2017.


斯坦福ASL实验室  ASL: Autonomous System lab

这个实验室主要研究车辆调度优化


2019年

论文:Robot Motion Planning in Learned Latent Spaces

作者:B. Ichter and M. Pavone,

期刊/会议:IEEE Robotics and Automation Letters, Jan. 2019. (In Press)


2018年

论文:A Real-Time Framework for Kinodynamic Planning in Dynamic Environments with Application to Quadrotor Obstacle Avoidance

作者:. Allen and M. Pavone,

期刊/会议:otics and Autonomous Systems, 2018.


论文:k-sensitive Inverse Reinforcement Learning via Semi- and Non-Parametric Methods

作者:Singh, J. Lacotte, A. Majumdar, and M. Pavone

期刊/会议:Journal of Robotics Research, 2018.


斯坦福SAIL实验室SAIL-Toyota Center For AI Research


2019年

论文:Dynamic Scene View Synthesis for Traversability Estimation Using an RGB Camera

作者:Hirose, A. Sadeghian, F. Xia, R. Martin-Martin, and S. Savarese,

期刊/会议:EEE Robotics and Automation Letters


论文:Net3D: Learning Scene Flow in 3D Point Clouds

作者:Liu, C. R. Qi, and L. J. Guibas

期刊/会议:CVPR, 2019


2018年

论文:REAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark作者:Fan, Y. Zhu, J. Zhu, Z. Liu, O. Zeng, A. Gupta, J. Creus-Costa, S. Savarese, and L. Fei-Fei,

期刊/会议:Conference on Robot Learning.


斯坦福SISL实验室 SISL: Stanford Intelligent System Laboratory

这个实验室主要研究强化学习


2019年

论文:Visual depth mapping from monocular images using recurrent convolutional neural networks

作者:J. Mern, K. D. Julian, R. E. Tompa, and M. J. Kochenderfer

期刊/会议AIAA Science and Technology Forum (SciTech), 2019


论文:Simulating emergent properties of human driving behavior using multi-agent reward augmented imitation learning

作者:R. Bhattacharyya, D. J. Phillips, C. Liu, J. K. Gupta, K. R. Driggs-Campbell

期刊/会议:ICRA, 2019.


论文:Model primitive hierarchical lifelong reinforcement learning

作者:B. Wu, J. K. Gupta, and M. J. Kochenderfer

期刊/会议:International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019.


论文:Object exchangability in reinforcement learning

作者:J. Mern, D. Sadigh, and M. J. Kochenderfer

期刊/会议:AAMAS, 2019.


论文:Adaptive stress testing of safety-critical systems

作者:R. Lee and M. J. Kochenderfer

期刊/会议:Safe, Autonomous and Intelligent Vehicles, 2019.


论文:Dynamic environment prediction in urban scenes using recurrent representation learning

作者:M. Itkina, K. Driggs-Campbell, and M. J. Kochenderfer

期刊/会议:IEEE International Conference on Intelligent Transportation Systems (ITSC), 2019.


2018年

论文:Scalable decision making with sensor occlusions for autonomous driving

作者:M. Bouton, A. Nakhaei, K. Fujimura, and M. J. Kochenderfer

期刊/会议:ICRA, 2018.


论文:Online stochastic planning for multimodal sensing and navigation under uncertainty

作者:S. Choudhury, N. Gruver, and M. J. Kochenderfer

期刊/会议:Multi-Modal Perception and Control, Robotics: Science and Systems, 2018.


2017年

论文:POMDPs.jl: A framework for sequential decision making under uncertainty

作者:M. Egorov, Z. N. Sunberg, E. Balaban, T. A. Wheeler, J. K. Gupta, and M. J. Kochenderfer,期刊/会议:Journal of Machine Learning Research, 2017.


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the IEEE International Conference on Robotics and Automation (ICRA), is an annual academic conference covering advances in robotics. It is one of the premier conferences of its field with an 'A' rating from the Australian Ranking of ICT Conferences obtained in 2010 and an 'A1' rating from the Brazilian ministry of education in 2012.
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