Meta-learning recommends the best multi-target regression method using 58 meta-features from 648 synthetic datasets, with Random Forest achieving over 70% balanced accuracy.
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A graph-based behavior planner incorporating courtesy is paired with trajectory optimization to produce real-time courteous automated driving.
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Towards meta-learning for multi-target regression problems
Meta-learning recommends the best multi-target regression method using 58 meta-features from 648 synthetic datasets, with Random Forest achieving over 70% balanced accuracy.
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Towards Courteous Behavior and Trajectory Planning for Automated Driving
A graph-based behavior planner incorporating courtesy is paired with trajectory optimization to produce real-time courteous automated driving.