What AI says about Trajectron++

Trajectron-plus-plus is an open-source codebase that implements Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data, a model for predicting future trajectories of agents in multi-agent environments. The repository, associated with Stanford ASL, provides installation instructions, submodules, and documentation and references the ECCV 2020 paper by Salzmann, Ivanovic, Chakravarty, and Pavone. It is designed for researchers to forecast dynamically feasible trajectories using heterogeneous data sources, enabling study and development for autonomous navigation and related tasks.