OccWAM: Occupancy World-Action Models with Joint Scene-to-Ego Flow Matching
cs.RO
Submitted: 2026-10-13
Updated: 2026-10-13
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving
- World Action Models are Zero-shot Policies
- DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving
- OWMDrive: Causality-Aware End-to-End Autonomous Driving via 4D Occupancy World Model
- OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving
- UniTeD: Unified Temporal Diffusion for Joint Perception and Planning in Autonomous Driving
- An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training
- TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers
- UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving
- DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving
- KnowVal: A Knowledge-Augmented and Value-Guided Autonomous Driving System
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