: A secondary feature where a self-attention model assigns weights to these extracted features to prioritize the most relevant data points for predicting future longitude and latitude.
: Provides a higher level of motion analysis beyond simple 2D coordinates. sc23026-WWv176447.part1.rar
A trajectory prediction model based on deep feature representation : A secondary feature where a self-attention model
: Analyzes the timing and duration of movements within the sliding window. sc23026-WWv176447.part1.rar
The core module of this model architecture focuses on processing subtrajectories to capture complex movement patterns:
: Captures the geometric and geographic positioning of a path.