[Keynote Address] Analysis of Eigenmode Responses in Motorcycle Cornering Dynamics

Tetsuya Kimura

This study investigates motorcycle behavior during the transition from straight running to cornering by decomposing the motion into individual eigenmode responses, thereby clarifying the contribution of each mode.

A Method for Non-Visual Navigation of Motorcycle Riders Using In-Helmet Haptic Feedback

Taiki Tomoto･Takuro Sone･Tomoya Kitani (Shizuoka University)

Screen gazing associated with the widespread use of smartphone navigation on motorcycles is a significant factor increasing accident risk. In this study, a tactile presentation system was constructed by arranging vibration actuators inside a helmet, and an intuitive directional indication method is proposed. Perceptual characteristics were evaluated through subject experiments to investigate the potential of a novel navigation system independent of visual information.

A Method for Lean Angle Estimation of Motorcycle Riders via Factor-Graph-Based Integration of Onboard GNSS/IMU

Yuki Matsumura･Tomoya Kitani (Shizuoka University)

Estimating the rider lean angle, defined as the rider's inclination relative to the motorcycle body, is essential for elucidating posture control mechanisms during cornering and for quantitatively assessing riding skill. This study proposes a method to estimate rider lean angle by integrating time-series data obtained from on-board GNSS and IMU sensors using factor graph optimization.