Accuracy-Power Controllable LiDAR Sensor System with 3D Object Recognition for Autonomous Vehicle.
Accuracy-Power Controllable LiDAR Sensor System with 3D Object Recognition for Autonomous Vehicle.
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DOI：
10.3390/s20195706
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发表时间：
2020-10-07
期刊：
影响因子：
--
通讯作者：
Park D
中科院分区：
文献类型：
--
作者：
Lee S;Lee D;Choi P;Park D
光探测和测距（LiDAR）传感器可帮助自动驾驶汽车检测周围环境以及到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分辨率（HAR）以规则间隔发射激光来检测物体。然而，由于持续低效率地消耗电力的LiDAR传感器对使用电池电力的自动驾驶和电动汽车具有致命影响，因此需要提高电力消耗效率。在本文中，我们提出了算法，以改善传统的激光雷达传感器的低效率的功耗，并有效地降低功耗的两种方式：（a）控制HAR改变激光二极管（LD）的激光传输周期（）取决于车辆的速度和（B）减少静态功耗使用睡眠模式，取决于周围环境。与激光传输的最大次数相比，采用HAR控制算法的激光雷达传感器可将LD的功耗降低6.92%至32.43%，具体取决于车辆的速度（）。睡眠模式与周围环境感知算法降低了61.09%的功耗。在商用处理器芯片上测试了所提出的LiDAR传感器的算法，并使用Global Foundries 55 nm CMOS工艺将集成处理器设计为IC。
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 () 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 (). 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.
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影响因子：
11.2
作者：
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通讯作者：
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影响因子：
2.1
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影响因子：
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通讯作者：
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