English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Mobile autonomy relies on the precise perception of dynamic environments.Robustly tracking moving objects in 3D world thus plays a pivotal role forapplications like trajectory prediction, obstacle avoidance, and path planning.While most current methods utilize LiDARs or cameras for Multiple ObjectTracking (MOT), the capabilities of 4D imaging radars remain largelyunexplored. Recognizing the challenges posed by radar noise and point sparsityin 4D radar data, we introduce RaTrack, an innovative solution tailored forradar-based tracking. Bypassing the typical reliance on specific object typesand 3D bounding boxes, our method focuses on motion segmentation andclustering, enriched by a motion estimation module. Evaluated on theView-of-Delft dataset, RaTrack showcases superior tracking precision of movingobjects, largely surpassing the performance of the state of the art.

RaTrack: Moving Object Detection and Tracking with 4D Radar Point Cloud