Probabilistic Pedestrian Forecasts from a Handheld Phone: World-Frame Heat Maps, Visual-Inertial Height Drift, and Evaluation without Ground Truth
cs.CV, cs.RO
Submitted: 2026-10-03
Updated: 2026-10-03
Comments: 28 pages, 7 figures, 16 tables
Code: https://github.com/ultralytics/ultralytics
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- BoT-SORT: Robust Associations Multi-Pedestrian Tracking
- Rethinking Atrous Convolution for Semantic Image Segmentation
- RealTraj: Towards Real-World Pedestrian Trajectory Forecasting
- HEADS-UP: Head-Mounted Egocentric Dataset for Trajectory Prediction in Blind Assistance Systems
- EgoTraj-Bench: Towards Robust Trajectory Prediction Under Ego-view Noisy Observations
- Decoupled Weight Decay Regularization
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