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20242026
most citedTokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving

2 citations · 6 across the 17 of their papers we have counts for

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8 papers · 1 filter

cs.RO2025

Counterfactual VLA: Self-Reflective Vision-Language-Action Model with Adaptive Reasoning

Zhenghao "Mark" Peng, Wenhao Ding, Yurong You +11

Recent reasoning-augmented Vision-Language-Action (VLA) models have improved the interpretability of end-to-end autonomous driving by generating intermediate reasoning traces. Yet…

cs.CV2025

Towards Efficient and Effective Multi-Camera Encoding for End-to-End Driving

Jiawei Yang, Ziyu Chen, Yurong You +7

We present Flex, an efficient and effective scene encoder that addresses the computational bottleneck of processing high-volume multi-camera data in end-to-end autonomous driving.…

cs.CV2025

Latent Chain-of-Thought World Modeling for End-to-End Driving

Shuhan Tan, Kashyap Chitta, Yuxiao Chen +8

Recent Vision-Language-Action (VLA) models for autonomous driving explore inference-time reasoning as a way to improve driving performance and safety in challenging scenarios. Most…

cs.RO2025

RoaD: Rollouts as Demonstrations for Closed-Loop Supervised Fine-Tuning of Autonomous Driving Policies

Guillermo Garcia-Cobo, Maximilian Igl, Peter Karkus +5

Autonomous driving policies are typically trained via open-loop behavior cloning of human demonstrations. However, such policies suffer from covariate shift when deployed in closed…

cs.RO2025★ 1 cited

Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail

NVIDIA, :, Yan Wang +41

End-to-end architectures trained via imitation learning have advanced autonomous driving by scaling model size and data, yet performance remains brittle in safety-critical long-tai…

cs.RO2025

RealDrive: Retrieval-Augmented Driving with Diffusion Models

Wenhao Ding, Sushant Veer, Yuxiao Chen +3

Learning-based planners generate natural human-like driving behaviors by learning to reason about nuanced interactions from data, overcoming the rigid behaviors that arise from rul…

cs.RO2025

Trends in Motion Prediction Toward Deployable and Generalizable Autonomy: A Revisit and Perspectives

Letian Wang, Marc-Antoine Lavoie, Sandro Papais +13

Motion prediction, recently popularized as world models, refers to the anticipation of future agent states or scene evolution, which is rooted in human cognition, bridging percepti…

cs.CV2025

DreamDrive: Generative 4D Scene Modeling from Street View Images

Jiageng Mao, Boyi Li, Boris Ivanovic +7

Synthesizing photo-realistic visual observations from an ego vehicle's driving trajectory is a critical step towards scalable training of self-driving models. Reconstruction-based…