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Enhanced vision system for vehicle teleoperation in adverse climatic conditions

机译:增强型载体洞穴通离的视觉系统,在不良气候条件下

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Open pit operation in Codelco's Andina Division is interrupted in the presence of adverse climatic conditions; namely, snow fall in the winter season. Specifically, when snowfall is over the 4cm/h threshold the climate condition is considered adverse, and all manual operations are stopped due to the high level of risk that operators would be exposed to.The project “Application of Autonomous Mining in Open Pit Operations, Stage I” is currently under development. This project aims to teleoperate mining vehicles, thus providing them with the technology needed to operate remotely in adverse climatic conditions. By this means, operating time is increased and operators risk exposure is decreased. Afterwards, this technology will be available to be adapted for other Codelco divisions.Semi-autonomous vehicles will be operated from a remote and safe location. Therefore it is essential for the teleoperator to have as much as possible information about the operating environment.In this work, a solution for the visualization of the machine environment is analyzed. This solution involves the fusion of information from different sensors to provide an enhanced vision system for operators. The components of the system are a visible spectrum camera, a far infrared spectrum (thermal) camera, a RADAR, and a LIDAR. Together, these sensors allow the detection of obstacles, and provide the teleoperator with visual feedback fused with additional distance-to-obstacles information. Through this development, vehicles in the so-called “Autonomous Island” will continue to operate during snowstorms and other adverse climatic conditions.The conclusions are that the visible camera worked better than expected, which is not the case for thermal camera. The thermal camera is a complement to the camera in the visible spectrum and not on the the other side. The LIDAR worked good forall conditions; the multieco sensor allows useful readings even with lots of snow. The RADAR sensor did not affect their behavior in the different climatic conditions with long range detection.Results of the tests are positive, indicating that the prototype will work as expected. The next step is to test the sensors on mining equipment in one real production cycle with different weather conditions.
机译:在Codelco公司的Andina司露天矿操作的不利的气候条件的存在被中断;即,降雪在冬季。具体而言,当降雪量超过4厘米/ h的阈值,气候条件不利的考虑,所有手动操作停止,由于高风险的,运营商将在露天开采暴露自治区矿业to.The项目”应用程序, I期”是目前正在开发中。该项目旨在teleoperate采矿车辆,从而为他们提供在恶劣气候条件下远程操作所需要的技术。通过这种方式,工作时间增加,经营风险降低。此后,这项技术将可用于适用于其他Codelco公司divisions.Semi自主车将被从远程和安全的位置进行操作。因此,它的遥控机器人拥有多达约操作environment.In这项工作中,机器环境的可视化解决方案,分析可能的信息是至关重要的。该解决方案涉及来自不同传感器的信息融合到为运营商提供了一个增强的视觉系统。该系统的组成部分是一个可见光谱相机,远红外光谱(热)相机,雷达,和LIDAR。总之,这些传感器允许障碍物的检测,并提供与附加的距离到障碍物信息融合的视觉反馈的遥控机器人。通过这种发展,在所谓的“自主岛”的车辆将继续雪灾等不利气候conditions.The结论时操作是可见光相机工作于预期,这是不是热像仪的情况更好。热照相机是在可见光谱中,而不是在另一侧上的补体到摄像机。激光雷达良好的工作条件的forall;在multieco传感器允许有用的读数,甚至有很多的雪。雷达传感器并没有影响他们在不同气候条件下的行为与测试的远程detection.Results是积极的,表明预期的原型将正常工作。接下来的步骤是,以测试在一个真正的生产周期,不同的天气条件采矿设备的传感器。

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