ผลต่างระหว่างรุ่นของ "หน้าหลัก"
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− | + | Arm. The lateral error has been measured with an external distance | |
+ | Arm. The lateral error has been measured with an external distance measure laser so as to have true values concerning the distance among the car plus the docking point.Sensors 2013, 13 Figure ten. Validation tests: input variables and action lateral controller.Table two. Departure and arrival points in unique situations. It's important so as to have greater docking within the charging station. Lastly, an experiment from a higher distance, both in X and Y axes (7.5 and 1.25 m, respectively), has been performed. Figure 11 shows the position in Cartesian coordinates in the perception technique, filtered and translated towards the front manage point. As inside the earlier experiments, the car reaches the docking point with an error reduce than five cm. Figure 11. Positions offered from the perception system inside the final experiment.Figure 12. Lateral command and variables in the handle inside the final experiment.Figure 12 shows the evolution with the steering position and each input variables. The manage action is soft and continuous, along with the car in no way overpasses the reference line (zero inside the Y axis). Around 20 s from the experiment, the automobile arrived to the center of your docking line, but it is just not absolutely straight;Sensors 2013,then the angular action turned the steering wheel till (35 s) the car reaches the docking point having a lateral and angular error of two cm and 0.four degrees, respectively. Then, the automatic charging arm is ready to charge the batteries. five. Conclusions and Future Work In this work, a manage architecture for autonomous docking systems, primarily based on an embedded perception program in an autonomous electric vehicle along with a recharging station for urban parking locations, is presented. Our strategy has been developed under the framework from the AMARE project, applying the information supplied by an infrared camera and diodes installed within the recharging station. The details from this sensor had been processed and filtered then sent for the handle stage for automatic docking of your automobile. The proposed architecture is quickly adaptable to any industrial electric automobile. Various experiments, departing from unique points, show very good behavior with the proposed technique. Each lateral and longitudinal errors are decrease than the limits from the charging station. The proposed controller is simple and intuitive for tuning, as well as the gains can be adapted according to the unique vehicles' characteristics. The technique presented within this paper is really operating within a genuine situation inside the city of Paris (http://www.modulowatt.com/Modulowatt_video_Mobilier_Urbain_Intelligent_fr.html) as a permanent demonstrator on the AMARE project. The proposed operate relies solely around the facts from the camera on board the automobile. When the charging station is out-of-range, the camera is obstructed, the signal is also noisy or is lost (e.g., in the event the steering wheel turns a lot), the autonomous docking maneuver is stopped until the signal is perceived once more. Because of this, other sensors and data data could be added for the handle architecture proposed, such as CAN frame data or odometer data, so as to raise the redundancy along with the robustness from the program in future operate. Furthermore, actions more than the gear shift might be deemed for more constrained scenarios. | ||
+ | "Does cleanliness impact judgments of morality?" With this question, Johnson et al. |
รุ่นแก้ไขเมื่อ 19:32, 22 มิถุนายน 2564
Arm. The lateral error has been measured with an external distance Arm. The lateral error has been measured with an external distance measure laser so as to have true values concerning the distance among the car plus the docking point.Sensors 2013, 13 Figure ten. Validation tests: input variables and action lateral controller.Table two. Departure and arrival points in unique situations. It's important so as to have greater docking within the charging station. Lastly, an experiment from a higher distance, both in X and Y axes (7.5 and 1.25 m, respectively), has been performed. Figure 11 shows the position in Cartesian coordinates in the perception technique, filtered and translated towards the front manage point. As inside the earlier experiments, the car reaches the docking point with an error reduce than five cm. Figure 11. Positions offered from the perception system inside the final experiment.Figure 12. Lateral command and variables in the handle inside the final experiment.Figure 12 shows the evolution with the steering position and each input variables. The manage action is soft and continuous, along with the car in no way overpasses the reference line (zero inside the Y axis). Around 20 s from the experiment, the automobile arrived to the center of your docking line, but it is just not absolutely straight;Sensors 2013,then the angular action turned the steering wheel till (35 s) the car reaches the docking point having a lateral and angular error of two cm and 0.four degrees, respectively. Then, the automatic charging arm is ready to charge the batteries. five. Conclusions and Future Work In this work, a manage architecture for autonomous docking systems, primarily based on an embedded perception program in an autonomous electric vehicle along with a recharging station for urban parking locations, is presented. Our strategy has been developed under the framework from the AMARE project, applying the information supplied by an infrared camera and diodes installed within the recharging station. The details from this sensor had been processed and filtered then sent for the handle stage for automatic docking of your automobile. The proposed architecture is quickly adaptable to any industrial electric automobile. Various experiments, departing from unique points, show very good behavior with the proposed technique. Each lateral and longitudinal errors are decrease than the limits from the charging station. The proposed controller is simple and intuitive for tuning, as well as the gains can be adapted according to the unique vehicles' characteristics. The technique presented within this paper is really operating within a genuine situation inside the city of Paris (http://www.modulowatt.com/Modulowatt_video_Mobilier_Urbain_Intelligent_fr.html) as a permanent demonstrator on the AMARE project. The proposed operate relies solely around the facts from the camera on board the automobile. When the charging station is out-of-range, the camera is obstructed, the signal is also noisy or is lost (e.g., in the event the steering wheel turns a lot), the autonomous docking maneuver is stopped until the signal is perceived once more. Because of this, other sensors and data data could be added for the handle architecture proposed, such as CAN frame data or odometer data, so as to raise the redundancy along with the robustness from the program in future operate. Furthermore, actions more than the gear shift might be deemed for more constrained scenarios. "Does cleanliness impact judgments of morality?" With this question, Johnson et al.