most citedD2E-An Autonomous Decision-making Dataset involving Driver States and Human Evaluation

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

SymDrive: Realistic and Controllable Driving Simulator via Symmetric Auto-regressive Online Restoration

Zhiyuan Liu, Daocheng Fu, Pinlong Cai +5

High-fidelity and controllable 3D simulation is essential for addressing the long-tail data scarcity in Autonomous Driving (AD), yet existing methods struggle to simultaneously ach…

cs.RO2025

Modified-Emergency Index (MEI): A Criticality Metric for Autonomous Driving in Lateral Conflict

Hao Cheng, Yanbo Jiang, Qingyuan Shi +5

Effective, reliable, and efficient evaluation of autonomous driving safety is essential to demonstrate its trustworthiness. Criticality metrics provide an objective means of assess…

cs.RO2024

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…

cs.RO2024

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…

cs.CV2024★ 2 cited

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…