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AI in Autonomous Driving
Neural motion planning for autonomous parking
Reinforcement learning
Data-driven planning algorithms
Model predictive control
Hierarchical two-phase strategy for efficient motion planning
Potential field-based, sampling-based, optimization-based motion planning algorithms
Deep ensemble-based sideslip angle estimation both w/ dynamics-based & kinematics-based models
Driving style-based trajectory prediction w/ generative models
Deep ensemble-based trajectory prediction w/ uncertainty
Multi-head attention based probabilistic trajectory prediction
Hybrid deep learning & rule-based model for trajectory prediction
AI in Nanosensor
TBU
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