SV-WAM: An Efficient Surround-View World-Action Model for End-to-End Autonomous Driving
Overview
This research paper presents SV-WAM, a surround-view world-action model designed for end-to-end autonomous driving.
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“arXiv:2609.03602v2 Announce Type: replace-cross Abstract: World models (WMs) have demonstrated strong potential for end-to-end autonomous driving by learning predictive representations of future scene dynamics. However, generating future videos during inference introduces substantial computational overhead, leading many recent driving WMs to adopt a single front camera as input for efficient deployment. This design r”
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- arXiv Robotics — research abstractsSignalSV-WAM: An Efficient Surround-View World-Action Model for End-to-End Autonomous Driving
This research paper presents SV-WAM, a surround-view world-action model designed for end-to-end autonomous driving.
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