Skip to content

Latest commit

 

History

History
29 lines (15 loc) · 761 Bytes

README.md

File metadata and controls

29 lines (15 loc) · 761 Bytes

Carla Frenet Frame Obstacle Avoidance and NMPC/PID Trajectory tracking

Frenet-trajectory generation is done using the PythonRobotics library, The vehicle simulated is a Tesla Model 3, The trajectories are dynamically generated for every 200 meters.

Highlights

  • Frenet Trajectory Generation in Carla(0.9.13)
  • PID controller for trajectory tracking
  • Dynamic and Static Obstacle Avoidance
  • Collision free trajectories in presence of traffic
  • Lane Change, Lane Merge and Intersection Management with Frenet Frames

Demo: Dynamic Replanning from last waypoint

1

Obstacle Avoidance

2

Intersection Management

3