Comparing Utility of Inertial, Occupancy, Semantic, and Intent Information in Human Motion Prediction During Daily Tasks
cs.RO
Submitted: 2026-09-29
Updated: 2026-09-29
Project page: https://human-motion-diffusion.github.io
Terminology
Sources
- Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data
- LookOut: Real-World Humanoid Egocentric Navigation
- Indoor Future Person Localization from an Egocentric Wearable Camera
- GIMO: Gaze-Informed Human Motion Prediction in Context
- EgoCast: Forecasting Egocentric Human Pose in the Wild
- EgoCogNav: Cognition-aware Human Egocentric Navigation
- SAM 3: Segment Anything with Concepts
- EgoTraj: Real-World Egocentric Human Trajectory Dataset for Multimodal Prediction
- OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets
- Aria Everyday Activities Dataset
- Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
- DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
- Human Motion Diffusion Model
- MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
- TransDiffuser: Diverse Trajectory Generation with Decorrelated Multi-modal Representation for End-to-end Autonomous Driving
- Project Aria: A New Tool for Egocentric Multi-Modal AI Research
- $\pi^3$: Permutation-Equivariant Visual Geometry Learning
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