Követés
Sebastian Scherer
Sebastian Scherer
Associate Research Professor, Carnegie Mellon University
E-mail megerősítve itt: andrew.cmu.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
37682015
Cubeslam: Monocular 3-d object slam
S Yang, S Scherer
IEEE Transactions on Robotics 35 (4), 925-938, 2019
4092019
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
2822015
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
2312020
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
2232008
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
2042013
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
1862017
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
1712012
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
1642016
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
1622018
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
1372020
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
1362007
Flying fast and low among obstacles
S Scherer, S Singh, L Chamberlain, S Saripalli
Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007
1332007
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
1272018
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
1232012
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
1192021
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
1122016
Autonomous exploration for infrastructure modeling with a micro aerial vehicle
L Yoder, S Scherer
Field and Service Robotics: Results of the 10th International Conference …, 2016
1092016
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
1082018
Monocular object and plane slam in structured environments
S Yang, S Scherer
IEEE Robotics and Automation Letters 4 (4), 3145-3152, 2019
1022019
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
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