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from typing import Optional, Tuple
import numpy as np
from smarts.core.bezier_motion_planner import BezierMotionPlanner
from smarts.core.chassis import BoxChassis
from smarts.core.coordinates import Heading, Pose
[docs]class MotionPlannerControllerState:
"""Controller state"""
def __init__(self):
self._motion_planner: BezierMotionPlanner = BezierMotionPlanner()
[docs] def get_next_state(
self,
cur_pose: Pose,
cur_speed: float,
dt: float,
target_pose_at_t: Optional[np.ndarray],
) -> Tuple[Pose, float]:
"""Computes a cubic bezier curve to the target_pose_at_t."""
cur_state = np.array(
[*cur_pose.position[:2], float(cur_pose.heading), cur_speed]
).astype(float)
if target_pose_at_t is None:
# if agent failed to produce a target pose, just use the previous pose
target_pose_at_t = cur_state
new_traj_pt = self._motion_planner.trajectory(
cur_state, target_pose_at_t, 1, dt
).reshape(4)
new_pose = Pose.from_center(new_traj_pt[:2], Heading(new_traj_pt[2]))
return new_pose, new_traj_pt[3]
[docs]class MotionPlannerController:
"""A controller that shapes agent vehicle motion to follow a motion plan."""