RadarScenes
PulseAugur coverage of RadarScenes — every cluster mentioning RadarScenes across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Radar object classification improved by accumulating historical scan data
A new method for radar object classification has been developed, which improves upon existing single-scan classifiers by accumulating observations over an object's history. This approach leverages the sparsity of radar …
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New tracking systems bridge synthetic-to-real gap in multi-view object detection · 2 sources tracked
Researchers have developed two new systems, Syn2RealTrack and ModTrack, to improve multi-view multi-object tracking (MV-MOT) by addressing the gap between synthetic training data and real-world application. Syn2RealTrac…
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New IRGNN model enhances radar object detection for autonomous driving
Researchers have developed IRGNN, an Invariant Radar Graph Neural Network designed for object detection using radar point clouds in autonomous driving systems. This new network addresses the challenges of sparse and uno…