An autonomous driving planner that blends a dynamic risk field, Frenet-frame quintic trajectories, and adaptive particle swarm optimization is demonstrated only in two hand-picked simulations.
Decision-making method of autonomous vehicles in urban environments considering traffic laws,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Adaptive Field Effect Planner for Safe Interactive Autonomous Driving on Curved Roads
An autonomous driving planner that blends a dynamic risk field, Frenet-frame quintic trajectories, and adaptive particle swarm optimization is demonstrated only in two hand-picked simulations.