2 citations · 4 across the 7 of their papers we have counts for
8 papers
CTS-CBS: A New Approach for Multi-Agent Collaborative Task Sequencing and Path Finding
Junkai Jiang, Ruochen Li, Yibin Yang +4
This paper addresses a generalization problem of Multi-Agent Pathfinding (MAPF), called Collaborative Task Sequencing - Multi-Agent Pathfinding (CTS-MAPF), where agents must plan c…
EDRF: Enhanced Driving Risk Field Based on Multimodal Trajectory Prediction and Its Applications
Junkai Jiang, Zeyu Han, Yuning Wang +4
Driving risk assessment is crucial for both autonomous vehicles and human-driven vehicles. The driving risk can be quantified as the product of the probability that an event (such…
S2O: An Integrated Driving Decision-making Performance Evaluation Method Bridging Subjective Feeling to Objective Evaluation
Yuning Wang, Zehong Ke, Yanbo Jiang +4
Autonomous driving decision-making is one of the critical modules towards intelligent transportation systems, and how to evaluate the driving performance comprehensively and precis…
A Generalized Control Revision Method for Autonomous Driving Safety
Zehang Zhu, Yuning Wang, Tianqi Ke +5
Safety is one of the most crucial challenges of autonomous driving vehicles, and one solution to guarantee safety is to employ an additional control revision module after the plann…
D2E-An Autonomous Decision-making Dataset involving Driver States and Human Evaluation
Zehong Ke, Yanbo Jiang, Yuning Wang +3
With the advancement of deep learning technology, data-driven methods are increasingly used in the decision-making of autonomous driving, and the quality of datasets greatly influe…
PreGSU-A Generalized Traffic Scene Understanding Model for Autonomous Driving based on Pre-trained Graph Attention Network
Yuning Wang, Zhiyuan Liu, Haotian Lin +3
Scene understanding, defined as learning, extraction, and representation of interactions among traffic elements, is one of the critical challenges toward high-level autonomous driv…
A Risk-aware Planning Framework of UGVs in Off-Road Environment
Junkai Jiang, Zhenhua Hu, Zihan Xie +7
Planning module is an essential component of intelligent vehicle study. In this paper, we address the risk-aware planning problem of UGVs through a global-local planning framework…
A Survey on Datasets for Decision-making of Autonomous Vehicle
Yuning Wang, Zeyu Han, Yining Xing +2
Autonomous vehicles (AV) are expected to reshape future transportation systems, and decision-making is one of the critical modules toward high-level automated driving. To overcome…