Validity and reliability of naturalistic driving scene categorization Judgments from crowdsourcing

A common challenge with processing naturalistic driving data is that humans may need to categorize great volumes of recorded visual information. By means of the online platform CrowdFlower, we investigated the potential of crowdsourcing to categorize driving scene features (i.e., presence of other road users, straight road segments, etc.) at...

Visual displays for automated driving: A survey

This paper presents the results of a literature survey on visual displays used in automated driving. We describe six visual display designs: (1) a display with three main components, (2) a bird’s-eye view display, (3) an informative speedometer, (4) a head-up display, (5) eye-catching lights for informing, and (6) eye-catching lights for guiding...