A selection of state-of-the-art research materials on trajectory prediction
Browse a collection of research materials related to predicting movement trajectories for vehicles and other applications.
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Awesome-Interaction-Aware-Trajectory-Prediction has 1.7k stars on GitHub. It has been forked 308 times. Awesome-Interaction-Aware-Trajectory-Prediction is written mainly in TeX. It has been in active development since 2019. Awesome-Interaction-Aware-Trajectory-Prediction is available under the MIT license. Its main topics are artificial-intelligence, autonomous-driving, autonomous-vehicles, behavior-analysis.
A selection of state-of-the-art research materials on trajectory prediction
Awesome-Interaction-Aware-Trajectory-Prediction is an open-source project. It is released under the MIT license.
Yes. Awesome-Interaction-Aware-Trajectory-Prediction is free and open source — you can use, modify and self-host it.
Awesome-Interaction-Aware-Trajectory-Prediction is available under the MIT license.
Awesome-Interaction-Aware-Trajectory-Prediction is written mainly in TeX.
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