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Found 5 papers, 1 papers with code
PIP-Net: Pedestrian Intention Prediction in the Wild
Accurate pedestrian intention prediction (PIP) by Autonomous Vehicles (AVs) is one of the current research challenges in this field.
Evaluating Driver Readiness in Conditionally Automated Vehicles from Eye-Tracking Data and Head Pose
As automated driving technology advances, the role of the driver to resume control of the vehicle in conditionally automated vehicles becomes increasingly critical.
Local and Global Contextual Features Fusion for Pedestrian Intention Prediction
The pedestrian features include body pose and local context features that represent the pedestrian's behaviour.
Traffic-Net: 3D Traffic Monitoring Using a Single Camera
Computer Vision has played a major role in Intelligent Transportation Systems (ITS) and traffic surveillance.
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic
Social distancing is a recommended solution by the World Health Organisation (WHO) to minimise the spread of COVID-19 in public places.
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