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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Accuracy–Power Controllable LiDAR Sensor System with 3D Object Recognition for Autonomous Vehicle
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Accuracy–Power Controllable LiDAR Sensor System with 3D Object Recognition for Autonomous Vehicle

机译：具有3D对象识别自动车辆的精度可控激光雷达传感器系统

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摘要

Light detection and ranging (LiDAR) sensors help autonomous vehicles detect the surrounding environment and the exact distance to an object’s position. Conventional LiDAR sensors require a certain amount of power consumption because they detect objects by transmitting lasers at a regular interval according to a horizontal angular resolution (HAR). However, because the LiDAR sensors, which continuously consume power inefficiently, have a fatal effect on autonomous and electric vehicles using battery power, power consumption efficiency needs to be improved. In this paper, we propose algorithms to improve the inefficient power consumption of conventional LiDAR sensors, and efficiently reduce power consumption in two ways: (a) controlling the HAR to vary the laser transmission period (TP) of a laser diode (LD) depending on the vehicle’s speed and (b) reducing the static power consumption using a sleep mode, depending on the surrounding environment. The proposed LiDAR sensor with the HAR control algorithm reduces the power consumption of the LD by 6.92% to 32.43% depending on the vehicle’s speed, compared to the maximum number of laser transmissions (Nx.max). The sleep mode with a surrounding environment-sensing algorithm reduces the power consumption by 61.09%. The algorithm of the proposed LiDAR sensor was tested on a commercial processor chip, and the integrated processor was designed as an IC using the Global Foundries 55 nm CMOS process.
机译：光检测和测距（LIDAR）传感器有助于自动车辆检测周围环境和与物体位置的确切距离。传统的LIDAR传感器需要一定量的功耗，因为它们通过根据水平角度分辨率（Har）通过常规间隔传输激光来检测物体。但是，由于连续消耗功率低下的激光雷达传感器对使用电池电量对自主和电动车辆的致命作用，因此需要提高功耗效率。在本文中，我们提出了算法来提高传统激光雷达传感器的低效功耗，并以两种方式有效地降低功耗：（a）根据激光二极管（LD）的激光传输周期（Tp）控制rAR以取决于在车辆的速度和（b）上使用睡眠模式降低静态功耗，具体取决于周围环境。与最大激光传输（NX.MAX）相比，具有HAR控制算法的提出的LIDAR传感器将LD的功耗降低了6.92％至32.43％。具有周围环境传感算法的睡眠模式将功耗降低了61.09％。所提出的LIDAR传感器的算法在商业处理器芯片上进行了测试，并且集成的处理器设计为使用全球铸造件55 nm CMOS工艺的IC。

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