Joint Attention in Autonomous Driving (JAAD)

Understand

In this paper we present a novel dataset for a critical aspect of autonomous driving, the joint attention that must occur between drivers and of pedestrians, cyclists or other drivers.

• This dataset is produced with the intention of demonstrating the behavioral variability of traffic participants.
• We also show how visual complexity of the behaviors and scene understanding is affected by various factors such as different weather conditions, geographical locations, traffic and demographics of the people involved.
• The ground truth data conveys information regarding the location of participants (bounding boxes), the physical conditions (e.g.