Trajectory Classification Library in C+
Budget: $250 – $750 USD
NO AGENTS OR COMPANIES PLEASE. NEED RESEARCH EXPERIENCE ON RELEVANT TOPICS.
Objective: Develop a C++ library to classify trajectories (e.g., cars, pedestrians, ships) using data points over time based on published papers and open-source libraries.
Tasks:
1. Implement traditional model-based methods (e.g., Bayesian, Dempster-Schaffer) and traditional machine learning methods (e.g., SVM).
2. Implement deep-learning based methods.
Objective: Develop a C++ library to classify trajectories (e.g., cars, pedestrians, ships) using data points over time based on published papers and open-source libraries.
Tasks:
1. Implement traditional model-based methods (e.g., Bayesian, Dempster-Schaffer) and traditional machine learning methods (e.g., SVM).
2. Implement deep-learning based methods.