Integrates a dynamic hazard field into QP-MPC trajectory planning and reports smoother, safer lane changes, overtaking, and intersection crossings in simulation.
Human-machine cooperative trajectory planning and tracking for safe automated driving,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.RO 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
A Risk-aware Spatial-temporal Trajectory Planning Framework for Autonomous Vehicles Using QP-MPC and Dynamic Hazard Fields
Integrates a dynamic hazard field into QP-MPC trajectory planning and reports smoother, safer lane changes, overtaking, and intersection crossings in simulation.