Xiangdong Zhou
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Xiangdong Zhou has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Bin Wu
School of Aeronautical Engineering, Air Force Engineering University, Xi’an 710051, China
1 shared publication - Jiali Zhang
School of Telecommunications Engineering, Xidian University, Xi’an 710071, China
1 shared publication - Jiapeng Wang
School of Telecommunications Engineering, Xidian University, Xi’an 710071, China
1 shared publication - Tengyu Jing
School of Telecommunications Engineering, Xidian University, Xi’an 710071, China
1 shared publication - Wei Wang
School of Telecommunications Engineering, Xidian University, Xi’an 710071, China
1 shared publication - Yao Sun
School of Aeronautical Engineering, Air Force Engineering University, Xi’an 710051, China
1 shared publication
Latest Publications
- Open Access
- 30 August 2026
- Published by MDPI AG in Electronics
- Vol. 15 (17) , 3901
A Traceable Benchmarking Framework for Situation Assessment in Intelligent Flying Robotic Games
Situation assessment (SA) supports maneuver decisions in dynamic three-dimensional robotic interactions, yet explicit methods depend on subjective factors and weights, whereas implicit learning-based methods are difficult to interpret. We propose a traceable benchmarking framework that standardizes motion dynamics, scenarios, capture-tagging rules, round-score metrics, and the decision carrier. Unified-Dimensional Situation Assessment (UDSA) converts heterogeneous advantages to a common altitude-equivalent scale, and Situation Assessment-Based Balanced Expert Decision-Making (SABED) enables controlled closed-loop comparison. Across five independent seeds, UDSA achieved mean round scores of 0.790 ± 0.010 against expert weighting and 0.710 ± 0.016 against Criteria Importance Through Intercriteria Correlation (CRITIC). Scenario-stratified, stress, and symmetric self-play summaries further supported robustness and label invariance. The released package enables reproduction of UDSA scoring, equivalence conversion, trajectory assessment, and the reported statistical summaries.
- 30 August 2026
- Published by MDPI AG in Electronics
- Vol. 15 (17) , 3901
Open AccessA Traceable Benchmarking Framework for Situation Assessment in Intelligent Flying Robotic Games
Situation assessment (SA) supports maneuver decisions in dynamic three-dimensional robotic interactions, yet explicit methods depend on subjective factors and weights, whereas implicit learning-based methods are difficult to interpret. We propose a traceable benchmarking framework that standardizes motion dynamics, scenarios, capture-tagging rules, round-score metrics, and the decision carrier. Unified-Dimensional Situation Assessment (UDSA) converts heterogeneous advantages to a common altitude-equivalent scale, and Situation Assessment-Based Balanced Expert Decision-Making (SABED) enables controlled closed-loop comparison. Across five independent seeds, UDSA achieved mean round scores of 0.790 ± 0.010 against expert weighting and 0.710 ± 0.016 against Criteria Importance Through Intercriteria Correlation (CRITIC). Scenario-stratified, stress, and symmetric self-play summaries further supported robustness and label invariance. The released package enables reproduction of UDSA scoring, equivalence conversion, trajectory assessment, and the reported statistical summaries.