Low cost, low power structured light based obstacle detection

D. Ilstrup, G. Hugh Elkaim
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引用次数: 9

Abstract

We evaluate the capabilities of an inexpensive obstacle detection system consisting of a CCD or CMOS optical sensor, synchronously pulsed laser and supporting hardware and software. The goal is to expand the range of feasible autonomous vehicle applications to include those that are currently impractical due to limitations on the price, weight, or power requirements of their sensor suites. This system constitutes an active, mechanically passive sensor, relying on the mechanical activity of its host platform to sweep out samples from its surroundings. We evaluate sensor configurations in two example host platform designs. The first is a handheld obstacle detector to aid users with vision impairment, while the second is a short range detector used as part of the sensor ensemble for an autonomous ground vehicle. Tradeoffs for both continuous laser fan and single laser pointer configurations are evaluated. Since the geometric relation between the optical sensor and laser is fixed, we establish effective distance and angle between the laser and sensor given required minimum and maximum ranges, spatial resolution, platform velocity and expected velocities of potential obstacles. In situations with sufficient ambient light, range data from the laser return is used to speed the computation of well known computer vision techniques for object detection to yield estimates of obstacle positions within the environment. Pulsing the laser synchronously with a short shutter time on the camera allows operation of the device as an ANSI Z 136 class 1 device since the laser's active duty cycle is highly compressed. This approach renders visible wavelengths effectively invisible to the naked eye.
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基于低成本、低功耗结构光的障碍物检测
我们评估了由CCD或CMOS光学传感器、同步脉冲激光器和支持硬件和软件组成的廉价障碍物检测系统的能力。其目标是扩大可行的自动驾驶汽车应用范围,包括那些目前由于传感器套件的价格、重量或功率要求而不切实际的应用。该系统由主动、机械被动传感器组成,依靠其主机平台的机械活动从周围环境中清除样本。我们在两个示例主机平台设计中评估传感器配置。第一个是手持障碍物探测器,以帮助视力受损的用户,而第二个是一个短距离探测器,用于自动地面车辆的传感器集合的一部分。评估了连续激光风扇和单激光笔配置的权衡。由于光学传感器与激光器之间的几何关系是固定的,我们根据所需的最小和最大距离、空间分辨率、平台速度和潜在障碍物的预期速度,建立激光器与传感器之间的有效距离和角度。在环境光充足的情况下,激光返回的距离数据用于加速已知的计算机视觉技术的计算,用于物体检测,以产生环境中障碍物位置的估计。脉冲激光与相机上的短快门时间同步允许设备作为ANSI Z 136类1设备的操作,因为激光的有源占空比是高度压缩的。这种方法使肉眼看不到可见的波长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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