The invention discloses an
electric scooter with a holder support and an intelligent imaging method thereof, and the method comprises the steps: synchronously collecting multi-
modal motion data through a plurality of sensor groups, and generating a motion characteristic parameter set; an
active control intention and a
random vibration component are analyzed through a motion separation model, a pan-tilt compensation parameter and a control
instruction set are generated, a visual semantic analysis module identifies a scene key target and calculates a
motion vector of the scene key target, a pan-tilt view field coverage range is dynamically planned in combination with a
reinforcement learning strategy, and a view field optimization parameter is output; a layered control framework is adopted to drive a holder motor to execute target attitude adjustment, and a calibrated
control signal is output; based on a
control signal and a scene semantic analysis result, a multi-frame fusion
algorithm is used for eliminating
motion blur and generating a high-resolution image,
random vibration interference in dynamic shooting of the scooter is remarkably reduced, the imaging stability is improved, and meanwhile, layered anti-disturbance control and scene sensing imaging are fused, so that the stability of the scooter is improved. The mobility of the scooter is guaranteed, and meanwhile the high-quality shooting effect is achieved.