Last but not least, our third #ICRA2024 paper (3/3): Modern robots navigating dynamic environments demand precise real-time detection and tracking of nearby objects. For 3D multi-object tracking, recent approaches process a single measurement frame recursively with greedy association and are prone to errors in ambiguous association decisions. In our paper, "SWTrack: Multiple Hypothesis Sliding Window 3D Multi-Object Tracking" by Sandro Papais, Robert(Junguang) Ren, and Steven Lake Waslander, we introduce Sliding Window Tracker (SWTrack) which yields more accurate association and state estimation by batch processing many frames of sensor data while being capable of running online in real-time. More details are available here: Paper: https://lnkd.in/gWNe9azv Video: https://lnkd.in/gJxcuuVt This concludes our series of #ICRA2024 papers. See you in Yokohoma, Japan! #ICRA24 #slidingwindows #tracking #objectdetection #autonomousdriving
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