Angle Measurement Method of Ice Hockey Elbow Pads Based on 3D LiDAR Point Cloud

Aiming at the problem of how to accurately measure the movable angle of ice hockey elbow pads with non-contact equipment, an angle measurement method based on 3D light detection and ranging (LiDAR) point cloud is proposed. Firstly, when the small arm is rotating, for the problem that the traditional conditional filtering can only extract the point cloud of the small arm thin rod at a fixed angle after setting parameters, the semi-circular ring conditional filtering algorithm is proposed to intercept the point cloud at different angles. Secondly, for the problem of large operation and large error margin of linear regression by least squares method directly, the column-based clustering method is proposed to extract key points, simplify the operation of point cloud data and improve the accuracy of linear regression. Finally, the effectiveness of the proposed method is verified by experimental results.