path-planning

Solid

Trajectory planning and motion control algorithm development

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Path Planning Algorithm Skill ## Purpose Enable trajectory planning and motion control algorithm development for autonomous driving applications including behavior planning and emergency maneuvers. ## Capabilities - Behavior planning state machine design - Trajectory optimization (polynomial, spline-based) - Model Predictive Control (MPC) implementation - Lattice planner implementation - Collision checking algorithms - Comfort and safety constraint handling - Emergency maneuver planning - Parking trajectory generation ## Usage Guidelines - Design behavior planning for predictable driving patterns - Optimize trajectories for comfort and efficiency - Implement robust collision checking at all planning stages - Handle edge cases and emergency situations - Validate planning algorithms in simulation - Document algorithm parameters and tuning ## Dependencies - ROS/ROS2 - Apollo - Autoware - MATLAB/Simulink ## Process Integration - ADA-002: Path Planning and Motion Control - ADA-003: ADAS Feature Development - ADA-004: Simulation and Virtual Validation

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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