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Wenshan Wang
Wenshan Wang
Bestätigte E-Mail-Adresse bei andrew.cmu.edu - Startseite
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Zitiert von
Zitiert von
Jahr
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
1882020
Autonomous aerial cinematography in unstructured environments with learned artistic decision‐making
R Bonatti, W Wang, C Ho, A Ahuja, M Gschwindt, E Camci, E Kayacan, ...
Journal of Field Robotics 37 (4), 606-641, 2020
812020
Towards a robust aerial cinematography platform: Localizing and tracking moving targets in unstructured environments
R Bonatti, C Ho, W Wang, S Choudhury, S Scherer
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
752019
Tartanvo: A generalizable learning-based vo
W Wang, Y Hu, S Scherer
Conference on Robot Learning, 1761-1772, 2021
652021
Autonomous drone cinematographer: Using artistic principles to create smooth, safe, occlusion-free trajectories for aerial filming
R Bonatti, Y Zhang, S Choudhury, W Wang, S Scherer
Proceedings of the 2018 international symposium on experimental robotics …, 2020
542020
Can a robot become a movie director? learning artistic principles for aerial cinematography
M Gschwindt, E Camci, R Bonatti, W Wang, E Kayacan, S Scherer
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
502019
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories
Y Zhang, W Wang, R Bonatti, D Maturana, S Scherer
arXiv preprint arXiv:1810.07225, 2018
472018
Ubiquitous robotic technology for smart manufacturing system
W Wang, X Zhu, L Wang, Q Qiu, Q Cao
Computational Intelligence and Neuroscience 2016, 2016
352016
Visual memorability for robotic interestingness via unsupervised online learning
C Wang, W Wang, Y Qiu, Y Hu, S Scherer
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
232020
AirDOS: dynamic SLAM benefits from articulated objects
Y Qiu, C Wang, W Wang, M Henein, S Scherer
2022 International Conference on Robotics and Automation (ICRA), 8047-8053, 2022
202022
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models
S Triest, M Sivaprakasam, SJ Wang, W Wang, AM Johnson, S Scherer
2022 International Conference on Robotics and Automation (ICRA), 2546-2552, 2022
192022
Tartanair: A dataset to push the limits of visual slam. In 2020 IEEE
W Wang, D Zhu, X Wang, Y Hu, Y Qiu, C Wang, Y Hu, A Kapoor, ...
RSJ International Conference on Intelligent Robots and Systems (IROS), 4909-4916, 0
17
使用三维栅格地图的移动机器人路径规划
张彪, 曹其新, 王雯珊
西安交通大学学报 47 (10), 57-61, 2013
162013
Unsupervised online learning for robotic interestingness with visual memory
C Wang, Y Qiu, W Wang, Y Hu, S Kim, S Scherer
IEEE Transactions on Robotics 38 (4), 2446-2461, 2021
122021
Improving Learning-based Ego-motion Estimation with Homomorphism-based Losses and Drift Correction
X Wang, D Maturana, S Yang, W Wang, Q Chen, S Scherer
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
122019
Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning
SJ Wang, S Triest, W Wang, S Scherer, A Johnson
5th Annual Conference on Robot Learning, 2021
112021
An automatic switching approach of robotic components for improving robot localization reliability in complicated environment
W Wang, Q Cao, X Zhu, M Adachi
Industrial robot: an international journal 41 (2), 135-144, 2014
102014
Improving Off-road Planning Techniques with Learned Costs from Physical Interactions
M Sivaprakasam, S Triest, W Wang, P Yin, S Scherer
2021 IEEE International Conference on Robotics and Automation (ICRA), 4844-4850, 2021
82021
A framework for intelligent service environments based on middleware and general purpose task planner
W Wang, Q Cao, X Zhu, S Liang
2015 International Conference on Intelligent Environments, 184-187, 2015
82015
VDB-EDT: An efficient Euclidean distance transform algorithm based on VDB data structure
D Zhu, C Wang, W Wang, R Garg, S Scherer, MQH Meng
arXiv preprint arXiv:2105.04419, 2021
72021
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