Blaming automated vehicles in difficult situations

Masters Thesis: Decision Making under Uncertainty for Automated Vehicles in Urban Situations

One of the most crucial links to building an autonomous system is the task of decision making. The ability of a vehicle to make robust decisions on its own by predicting and assessing future consequences is what makes it intelligent. This task of decision making becomes even more complex due to the fact that the real world is uncertain, continuous and vehicles interact with each other. Sensors ...

Interrogating Assumptions about “ Difficult ” Patients and Situations

The phenomenon of health care professionals labeling patients as “difficult” is not limited to psychiatric settings and literature. In the broader medical literature, patients have been described in similar terms as “hateful” [3] or “heartsink” [4]. The description of this phenomenon in different health care settings during decades of practice and as explored in the health professions literatur...

Obstetric difficult airway guidelines - decision-making in critical situations.

Motion Sickness in Automated Vehicles

In an automated vehicle, the driver becomes a passenger. It is said that the driver seldom gets motion sickness or carsickness compared to passengers. This suggests that motion sickness could be a problem in highly automated vehicles. The present paper will discuss motion sickness in automated driving, including countermeasures using a new vehicle control method. Topics / Automated driving, Car...

Optimizing the Static and Dynamic Scheduling problem of Automated Guided Vehicles in Container Terminals

The Minimum Cost Flow (MCF) problem is a well-known problem in the area of network optimisation. To tackle this problem, Network Simplex Algorithm (NSA) is the fastest solution method. NSA has three extensions, namely Network Simplex plus Algorithm (NSA+), Dynamic Network Simplex Algorithm (DNSA) and Dynamic Network Simplex plus Algorithm (DNSA+). The objectives of the research reported in this...