| Quadricslam: Dual quadrics from object detections as landmarks in object-oriented slam L Nicholson, M Milford, N Sünderhauf IEEE Robotics and Automation Letters 4 (1), 1-8, 2018 | 279 | 2018 |
| Dropout sampling for robust object detection in open-set conditions D Miller, L Nicholson, F Dayoub, N Sünderhauf 2018 IEEE International Conference on Robotics and Automation (ICRA), 3243-3249, 2018 | 213 | 2018 |
| The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research J Leitner, AW Tow, N Sünderhauf, JE Dean, JW Durham, M Cooper, ... 2017 IEEE International Conference on Robotics and Automation (ICRA), 4705-4712, 2017 | 86 | 2017 |
| QuadricSLAM: Dual quadrics as SLAM landmarks L Nicholson, M Milford, N Sunderhauf Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 6 | 2018 |
| Dropout variational inference improves object detection in open-set conditions D Miller, L Nicholson, F Dayoub, N Sünderhauf Bayesian Deep Learning Workshop at the Internation Conference on Neural …, 2017 | 1 | 2017 |
| Leveraging deep-learned object detectors for real-world semantic localization and mapping L Nicholson Queensland University of Technology, 2023 | | 2023 |
| QuadricSLAM: Dual Quadrics from Object Detections L Nicholson, M Milford, N Sünderhauf | | |
Niko SuenderhaufProfessor at Queensland University of Technology (QUT) Centre for RoboticsVerified email at qut.edu.au
