Helen Oleynikova

According to our database1, Helen Oleynikova authored at least 14 papers between 2014 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
History-aware Autonomous Exploration in Confined Environments using MAVs.
CoRR, 2018

Sparse 3D Topological Graphs for Micro-Aerial Vehicle Planning.
CoRR, 2018

Receding horizon path planning for 3D exploration and surface inspection.
Auton. Robots, 2018

2017
TSDF Manifolds: A Scalable and Consistent Dense Mapping Approach.
CoRR, 2017

Safe Local Exploration for Replanning in Cluttered Unknown Environments for Micro-Aerial Vehicles.
CoRR, 2017

Voxblox: Incremental 3D Euclidean Signed Distance Fields for on-board MAV planning.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016
Voxblox: Building 3D Signed Distance Fields for Planning.
CoRR, 2016

Continuous-time trajectory optimization for online UAV replanning.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Maximum likelihood parameter identification for MAVs.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Receding horizon "next-best-view" planner for 3D exploration.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Real-time visual-inertial localization for aerial and ground robots.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Real-time visual-inertial mapping, re-localization and planning onboard MAVs in unknown environments.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Reactive avoidance using embedded stereo vision for MAV flight.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Real-time and low latency embedded computer vision hardware based on a combination of FPGA and mobile CPU.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014


  Loading...