activity
20232026
most citedUncertainty-Aware Prediction and Application in Planning for Autonomous Driving: Definitions, Methods, and Comparison

3 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving

Lingjun Zhang, Changjie Wu, Linzhe Shi +6

End-to-end autonomous driving systems are increasingly integrating Vision-Language Model (VLM) architectures, incorporating text reasoning or visual reasoning to enhance the robust…

cs.CV2026

Decoding the Delta: Unifying Remote Sensing Change Detection and Understanding with Multimodal Large Language Models

Xiaohe Li, Jiahao Li, Kaixin Zhang +5

While Multimodal Large Language Models (MLLMs) excel in general vision-language tasks, their application to remote sensing change understanding is hindered by a fundamental "tempor…

cs.RO20243 cited

Uncertainty-Aware Prediction and Application in Planning for Autonomous Driving: Definitions, Methods, and Comparison

Wenbo Shao, Jiahui Xu, Zhong Cao +2

Autonomous driving systems face the formidable challenge of navigating intricate and dynamic environments with uncertainty. This study presents a unified prediction and planning fr…

cs.RO2024

Towards Safe and Reliable Autonomous Driving: Dynamic Occupancy Set Prediction

Wenbo Shao, Jiahui Xu, Wenhao Yu +2

In the rapidly evolving field of autonomous driving, reliable prediction is pivotal for vehicular safety. However, trajectory predictions often deviate from actual paths, particula…

cs.CV20232 cited

MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings

Lei Yang, Jiaxin Yu, Xinyu Zhang +6

Although the majority of recent autonomous driving systems concentrate on developing perception methods based on ego-vehicle sensors, there is an overlooked alternative approach th…