3 papers
cs.RO2018
QuadricSLAM: Dual Quadrics from Object Detections as Landmarks in Object-oriented SLAM
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. We derive a SLAM fo…
cs.CV2017
Dropout Sampling for Robust Object Detection in Open-Set Conditions
Dimity Miller, Lachlan Nicholson, Feras Dayoub +1
Dropout Variational Inference, or Dropout Sampling, has been recently proposed as an approximation technique for Bayesian Deep Learning and evaluated for image classification and r…
cs.RO2016
The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Research
Jürgen Leitner, Adam W. Tow, Jake E. Dean +15
Robotic challenges like the Amazon Picking Challenge (APC) or the DARPA Challenges are an established and important way to drive scientific progress. They make research comparable…