2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 1 cited
PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?
Aleksandr Kim, Guillem Brasó, Aljoša Ošep +1
Most (3D) multi-object tracking methods rely on appearance-based cues for data association. By contrast, we investigate how far we can get by only encoding geometric relationships…
cs.CV2021★ 2 cited
EagerMOT: 3D Multi-Object Tracking via Sensor Fusion
Aleksandr Kim, Aljoša Ošep, Laura Leal-Taixé
Multi-object tracking (MOT) enables mobile robots to perform well-informed motion planning and navigation by localizing surrounding objects in 3D space and time. Existing methods r…