QuadricSLAM: Dual Quadrics from Object Detections as Landmarks in Object-oriented SLAM

no code implementations • 10 Apr 2018 • Lachlan Nicholson, Michael Milford, Niko Sünderhauf

In this paper, we use 2D object detections from multiple views to simultaneously estimate a 3D quadric surface for each object and localize the camera position.

Robotics

Dropout Sampling for Robust Object Detection in Open-Set Conditions

no code implementations • 18 Oct 2017 • Dimity Miller, Lachlan Nicholson, Feras Dayoub, Niko Sünderhauf

Dropout Variational Inference, or Dropout Sampling, has been recently proposed as an approximation technique for Bayesian Deep Learning and evaluated for image classification and regression tasks.

Image Classification Object +3

The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Research

1 code implementation • 17 Sep 2016 • Jürgen Leitner, Adam W. Tow, Jake E. Dean, Niko Suenderhauf, Joseph W. Durham, Matthew Cooper, Markus Eich, Christopher Lehnert, Ruben Mangels, Christopher Mccool, Peter Kujala, Lachlan Nicholson, Trung Pham, James Sergeant, Liao Wu, Fangyi Zhang, Ben Upcroft, Peter Corke

We present a new physical benchmark challenge for robotic picking: the ACRV Picking Benchmark (APB).