Search Results - "Pascoe, Geoffrey"

1 year, 1000 km: The Oxford RobotCar dataset by Maddern, Will, Pascoe, Geoffrey, Linegar, Chris, Newman, Paul

“…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…”
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Multiscale modelling and analysis of collective decision making in swarm robotics by Vigelius, Matthias, Meyer, Bernd, Pascoe, Geoffrey

“…We present a unified approach to describing certain types of collective decision making in swarm robotics that bridges from a microscopic individual-based…”
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NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance by Pascoe, Geoffrey, Maddern, Will, Tanner, Michael, Pinies, Pedro, Newman, Paul

“…We propose a direct monocular SLAM algorithm based on the Normalised Information Distance (NID) metric. In contrast to current state-of-the-art direct methods…”
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Direct Visual Localisation and Calibration for Road Vehicles in Changing City Environments by Pascoe, Geoffrey, Maddern, William, Newman, Paul

“…This paper presents a large-scale evaluation of a visual localisation method in a challenging city environment. Our system makes use of a map built by…”
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Robust lifelong visual navigation and mapping by Pascoe, Geoffrey

“…The ability to precisely determine one's location in within the world (localisation) is a key requirement for any robot wishing to navigate through the world…”
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Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments by Barnes, Dan, Maddern, Will, Pascoe, Geoffrey, Posner, Ingmar

“…We present a self-supervised approach to ignoring "distractors" in camera images for the purposes of robustly estimating vehicle motion in cluttered urban…”
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Leveraging experience for large-scale LIDAR localisation in changing cities by Maddern, Will, Pascoe, Geoffrey, Newman, Paul

“…Recent successful approaches to autonomous vehicle localisation and navigation typically involve 3D LIDAR scanners and a static, curated 3D map, both of which…”
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FARLAP: Fast robust localisation using appearance priors by Pascoe, Geoffrey, Maddern, Will, Stewart, Alexander D., Newman, Paul

“…This paper is concerned with large-scale localisation at city scales with monocular cameras. Our primary motivation lies with the development of autonomous…”
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Feature Query Networks: Neural Surface Description for Camera Pose Refinement by Germain, Hugo, DeTone, Daniel, Pascoe, Geoffrey, Schmidt, Tanner, Novotny, David, Newcombe, Richard, Sweeney, Chris, Szeliski, Richard, Balntas, Vasileios

“…Accurate 6-DoF camera pose estimation in known environments can be a very challenging task, especially when the query image was captured at viewpoints strongly…”
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Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset by Maddern, Will, Pascoe, Geoffrey, Gadd, Matthew, Barnes, Dan, Yeomans, Brian, Newman, Paul

“…We describe the release of reference data towards a challenging long-term localisation and mapping benchmark based on the large-scale Oxford RobotCar Dataset…”
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Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments by Barnes, Dan, Maddern, Will, Pascoe, Geoffrey, Posner, Ingmar

“…We present a self-supervised approach to ignoring "distractors" in camera images for the purposes of robustly estimating vehicle motion in cluttered urban…”
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