Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 3 Similar Profiles
Sensors Engineering & Materials Science
Autonomous underwater vehicles Engineering & Materials Science
Robots Engineering & Materials Science
Observability Engineering & Materials Science
Extended Kalman filters Engineering & Materials Science
learning Physics & Astronomy
Cameras Engineering & Materials Science
Wheelchairs Engineering & Materials Science

Co Author Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2010 2017

3D Object Reconstruction from a Single Depth View with Adversarial Learning

Yang, B., Wen, H., Wang, S., Clark, R., Markham, A. & Trigoni, N. 19 Aug 2017 2017 IEEE International Conference on Computer Vision (ICCV) Workshop. IEEE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

learning

DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks

Wang, S., Clark, R., Wen, H. & Trigoni, N. 24 Jul 2017 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, p. 2043-2050 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Pipelines
learning
experiment
Feature matching

End-to-End, Sequence-to-Sequence Probabilistic Visual Odometry through Deep Neural Networks

Wang, S., Clark, R., Wen, H. & Trigoni, N. 31 Aug 2017 In : International Journal of Robotics Research.

Research output: Contribution to journalArticle

GraphTinker: Outlier Rejection and Inlier Injection for Pose Graph SLAM

Xie, L., Wang, S., Markham, A. & Trigoni, N. 30 Jun 2017 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Simultaneous localization and mapping
Rejection
Outlier
Injection
Graph in graph theory

Increasing the Efficiency of 6-DoF Localisation Using Multi-Modal Sensory Data

Clark, R., Wang, S., Wen, H., Trigoni, N. & Markham, A. 2 Jan 2017 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids). IEEE, p. 973-980 8 p. (IEEE-RAS International Conference on Humanoid Robots)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Human robot interaction
Museums
Mobile robots
Cameras
autonomy