Multi-weather city: adverse weather stacking for autonomous driving by Musat, V, Fursa, I, Newman, P, Cuzzolin, F, Bradley, A

Can Priors Be Trusted? Learning to Anticipate Roadworks by Mathibela, B, Osborne, M, Posner, I, Newman, P, IEEE

“…This paper addresses the question of how much a previously obtained map of a road environment should be trusted for vehicle localisation during autonomous driving by assessing the probability that roadworks are being traversed. …”

1 year, 1000 km: the Oxford RobotCar dataset by Maddern, W, Pascoe, G, Linegar, C, Newman, P

“…We present a challenging new dataset for autonomous driving: the Oxford RobotCar Dataset. Over the period of May 2014 to December 2015 we traversed a route through central Oxford twice a week on average using the Oxford RobotCar platform, an autonomous Nissan LEAF. …”

What Could Move? Finding Cars, Pedestrians and Bicyclists in 3D Laser Data by Wang, D, Posner, I, Newman, P, IEEE

“…In particular, we wish to detect instances of classes of interest in autonomous driving applications - cars, pedestrians and bicyclists - amongst significant background clutter. …”

Vehicle detection using radar and vision with noisy data by Chadwick, SPA

“…The detection of other vehicles is therefore a key component of an autonomous driving system. This thesis investigates how the highly complementary characteristics of radar and vision can be combined to tackle the problem. …”

Mitigating distributional shift in semantic segmentation via uncertainty estimation from unlabeled data by Williams, DSW, De Martini, D, Gadd, M, Newman, P

“…To this end, a novel segmentation benchmark based on the sense-assess-eXplain (SAX) is used, which includes labeled test data spanning three autonomous-driving domains, ranging in appearance from dense urban to off-road. …”

Reading between the lanes: Road layout reconstruction from partially segmented scenes by Kunze, L, Bruls, T, Suleymanov, T, Newman, P

“…By generating an interpretable representation of road scenes and linking it to background knowledge, we believe that this approach provides a vital step towards explainable and auditable models for planning and decision making in the context of autonomous driving.</p>…”

Laser-based detection and tracking of dynamic objects by Wang, Z, Zeng Wang

“…<p>In this thesis, we present three main contributions to laser-based detection and tracking of dynamic objects, from both a model-based point of view and a model-free point of view, with an emphasis on applications to autonomous driving. A segmentation-based detector is first proposed to provide an end-to-end detection of the classes car, pedestrian and bicyclist in 3D laser data amongst significant background clutter. …”

MURFI 2016 – From cars to Mars: Applying autonomous vehicle navigation methods to a space rover mission by Yeomans, B, Porav, H, Gadd, M, Barnes, D, Dequaire, J, Wilcox, T, Kyberd, S, Venn, S, Newman, P

“…</p> <br/> <p>The Rover platform for the mission comprised the Oxford Robotics Institute’s (ORI) ARC Q14 Space Rover (Q14), and the mission provided a unique opportunity for ORI to test the performance of several of their advanced navigation and autonomous driving algorithms in realistic planetary exploration conditions over a period of several weeks (Figure 1). …”