Social aspect of anthropogenic adaptation to autonomous vehicles

The social dilemma of autonomous vehicles.

Autonomous vehicles (AVs) should reduce traffic accidents, but they will sometimes have to choose between two evils, such as running over pedestrians or sacrificing themselves and their passenger to save the pedestrians. Defining the algorithms that will help AVs make these moral decisions is a formidable challenge. We found that participants in six Amazon Mechanical Turk studies approved of ut...

Commentary: The Social Dilemma of Autonomous Vehicles

Workload Model Based Dynamic Adaptation of Social Internet of Vehicles

Social Internet of Things (SIoT) has gained much interest among different research groups in recent times. As a key member of a smart city, the vehicular domain of SIoT (SIoV) is also undergoing steep development. In the SIoV, vehicles work as sensor-hub to capture surrounding information using the in-vehicle and Smartphone sensors and later publish them for the consumers. A cloud centric cyber...

Biotechnology and Social Aspect

Recursive Bayesian Estimation Applied to Autonomous Vehicles

This thesis presents an implementation of a sequential extended Kalman filter applied to position, velocity and attitude estimation of autonomous vehicles. The filter is self-tuning by the introduction of a particle swarm otimization which tunes the process noise covariance. The sensor fusion is adaptive through the means of corrector signals. It accepts correctors in position, velocity and att...