Awesome-Interaction-Aware-Trajectory-Prediction and Awesome-Traffic-Agent-Trajectory-Prediction
About Awesome-Interaction-Aware-Trajectory-Prediction
jiachenli94/Awesome-Interaction-Aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
This resource helps researchers and engineers predict how vehicles, pedestrians, or even sport players will move next, considering their interactions with each other. It provides a structured collection of research papers, datasets, and code, allowing users to find the necessary inputs (historical movement data, environmental context) to develop or evaluate trajectory prediction models. Anyone working on systems that need to anticipate the movement of other agents in dynamic environments, such as autonomous vehicles or robotics, would find this useful.
About Awesome-Traffic-Agent-Trajectory-Prediction
Psychic-DL/Awesome-Traffic-Agent-Trajectory-Prediction
This is a list of papers related to traffic agent trajectory prediction.
This resource provides a curated list of research papers, datasets, and code related to predicting the future paths of traffic agents like vehicles and pedestrians. It compiles academic findings on how to forecast movement based on current and past behavior, helping researchers and engineers stay up-to-date. This is for anyone researching or developing systems that need to understand and anticipate the movement of traffic.
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