首页> 外文会议>ASME international mechanical engineering congress and exposition >SMALL ARRAYS OF SINGLE BEAM LASER SENSORS AS EFFECTIVE LIDAR OBSTACLE DETECTION SYSTEMS FOR AUTONOMOUS VEHICLES
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SMALL ARRAYS OF SINGLE BEAM LASER SENSORS AS EFFECTIVE LIDAR OBSTACLE DETECTION SYSTEMS FOR AUTONOMOUS VEHICLES

机译:单光束激光传感器的小阵列作为自主车辆的有效激光雷达探测系统

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Ground vehicles with autonomous navigation require medium range external sensing for early obstacle detection and terrain mapping. Both are essential for path planning. The conventional method for accomplishing this is achieved by very complex and expensive LiDAR sensors with 32 to 64 individual lasers rotating rapidly and taking readings from the top of the vehicle. Our most pertinent research question however is to ascertain if a less cumbersome and cost effective setup of a small number of single beam laser rangefinder sensors can accomplish the same task. Our current method to achieve this is to sweep the sensors a variable number of steps along a predetermined angle. The information obtained is used to develop a complete and detailed view of the world around the autonomous vehicle. This paper is focused on a small laser ranger finder attached to a programmable pan-tilt mount positioned at the front of the autonomous vehicle. These were chosen as they are the most viable type of sensors for this process due to low interference and also because long range accuracy data can be obtained with reasonable power consumption. The sensors and mount are connected to a microcontroller which gathers position and distance information of significant objects in the path of the vehicle, in polar coordinates. This information is then converted to more useful Cartesian coordinates and plotted on a point cloud which is then used for path planning in real time. Future work will include sensor fusion of this system and an image sensor for detection of relevant objects such as traffic signs. Such systems establish a distance from the vehicle as well as distinguish them by shape and color.
机译:具有自主导航功能的地面车辆需要中等距离的外部传感,以便及早发现障碍物并绘制地形图。两者对于路径规划都是必不可少的。实现这一目标的常规方法是通过非常复杂且昂贵的LiDAR传感器实现的,该传感器具有32到64个独立的激光器,这些激光器会迅速旋转并从车辆顶部获取读数。但是,我们最相关的研究问题是确定少量单光束激光测距仪传感器的繁琐且经济高效的设置是否可以完成相同的任务。我们当前实现此目的的方法是沿预定角度扫动传感器可变数量的步长。获得的信息用于开发自动驾驶汽车周围世界的完整详细视图。本文将重点放在小型激光测距仪上,该测距仪安装在自动驾驶汽车前部的可编程云台支架上。选择它们是因为它们是该过程中最可行的传感器类型,因为它具有较低的干扰,并且还因为可以以合理的功耗获得远距离精度数据。传感器和底座连接到微控制器,该微控制器以极坐标收集车辆路径中重要物体的位置和距离信息。然后,此信息将转换为更有用的笛卡尔坐标,并绘制在点云上,然后将其实时用于路径规划。未来的工作将包括该系统的传感器融合和用于检测相关物体(例如交通标志)的图像传感器。这样的系统与车辆保持一定距离,并通过形状和颜色区分它们。

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