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

Tetsuya Kimura (None)

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.

Proposal for Non-visual Navigation for Motorcycle Riders Using In-helmet Haptic Feedback

Taiki TOMOTO･Tomoya KITANI･Takuro SONE (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.

Rider Lean-Angle Estimation for Motorcycles 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.