Sebastian Scherer

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Daniel MaturanaGather AIDirección de correo verificada de gather.ai
Sanjiban ChoudhuryAssistant Professor, CornellDirección de correo verificada de cornell.edu
Sanjiv SinghResearch Professor, Carnegie Mellon UniversityDirección de correo verificada de cmu.edu
Wenshan WangCarnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Chen WangAssistant Professor, Spatial AI & Robotics (SAIR) Lab, University at BuffaloDirección de correo verificada de buffalo.edu
Rogerio BonattiSenior Researcher, MicrosoftDirección de correo verificada de microsoft.com
Yaoyu HuCarnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Shichao YangFacebook Reality LabsDirección de correo verificada de oculus.com
Jay PatrikarCarnegie Mellon UniversityDirección de correo verificada de cmu.edu
Weikun ZhenGoogleDirección de correo verificada de google.com
Stephen NuskeDirección de correo verificada de aquabyte.ai
Yuheng QiuCarnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Huai YuWuhan UniversityDirección de correo verificada de whu.edu.cn
Sankalp AroraStudent at Robotics InstituteDirección de correo verificada de andrew.cmu.edu
Azarakhsh KeipourRobotics Scientist at Amazon RoboticsDirección de correo verificada de amazon.com
Brady MoonGraduate Student, Carnegie Mellon UniversityDirección de correo verificada de cmu.edu
Mohammadreza MousaeiPhD Candidate at Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Nikhil Varma KeethaGraduate Student, Carnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Max YinAssistant Professor, City University of Hong KongDirección de correo verificada de cityu.edu.hk
Cherie HoCarnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu

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Sebastian Scherer

Associate Research Professor, Carnegie Mellon University

Dirección de correo verificada de andrew.cmu.edu - Página principal

Robotics UAS obstacle avoidance perception planning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Voxnet: A 3d convolutional neural network for real-time object recognition D Maturana, S Scherer 2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015	4225	2015
Cubeslam: Monocular 3-d object slam S Yang, S Scherer IEEE Transactions on Robotics 35 (4), 925-938, 2019	494	2019
Tartanair: A dataset to push the limits of visual slam W Wang, D Zhu, X Wang, Y Hu, Y Qiu, C Wang, Y Hu, A Kapoor, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020	326	2020
3d convolutional neural networks for landing zone detection from lidar D Maturana, S Scherer 2015 IEEE international conference on robotics and automation (ICRA), 3471-3478, 2015	297	2015
Flying fast and low among obstacles: Methodology and experiments S Scherer, S Singh, L Chamberlain, M Elgersma The International Journal of Robotics Research 27 (5), 549-574, 2008	228	2008
Improving stochastic policy gradients in continuous control with deep reinforcement learning using the beta distribution PW Chou, D Maturana, S Scherer International conference on machine learning, 834-843, 2017	217	2017
Real-time semantic mapping for autonomous off-road navigation D Maturana, PW Chou, M Uenoyama, S Scherer Field and Service Robotics: Results of the 11th International Conference …, 2018	216	2018
First results in detecting and avoiding frontal obstacles from a monocular camera for micro unmanned aerial vehicles T Mori, S Scherer 2013 IEEE international conference on robotics and automation, 1750-1757, 2013	214	2013
Rgb-d slam in dynamic environments using point correlations W Dai, Y Zhang, P Li, Z Fang, S Scherer IEEE transactions on pattern analysis and machine intelligence 44 (1), 373-389, 2020	199	2020
River mapping from a flying robot: state estimation, river detection, and obstacle mapping S Scherer, J Rehder, S Achar, H Cover, A Chambers, S Nuske, S Singh Autonomous Robots 33, 189-214, 2012	178	2012
Pop-up slam: Semantic monocular plane slam for low-texture environments S Yang, Y Song, M Kaess, S Scherer 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016	174	2016
SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM N Keetha, J Karhade, KM Jatavallabhula, G Yang, S Scherer, D Ramanan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	162	2024
Super odometry: Imu-centric lidar-visual-inertial estimator for challenging environments S Zhao, H Zhang, P Wang, L Nogueira, S Scherer 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021	158	2021
An efficient global energy optimization approach for robust 3D plane segmentation of point clouds Z Dong, B Yang, P Hu, S Scherer ISPRS Journal of Photogrammetry and Remote Sensing 137, 112-133, 2018	151	2018
Tartan racing: A multi-modal approach to the darpa urban challenge C Urmson, JA Bagnell, C Baker, M Hebert, A Kelly, R Rajkumar, ... Carnegie Mellon University, 2007	141	2007
Tartanvo: A generalizable learning-based vo W Wang, Y Hu, S Scherer Conference on Robot Learning, 1761-1772, 2021	140	2021
Flying fast and low among obstacles S Scherer, S Singh, L Chamberlain, S Saripalli Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007	134	2007
Autonomous landing at unprepared sites by a full-scale helicopter S Scherer, L Chamberlain, S Singh Robotics and Autonomous Systems 60 (12), 1545-1562, 2012	132	2012
Hierarchical registration of unordered TLS point clouds based on binary shape context descriptor Z Dong, B Yang, F Liang, R Huang, S Scherer ISPRS Journal of Photogrammetry and Remote Sensing 144, 61-79, 2018	130	2018
Regionally accelerated batch informed trees (rabit*): A framework to integrate local information into optimal path planning S Choudhury, JD Gammell, TD Barfoot, SS Srinivasa, S Scherer 2016 IEEE International Conference on Robotics and Automation (ICRA), 4207-4214, 2016	128	2016

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