OPTIM
Optimal cueing algorithm to enhance perceived motion in driving simulators
Realistic driving simulators are used for training, testing vehicle safety, and studying driver behaviour. While technology has improved, replicating the motion sensation of a real vehicle is still challenging. Simultaneously, simulators use visuals, sounds, and physical stimuli to create a realistic experience. However, the inherently limited workspace of typical motion platforms makes it difficult to fully replicate the feeling of motion.
Enhancing Realistic Motion and Experience in Driving Simulators
Driving simulators save money, speed up design, and improve safety and performance. They are used to study driver behaviour, human-machine interaction, and for training. To enhance realism, simulators use algorithms to replicate motion sensations. This project aims to create a new motion cueing methodology that maintains consistent motion across different driving scenarios. It will analyse how various factors affect current algorithms and improve their efficiency and adaptability. The goal is to develop a more realistic algorithm tested by professional drivers in various driving situations.