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Interested in keypoint learning in radar? Excited to share some recent work with
@IngmarPosner on keypoint learning for odometry estimation and metric localisation using a@Navtechradar! https://arxiv.org/abs/2001.10789@a2i_oxford@oxfordrobots#Robotics#SelfDrivingCarspic.twitter.com/0pqwqHLEqfHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Dan Barnes proslijedio/la je Tweet
the pre-print for our paper on learning a metric space for robust topological localisation with FMCW radar is available! https://arxiv.org/abs/2001.09438
@StefanSaftescu@mtt_gdd@danbarnes333@paul_m_newmanpic.twitter.com/vNxun0pkce
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Proud to share Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information with Rob Weston and
@IngmarPosner. A new state of the art in Radar Odometry on the Oxford Radar RobotCar Dataset! https://arxiv.org/abs/1909.03752@a2i_oxford@oxfordrobots#RoboticsHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Dan Barnes proslijedio/la je Tweet
If you care about artefact-free radar embeddings and state-of-the-art radar odometry take a look at recent work by
@danbarnes333 and Rob Weston.@a2i_oxford@oxfordrobots#Robotics#AutonomousVehicles#SelfDrivingCars https://arxiv.org/pdf/1909.03752.pdf …pic.twitter.com/uERT8JaE5i
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Dan Barnes proslijedio/la je Tweet
ORI are excited to release the Oxford Radar RobotCar Dataset! The dataset contains 280km of radar data, on top of a full sensor suite, to accelerate research in this domain. Visit http://ori.ox.ac.uk/datasets/radar-robotcar-dataset … to read more!
@danbarnes333@mtt_gdd@PMurcutt@paul_m_newman@IngmarPosnerpic.twitter.com/sd034ciHeAHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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