HIGHLIGHTS
- who: Chien-Yu Lin et al. from the Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan have published the paper: Bimodal Extended Kalman Filter-Based Pedestrian Trajectory Prediction, in the Journal: Sensors 2022, 22, 8231. of /2022/
- what: The authors propose a algorithm on the With this the authors are able to make full use of the dual-state nature of the movement i.e. the is either moving or remains stationary. The authors apply the dual-mode probability model to describe the state of the on this model the authors construct . . .
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