示例#1
0
    def from_action_space(action_space, vehicle_pose, sim):
        if action_space == ActionSpaceType.Lane:
            # TAI: we should probably be fetching these waypoint through the mission planner
            target_lane_id = sim.waypoints.closest_waypoint(
                vehicle_pose, filter_from_count=4
            ).lane_id
            return LaneFollowingControllerState(target_lane_id)

        if action_space == ActionSpaceType.LaneWithContinuousSpeed:
            # TAI: we should probably be fetching these waypoint through the mission planner
            target_lane_id = sim.waypoints.closest_waypoint(
                vehicle_pose, filter_from_count=4
            ).lane_id
            return LaneFollowingControllerState(target_lane_id)

        if action_space == ActionSpaceType.ActuatorDynamic:
            return ActuatorDynamicControllerState()

        if action_space == ActionSpaceType.Trajectory:
            return TrajectoryTrackingControllerState()

        if action_space == ActionSpaceType.MPC:
            return TrajectoryTrackingControllerState()

        # Other action spaces do not need a controller state object
        return None
示例#2
0
    def from_action_space(action_space, vehicle_pose, sim):
        """Generate the appropriate controller state given an action space."""
        if action_space in (
                ActionSpaceType.Lane,
                ActionSpaceType.LaneWithContinuousSpeed,
        ):
            target_lane = sim.road_map.nearest_lane(vehicle_pose.point)
            if not target_lane:
                # This likely means this is a traffic history vehicle that is out-of-lane.
                # If not, maybe increase radius in nearest_lane call?
                raise ControllerOutOfLaneException(
                    "Controller has failed because actor is too far from lane for lane-following."
                )
            return LaneFollowingControllerState(target_lane.lane_id)

        if action_space == ActionSpaceType.ActuatorDynamic:
            return ActuatorDynamicControllerState()

        if action_space == ActionSpaceType.Trajectory:
            return TrajectoryTrackingControllerState()

        if action_space == ActionSpaceType.MPC:
            return TrajectoryTrackingControllerState()

        # Other action spaces do not need a controller state object
        return None
def run(base, client, vehicle, plane_body_id, sliders, n_steps=1e6):
    prev_friction_sum = None

    controller_state = ActuatorDynamicControllerState()
    for _ in range(n_steps):
        if not client.isConnected():
            print("Client got disconnected")
            return

        action = [
            client.readUserDebugParameter(sliders["throttle"]),
            client.readUserDebugParameter(sliders["brake"]),
            client.readUserDebugParameter(sliders["steering"]),
        ]
        ActuatorDynamicController.perform_action(vehicle,
                                                 action,
                                                 controller_state,
                                                 dt_sec=TIMESTEP_SEC)

        client.stepSimulation()
        vehicle.sync_to_panda3d()
        showbase.taskMgr.step()

        frictions_ = frictions(sliders)

        if prev_friction_sum is not None and not math.isclose(
                sum(frictions_.values()), prev_friction_sum):
            print("Updating")
            return  # will reset and take us to the next episode

        prev_friction_sum = sum(frictions_.values())

        look_at(client, vehicle.position, top_down=True)
        print(
            "Speed: {:.2f} m/s, Position: {}, Heading:{:.2f}, Sumo-Heading:{:.2f}"
            .format(
                vehicle.speed,
                vehicle.position,
                vehicle.heading,
                vehicle.heading.as_sumo,
            ),
            end="\r",
        )
示例#4
0
def run(client, vehicle, plane_body_id, sliders, n_steps=1e6):
    prev_friction_sum = None

    controller_state = ActuatorDynamicControllerState()
    for yi in range(n_steps):

        if not client.isConnected():
            print("Client got disconnected")
            return

        action = [
            client.readUserDebugParameter(sliders["throttle"]),
            client.readUserDebugParameter(sliders["brake"]),
            client.readUserDebugParameter(sliders["steering"]),
        ]
        # if (yi * TIMESTEP_SEC) > 2:
        #     action[0] = 1
        # if (yi * TIMESTEP_SEC) > 5 and (yi * TIMESTEP_SEC) < 10:
        #     action[2] = 0.5
        # if (yi * TIMESTEP_SEC) > 10 and (yi * TIMESTEP_SEC) < 15:
        #     action[2] = -0.5
        # if (yi * TIMESTEP_SEC) > 15:
        #     raise Exception("time is more than 20")

        # ActuatorDynamicController.perform_action(
        #     vehicle, action, controller_state, dt_sec=TIMESTEP_SEC
        # )
        ActuatorDynamicController.perform_action(
            vehicle, action, controller_state, dt_sec=TIMESTEP_SEC
        )

        z_yaw = vehicle.chassis.velocity_vectors[1][2]
        xx.append(vehicle.position[0])
        yy.append(vehicle.position[1])
        rvx.append(z_yaw * vehicle.chassis.longitudinal_lateral_speed[0])
        vy.append(vehicle.chassis.longitudinal_lateral_speed[1])
        latforce.append(
            (1 / 2500)
            * (
                sum(vehicle.chassis._lat_forces[2:4])
                + math.cos(vehicle.chassis.steering)
                * sum(vehicle.chassis._lat_forces[0:2])
                - math.sin(vehicle.chassis.steering)
                * sum(vehicle.chassis._lon_forces[0:2])
            )
        )
        print("Lateral Forces:", vehicle.chassis._lat_forces)
        print("Steering:", vehicle.chassis.steering)
        print(
            "Distribution:",
            vehicle.chassis.front_rear_axle_CG_distance[1],
            sum(vehicle.chassis._lat_forces[2:4]),
        )

        kk = 1.5

        latmoment.append(
            (-1 / 3150)
            * (
                (3 - kk) * sum(vehicle.chassis._lat_forces[2:4])
                - kk
                * (
                    +math.cos(vehicle.chassis.steering)
                    * sum(vehicle.chassis._lat_forces[0:2])
                    - math.sin(vehicle.chassis.steering)
                    * sum(vehicle.chassis._lon_forces[0:2])
                )
            )
        )

        speed.append(vehicle.speed)
        yaw.append(vehicle.chassis.yaw_rate[2])
        time.append(yi * TIMESTEP_SEC)
        # print(client.getDynamicsInfo(vehicle._chassis._bullet_id,-1),"ppppppppppppppppp")

        print(client.getLinkState(vehicle._chassis._bullet_id, 0), "ppppppppppppppppp")
        # client.changeDynamics(vehicle._chassis._bullet_id,-1,lateralFriction=0)
        # client.changeDynamics(plane_body_id,0,lateralFriction=0)
        # client.changeDynamics(plane_body_id,-1,lateralFriction=0)

        # for iii in range(7):
        #     client.changeDynamics(vehicle._chassis._bullet_id,iii,lateralFriction=0)
        # print(client.getDynamicsInfo(vehicle._chassis._bullet_id,iii),"ppppppppppppppppp",iii)
        ss = list(
            client.getContactPoints(plane_body_id, vehicle._chassis._bullet_id, -1, 2)
        )
        ss1 = list(
            client.getContactPoints(plane_body_id, vehicle._chassis._bullet_id, -1, 4)
        )
        ss2 = list(
            client.getContactPoints(plane_body_id, vehicle._chassis._bullet_id, -1, 5)
        )
        ss3 = list(
            client.getContactPoints(plane_body_id, vehicle._chassis._bullet_id, -1, 6)
        )

        for i in ss:
            flN.append(i[9])
            break

        for i in ss1:
            frN.append(i[9])
            break

        for i in ss2:
            rlN.append(i[9])
            break

        for i in ss3:
            rrN.append(i[9])
            break

        client.stepSimulation()

        frictions_ = frictions(sliders)

        if prev_friction_sum is not None and not math.isclose(
            sum(frictions_.values()), prev_friction_sum
        ):
            print("Updating")
            return  # will reset and take us to the next episode

        prev_friction_sum = sum(frictions_.values())

        look_at(client, vehicle.position, top_down=True)

        print(
            "Speed: {:.2f} m/s, Position: {}, Heading:{:.2f}, Sumo-Heading:{:.2f}".format(
                vehicle.speed,
                vehicle.position,
                vehicle.heading,
                vehicle.heading.as_sumo,
            ),
            end="\r",
        )