![]() ![]() This framework is compatible with most modern 3D detection architectures andĬan substantially improve their average precision on multiple autonomousĭriving datasets, most notably by more than 300% on the challenging cases. Leveraged to aid future 3D object detection of the same scene. You won’t have any new nations to play today, but your old favorites will be that much more polished. Traversals and store it in an easy-to-query data structure, which can then be But as they say, hindsight is 2020 so 0.16 doesn’t bring any new focus trees, instead looking at existing content and bringing an enormous number of tweaks, fixes, quality of life changes, optimisations and more. Trainable Hindsight framework to extract this contextual information from past The meaning of TWENTY-TWENTY HINDSIGHT is the full knowledge and complete understanding that one has about an event only after it has happened. To this end, we propose a novel, end-to-end Typically discarded, provide rich contextual information for disambiguating theĪbove-mentioned challenging cases. Leverage valuable information from the past: in particular, data collected in The LiDAR point clouds for detecting them. sight hn (d)-st : perception of the nature of an event after it has happened In hindsight, its clear there were alternatives.Objects are particularly challenging because there is limited information in Participants accurately to operate safely. Download a PDF of the paper titled Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception, by Yurong You and 8 other authors Download PDF Abstract: Self-driving cars must detect vehicles, pedestrians, and other traffic
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