Xianlin Zhang

2 papers indexed

arxivcs.CV2026-07-23

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving

Mengshi Qi, Xiaoyang Bi, Xianlin Zhang, Huadong Ma

Self-supervised depth estimation is challenging for safe autonomous driving under various adverse weather conditions due to sensor perception degradation. These challenges arise from two main aspects. Firstly, adverse conditions can distort pixel correspondences and violate the a…

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arxivcs.CVcs.AI2026-07-05

CritiqueDriveVLM: From Verifier-Guided Reinforcement Learning to Latent Thought Distillation for Autonomous Driving

Zhaohong Liu, Hao Ye, Xianlin Zhang, Mengshi Qi

End-to-end Vision-Language Models (VLMs) show immense potential in autonomous driving. However, standard Supervised Fine-Tuning (SFT) often suffers from reasoning hallucinations and conservative biases. While traditional tool-augmented frameworks and Chain-of-Thought (CoT) approa…

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