124 citations · 134 across the 2 of their papers we have counts for
4 papers · 1 filter
The Limits and Potentials of Deep Learning for Robotics
Niko Sünderhauf, Oliver Brock, Walter Scheirer +8
The application of deep learning in robotics leads to very specific problems and research questions that are typically not addressed by the computer vision and machine learning com…
Multi-Modal Trip Hazard Affordance Detection On Construction Sites
Sean McMahon, Niko Sünderhauf, Ben Upcroft +1
Trip hazards are a significant contributor to accidents on construction and manufacturing sites, where over a third of Australian workplace injuries occur [1]. Current safety inspe…
Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Colour and 3D Information
Inkyu Sa, Chris Lehnert, Andrew English +4
This paper presents a 3D visual detection method for the challenging task of detecting peduncles of sweet peppers (Capsicum annuum) in the field. Cutting the peduncle cleanly is on…
Place Categorization and Semantic Mapping on a Mobile Robot
Niko Sünderhauf, Feras Dayoub, Sean McMahon +6
In this paper we focus on the challenging problem of place categorization and semantic mapping on a robot without environment-specific training. Motivated by their ongoing success…