Automated Lane Keep Assist System: A study on the formation and evolution of the mental model of the user of ALKS

The mental model is a very rarely studied topic when it comes to human-machine interaction. Nearly all the studies that are done in this field are on measuring the actual performance of the human while performing the collaborative task with the automation system rather than understanding the complete picture of how the human is understanding and...

Promoting Road Safety Between Automated Vehicles and Cyclists

Interacting with cyclists is a difficult challenge for Automated Vehicles (AVs). It is important that the introduction of AVs does not lead to a decrease in cyclist safety. This study presents a new methodology that is developed to assess road safety between AVs and cyclists. Surrogate Measures of Safety are identified specifically for the...

Explorative study for application of spatial augmented reality on factory automated ground vehicles

Context & Problem Humans are entering the age of the 4th industrial revolution: improving factories by applying smart sensors, artificial intelligence, and other emerging technologies, such as AGVs: Autonomous Ground Vehicles. these are fully automated driverless vehicles that can transport goods and machinery. The newest generation AGVs...

Enhancement of Air Traffic Controller's Task Engagement for Smooth Transition from Supervisory to Manual Control

To meet the increasing demands of air traffic, automated systems have been introduced to help air traffic controllers cope with the increasing air traffic in the next two decades. A challenge is that the supervision and evaluation of automated conflict detection and resolution tools have to be performed by human air traffic controllers. These...

Measuring driver perception during on-road eye-tracking: Combining gaze behaviour and vehicle’s road scene perception

Long before humans will completely trust fully automated vehicles, partial and conditional automation where the human driver is still in the loop will dominate the era of autonomous vehicles. However, more than 90% of traffic accidents are due to human errors, of which approximately half appear to be due to perceptual errors. Especially at busy...

A Method for Determining How Much Time People Need to Understand Traffic Situations

It is expected that in the coming decade, cars with an automated driving mode will become available. Most likely, this automated mode will only be used in specific situations and/or on specific roads, which means that the driver/automation needs to switch between the automated mode and manual control. Such switches are termed ‘transitions of...

RubbleViewer: Communicating for situation awareness in the urban search and rescue domain

The current way of communicating situation awareness through sketches has been found not sufficient as is seen during exercises of usar.nl. The proposed solution RubbleViewer presents the personnel with a 3d map where they can annotate information on. This map of a collapsed building is calculated by running photogrammetric algorithms on an...