Using np.narray instead of np.matrix

[AtsushiSakai]

https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html

[AtsushiSakai]

• SLAM/FastSLAM2/fast_slam2.py
• Localization/extended_kalman_filter/extended_kalman_filter.py
• Localization/particle_filter/particle_filter.py
• SLAM/iterative_closest_point/iterative_closest_point.py
• SLAM/FastSLAM1/fast_slam1.py
• Localization/unscented_kalman_filter/unscented_kalman_filter.py
• SLAM/GraphBasedSLAM/graph_based_slam.py
• SLAM/EKFSLAM/ekf_slam.py
• PathPlanning/ModelPredictiveTrajectoryGenerator/model_predictive_trajectory_generator.py
• PathTracking/model_predictive_speed_and_steer_control/model_predictive_speed_and_steer_control.py
• PathTracking/lqr_speed_steer_control/lqr_speed_steer_control.py|
• PathTracking/lqr_steer_control/lqr_steer_control.py|
• PathPlanning/ModelPredictiveTrajectoryGenerator/lookuptable_generator.py|
• PathPlanning/VoronoiRoadMap/voronoi_road_map.py|
• PathPlanning/InformedRRTStar/informed_rrt_star.py|
• PathPlanning/LQRPlanner/LQRplanner.py|
• PathPlanning/BatchInformedRRTStar/batch_informed_rrtstar.py|
• PathPlanning/DynamicWindowApproach/dynamic_window_approach.py|
• PathPlanning/ProbabilisticRoadMap/probabilistic_road_map.py|
• PathPlanning/StateLatticePlanner/state_lattice_planner.py|
• PathPlanning/ClosedLoopRRTStar/closed_loop_rrt_star_car.py|

[AtsushiSakai]

#118

[AtsushiSakai]

I think we should use @ operator instead of dot function. dot function looks ugly and not intuitive.

[AtsushiSakai]

UKF localization done.

[AtsushiSakai]

SLAM/FastSLAM1/fast_slam1.py is done

[AtsushiSakai]

SLAM/FastSLAM2/fast_slam2.py is done

[AtsushiSakai]

Histogram filter is done

[AtsushiSakai]

PathPlanning/ModelPredictiveTrajectoryGenerator/model_predictive_trajectory_generator.py
is done

[AtsushiSakai]

PathTracking/lqr_speed_steer_control/lqr_speed_steer_control.py| is done

[AtsushiSakai]

PathTracking/lqr_steer_control/lqr_steer_control.py is done