Lachlan Nicholson - Google Scholar

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Co-authors

Niko Sünderhauf (Suenderhauf)Associate Professor at Queensland University of Technology, Australian Centre for Robotic VisionVerified email at qut.edu.au
Michael MilfordQUT Professor | Director (acting), QUT Robotics Centre | Microsoft Fellow | Chief Investigator, ARCVerified email at qut.edu.au
Feras DayoubSenior Lecturer at Queensland University of TechnologyVerified email at qut.edu.au

Lachlan Nicholson

Lachlan Nicholson

PhD Candidate, Queensland University of Technology.

Verified email at hdr.qut.edu.au

Machine learning robotic vision semantic SLAM


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	70	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	64	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	48	2017
QuadricSLAM: Dual quadrics as SLAM landmarks L Nicholson, M Milford, N Sunderhauf Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	5	2018
QuadricSLAM: Dual Quadrics from Object Detections L Nicholson, M Milford, N Sünderhauf
Dropout Variational Inference Improves Object Detection in Open-Set Conditions D Miller, L Nicholson, F Dayoub, N Sünderhauf

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Articles 1–6