XPeng X-World: Controllable Multi-View Generative World Model for Autonomous Driving
Describes a controllable multi-view world model used for driving simulation, scenario generation, and evaluation.
THE RESEARCH ATLAS
Autonomous driving research
From task planning to multimodal reasoning: representations, actions and evaluation in driving systems.
Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
Connects driving reasoning and action prediction through Cosmos-Reason and a diffusion trajectory decoder, studying reasoning-action consistency.
Huawei Qiankun ADS 4: World Engine and World Behavior Model (WEWA)
Huawei's official WEWA description links generated scenarios in a cloud world engine with an on-vehicle world behavior model.
EMMA: End-to-End Multimodal Model for Autonomous Driving
Builds on Gemini to predict driving trajectories, perception objects and road structure from camera inputs and text.
GAIA-1: A Generative World Model for Autonomous Driving
Models video, text and vehicle actions as sequences to generate conditioned driving scenes and possible futures.
Planning-oriented Autonomous Driving
Unifies perception, prediction and planning around the driving objective, using query interfaces to coordinate tasks.
The ApolloScape Open Dataset for Autonomous Driving and its Application
Documents a driving dataset and applications for sensor fusion, semantic understanding, and localization.
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