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Paul Newman
Researcher at University of Oxford
Publications - 287
Citations - 21374
Paul Newman is an academic researcher from University of Oxford. The author has contributed to research in topics: Mobile robot & Radar. The author has an hindex of 59, co-authored 278 publications receiving 18608 citations. Previous affiliations of Paul Newman include University of Sydney & Carnegie Mellon University.
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The Oxford Road Boundaries Dataset
TL;DR: The Oxford Road Boundaries Dataset as discussed by the authors is designed for training and testing machine-learning-based road-boundary detection and inference approaches, which contains images from a diverse set of straight roads, parked cars, junctions, etc.
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Depth-SIMS: Semi-Parametric Image and Depth Synthesis
TL;DR: The quality of the generated data is analysed as training data for semantic segmentation and depth completion, and it is shown that the approach is more suited for this purpose than other methods.
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Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations
TL;DR: In this article , the authors propose to fit distributions, such as histograms or Gaussians, to activations of neurons in a pre-trained feature extractor through which they pass the image(s) to represent.
Journal ArticleDOI
Point-based metric and topological localisation between lidar and overhead imagery
TL;DR: In this paper , a method for solving the localisation of a ground lidar using overhead imagery only is presented, which can be used as the map proxy for robot localisation.
Proceedings ArticleDOI
Adaptive data compression for robot perception
TL;DR: This approach explicitly leverages the probabilistic nature of Gaussian Process regression to provide for a principled, adaptive subsampling which automatically prunes redundant data.