2 papers
cs.RO2026
Learning collision risk proactively from naturalistic driving data at scale
Yiru Jiao, Simeon C. Calvert, Sander van Cranenburgh +1
Accurately and proactively alerting drivers or automated systems to emerging collisions is crucial for road safety, particularly in highly interactive and complex urban environment…
cs.LG2025
Structure-preserving contrastive learning for spatial time series
Yiru Jiao, Sander van Cranenburgh, Simeon Calvert +1
The effectiveness of neural network models largely relies on learning meaningful latent patterns from data, where self-supervised learning of informative representations can enhanc…