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Motion- and Uncertainty-aware Path Planning for Micro Aerial Vehicles

  • Published:2014-06-05 Issue:4 Volume:31 Page:676-698
  • ISSN:1556-4959
  • Container-title:Journal of Field Robotics
  • language:en
  • Short-container-title:J. Field Robotics

Author:

Achtelik Markus W.1,Lynen Simon1,Weiss Stephan2,Chli Margarita3,Siegwart Roland4

Affiliation:

1. Autonomous Systems Lab; ETH Zurich; CH-8092 Zurich Switzerland

2. Computer Vision Group; NASA Jet Propulsion Laboratory/California Institute of Technology; Pasadena California 91109

3. Vision for Robotics Lab, School of Informatics, University of Edinburgh; Edinburgh EH8 9AB United Kingdom

4. ETH Zurich; CH-8092 Zurich Switzerland

Funder

European Community's Seventh Framework Programme

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

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1. Uncertainty-aware visually-attentive navigation using deep neural networks;The International Journal of Robotics Research;2023-12-18

2. Semantically-Enhanced Deep Collision Prediction for Autonomous Navigation Using Aerial Robots;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

3. Near-ground trajectory planning for UAVs via multi-resolution hybrid voxel-surfel map;Science China Technological Sciences;2023-04-19

4. Air Traffic Management as a Vital Part of Urban Air Mobility—A Review of DLR’s Research Work from 1995 to 2022;Aerospace;2023-01-14

5. Path Planning Method of UAV Cluster Against Forgery Attack Under Differential Boundary Constraint;Advances in Smart Vehicular Technology, Transportation, Communication and Applications;2023
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