| 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 | 1761 | 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 | 192 | 2008 |
| 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 | 182 | 2015 |
| 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 | 150 | 2013 |
| 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 (1), 189-214, 2012 | 132 | 2012 |
| Flying fast and low among obstacles S Scherer, S Singh, L Chamberlain, S Saripalli Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007 | 121 | 2007 |
| 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 | 106 | 2007 |
| 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 | 86 | 2016 |
| 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 | 84 | 2012 |
| Autonomous exploration for infrastructure modeling with a micro aerial vehicle L Yoder, S Scherer Field and service robotics, 427-440, 2016 | 74 | 2016 |
| 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 | 69 | 2016 |
| 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 | 64 | 2017 |
| Cubeslam: Monocular 3-d object slam S Yang, S Scherer IEEE Transactions on Robotics 35 (4), 925-938, 2019 | 60 | 2019 |
| Robust autonomous flight in constrained and visually degraded shipboard environments Z Fang, S Yang, S Jain, G Dubey, S Roth, S Maeta, S Nuske, Y Zhang, ... Journal of Field Robotics 34 (1), 25-52, 2017 | 58 | 2017 |
| Autonomous exploration and motion planning for an unmanned aerial vehicle navigating rivers S Nuske, S Choudhury, S Jain, A Chambers, L Yoder, S Scherer, ... Journal of Field Robotics 32 (8), 1141-1162, 2015 | 57 | 2015 |
| Sparse tangential network (SPARTAN): Motion planning for micro aerial vehicles H Cover, S Choudhury, S Scherer, S Singh 2013 IEEE International Conference on Robotics and Automation, 2820-2825, 2013 | 51 | 2013 |
| Learning obstacle avoidance parameters from operator behavior B Hamner, S Singh, S Scherer Journal of Field Robotics 23 (11‐12), 1037-1058, 2006 | 51 | 2006 |
| Learning Obstacle Avoidance Parameters from Operator Behavior B Hamner, S Scherer, S Singh Journal of machine learning research 1 (10), 1-48, 2005 | 51 | 2005 |
| Robust multi-sensor fusion for micro aerial vehicle navigation in GPS-degraded/denied environments A Chambers, S Scherer, L Yoder, S Jain, S Nuske, S Singh 2014 American Control Conference, 1892-1899, 2014 | 49 | 2014 |
| Semantic 3D occupancy mapping through efficient high order CRFs S Yang, Y Huang, S Scherer 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 48 | 2017 |
Daniel MaturanaRobotics PhD student, CMUcmu.edu의 이메일 확인됨
