13 citations · 16 across the 11 of their papers we have counts for
8 papers · 1 filter
EvoAD: Self-Evolving Autonomous Driving via Latent World-Model Guided Post-hoc Reflection
Junjie Yang, Qiming Zhang, Yuyan Li +12
End-to-end autonomous driving systems have achieved rapid progress by learning unified policies that map sensor observations directly to driving trajectories. However, once deploye…
From Likelihood to Utility: Quality-Axis Diffusion for End-to-End Autonomous Driving
Junjie Yang, Ziyi Shi, Shuqi Shen +3
Diffusion models have become a dominant paradigm for end-to-end autonomous driving, yet existing planners organize trajectory generation along the Gaussian-noise axis, treating dri…
EditWM: Event-Decomposed World Modeling with Incremental Correction for End-to-End Autonomous Driving
Junjie Yang, Qingwei Zeng, Youyou Li +5
World models support autonomous driving by predicting the scene evolution associated with candidate trajectories. Driving dynamics differ in predictability, motivating a distinctio…
Diffusion-based 4D Trajectory Prediction and Distributed Control for UAV Swarms
Tianshun Li, Hongliang Lu, Haoang Li +1
Accurate 4D trajectory prediction and closed-loop tracking are essential for Unmanned Aerial Vehicle (UAV) swarms to achieve safe and efficient operations in complex low-altitude e…
Robust Energy-Aware Routing for Air-Ground Cooperative Multi-UAV Delivery in Wind-Uncertain Environments
Tianshun Li, Hongliang Lu, Yanggang Sheng +3
Ensuring energy feasibility under wind uncertainty is critical for the safety and reliability of UAV delivery missions. In realistic truck-drone logistics systems, UAVs must delive…
Deployment-friendly Lane-changing Intention Prediction Powered by Brain-inspired Spiking Neural Networks
Shuqi Shen, Junjie Yang, Hui Zhong +3
Accurate and real-time prediction of surrounding vehicles' lane-changing intentions is a critical challenge in deploying safe and efficient autonomous driving systems in open-world…
EcoFollower: An Environment-Friendly Car Following Model Considering Fuel Consumption
Hui Zhong, Xianda Chen, PakHin Tiu +2
To alleviate energy shortages and environmental impacts caused by transportation, this study introduces EcoFollower, a novel eco-car-following model developed using reinforcement l…
BEVGPT: Generative Pre-trained Large Model for Autonomous Driving Prediction, Decision-Making, and Planning
Pengqin Wang, Meixin Zhu, Hongliang Lu +5
Prediction, decision-making, and motion planning are essential for autonomous driving. In most contemporary works, they are considered as individual modules or combined into a mult…