3 papers
cs.CV2026
Pedestrian Crossing Intention Prediction Using Multimodal Fusion Network
Yuanzhe Li, Steffen Müller
Pedestrian crossing intention prediction is essential for the deployment of autonomous vehicles (AVs) in urban environments. Ideal prediction provides AVs with critical environment…
cs.CV2026
Multi-Context Fusion Transformer for Pedestrian Crossing Intention Prediction in Urban Environments
Yuanzhe Li, Hang Zhong, Steffen Müller +1
Pedestrian crossing intention prediction is essential for autonomous vehicles to improve pedestrian safety and reduce traffic accidents. However, accurate pedestrian intention pred…
cs.CV2025
ACIT: Attention-Guided Cross-Modal Interaction Transformer for Pedestrian Crossing Intention Prediction
Yuanzhe Li, Steffen Müller
Predicting pedestrian crossing intention is crucial for autonomous vehicles to prevent pedestrian-related collisions. However, effectively extracting and integrating complementary…