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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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I Can See Clearly Now : Image Restoration via De-Raining.
TL;DR: A novel stereo dataset recorded using a system that allows one lens to be affected by real water droplets while keeping the other lens clear is introduced, and a denoising generator is trained and shown to be effective at removing the effect of real waterDroplets in the context of image reconstruction and road marking segmentation.
Proceedings ArticleDOI
Lighting invariant urban street classification
TL;DR: In this article, the authors proposed the hybrid use of illuminant invariant and RGB images to perform image classification of urban scenes despite challenging variation in lighting conditions, which can reduce the variability of the scene, resulting in a more reliable classification.
Book ChapterDOI
Automatic Self-calibration of a Full Field-of-View 3D n-Laser Scanner
TL;DR: This paper describes the design, build, automatic self-calibration and evaluation of a 3D Laser sensor using conventional parts, and applies the information theoretic measure known as Renyi Quadratic Entropy to capture the degree of organisation of a point cloud.
Proceedings ArticleDOI
LAPS-II: 6-DoF day and night visual localisation with prior 3D structure for autonomous road vehicles
TL;DR: This work proposes the use of a one-dimensional illumination invariant colour space which stems from modelling the spectral properties of the camera and scene illumination in conjunction to demonstrate a marked improvement in the ability to localise throughout the day compared to using a conventional RGB colour space.
Patent
Extrinsic calibration of imaging sensing devices and 2d lidars mounted on transportable apparatus
Ashley Napier,Paul Newman +1 more
TL;DR: In this article, a method and system for determining extrinsic calibration parameters for at least one pair of sensing devices mounted on transportable apparatus is presented, where a 3D point cloud based on data produced by a 2D LIDAR sensing device of the pair is generated.