Detection performance on 3D dataset is challenging due to the imprecise geometry of natural objects (topographic mounds) i.e. the spatial continuity, as well as the angularity, circularity, width and ...

Tracking 3D objects accurately and consistently is crucial for autonomous vehicles, enabling more reliable downstream tasks such as trajectory prediction and motion planning. Based on the substantial ...

Online 3D multi-object tracking (MOT) has witnessed significant research interest in recent years, largely driven by demand from the autonomous systems community. However, 3D offline MOT is relatively ...

We present a unified representation for actionable spatial perception: 3D Dynamic Scene Graphs. Scene graphs are directed graphs where nodes represent entities in the scene (e.g. objects, walls, rooms ...

A computer generated, conceptual 3D graph in a studio environment. Corporate finance data being analysed and displayed with animated bar graphs. 4K Financial Business Charts, Graphs And Diagrams. 4K ...

High “spatial ability” in adolescence, including the capacity to visualize 3D objects from 2D patterns, is a statistically significant predictor of later creativity in science and technology ...

In this work, we propose 3DMOTFormer, a learned geometry-based 3D MOT framework building upon the transformer architecture. We use an Edge-Augmented Graph Transformer to reason on the track-detection ...