2 papers
cs.LG2026
Unsupervised Anomaly Detection in Multi-Agent Trajectory Prediction via Transformer-Based Models
Qing Lyu, Zhe Fu, Alexandre Bayen
Identifying safety-critical scenarios is essential for autonomous driving, but the rarity of such events makes supervised labeling impractical. Traditional rule-based metrics like…
eess.SY2025
Validation and Calibration of Energy Models with Real Vehicle Data from Chassis Dynamometer Experiments
Joy Carpio, Sulaiman Almatrudi, Nour Khoudari +5
Accurate estimation of vehicle fuel consumption typically requires detailed modeling of complex internal powertrain dynamics, often resulting in computationally intensive simulatio…