Call for Papers

The workshop will accept extended abstracts of recently published and ongoing works (Arxiv only). Topics of interest to the workshop include, but are not limited to:

• Early detection of developing road events
• Dynamic scene understanding
• Attention modelling and predicting road users’ intentions and path
• Tracking road users (e.g., cars, pedestrians, animals, etc.)
• Driver status monitoring and human-car interaction
• Deep/machine learning for vehicle perception
• Adversarial domain adaptation for autonomous driving
• Real-time (deep learning) inference of developing hazards
• On board embedded hazard perception systems
• Computational behaviour analysis
• Sensor fusion and multi-modal AI for road condition/situation awareness
• Decision making via reinforcement and/or imitation learning
• Hazard modelling, description, and comparison
• Action planning for the handling of hazards
• Assessment and metrics for hazard perception components and systems
• Explainability and ethical implications of hazard perception and automated decision making

Paper format and submission detatils can be found in SUBMISSIONS