583 citations · 1.4k across the 9 of their papers we have counts for
13 papers
Human Behavior-Informed Crash Scenario Generation with Real-World Crash Priors for Autonomous Vehicle Safety Evaluation
Mingxing Peng, Xusen Guo, Long Chen +3
Reliable safety evaluation of autonomous vehicles (AVs) is essential to improving road safety, yet it depends critically on realistic simulation of rare crashes. Existing crash sce…
OpenSpace Lab Solution to the IROS 2026 Indoor Exploration Competition
Yuxuan Zhang, Dong Li, Zezhou Sun +5
This report presents the \textbf{OpenSpace Lab}'s solution to the Competition on Intelligent Information Gathering for Single and Multi-Robot Systems Workshops, organized as part o…
SpikeVLA: Vision-Language-Action Models with Spiking Neural Networks
Ruiqi Song, Dujun Nie, Siyu Teng +7
Vision-Language-Action (VLA) models have become a dominant paradigm for embodied intelligence. However, most existing approaches are built on large-scale transformers, resulting in…
He3-Seeker: Robotic Information Planning for Lunar Helium-3 Distribution Mapping
Dong Li, Yujie Zheng, Chengdeng Cao +4
Lunar helium-3 is a highly valuable strategic resource, pivotal to the advancement of both deep-space exploration and space mining. Existing lunar helium-3 exploration methodologie…
TSC: Topology-Conditioned Stackelberg Coordination for Multi-Agent Reinforcement Learning in Interactive Driving
Xiaotong Zhang, Gang Xiong, Yuanjing Wang +3
Safe and efficient autonomous driving in dense traffic is fundamentally a decentralized multi-agent coordination problem, where interactions at conflict points such as merging and…
Scenario Engineering for Autonomous Transportation: A New Stage in Open-Pit Mines
Siyu Teng, Xuan Li, Yucheng Li +3
In recent years, open-pit mining has seen significant advancement, the cooperative operation of various specialized machinery substantially enhancing the efficiency of mineral extr…
Scenarios Engineering driven Autonomous Transportation in Open-Pit Mines
Siyu Teng, Xuan Li, Yuchen Li +3
One critical bottleneck that impedes the development and deployment of autonomous transportation in open-pit mines is guaranteed robustness and trustworthiness in prohibitively ext…
FusionPlanner: A Multi-task Motion Planner for Mining Trucks via Multi-sensor Fusion
Siyu Teng, Luxi Li, Yuchen Li +4
In recent years, significant achievements have been made in motion planning for intelligent vehicles. However, as a typical unstructured environment, open-pit mining attracts limit…
Milestones in Autonomous Driving and Intelligent Vehicles Part II: Perception and Planning
Long Chen, Siyu Teng, Bai Li +7
Growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their promise for enhanced safety, efficiency, and economic benefits. While previous surveys…
Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors
Long Chen, Yuchen Li, Chao Huang +10
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace due to the convenience, safety, and economic benefits. Although a number of surveys ha…
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys
Long Chen, Yuchen Li, Chao Huang +13
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace due to the convenience, safety, and economic benefits. Although a number of surveys ha…
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
Siyu Teng, Xuemin Hu, Peng Deng +8
Intelligent vehicles (IVs) have gained worldwide attention due to their increased convenience, safety advantages, and potential commercial value. Despite predictions of commercial…
CenterNet3D: An Anchor Free Object Detector for Point Cloud
Guojun Wang, Jian Wu, Bin Tian +3
Accurate and fast 3D object detection from point clouds is a key task in autonomous driving. Existing one-stage 3D object detection methods can achieve real-time performance, howev…