智能驾驶技术已经成为智能车的重要开发领域,这一技术实现的关键就是对车辆精确的环境感知,对周围物体进行准确识别,避免车辆在行驶过程中出现事故,在智能辅助驾驶系统起关键性作用。目前,单一传感器不能满足复杂工况下的路面识别,基于...智能驾驶技术已经成为智能车的重要开发领域,这一技术实现的关键就是对车辆精确的环境感知,对周围物体进行准确识别,避免车辆在行驶过程中出现事故,在智能辅助驾驶系统起关键性作用。目前,单一传感器不能满足复杂工况下的路面识别,基于多传感器的数据融合(Multi-sensor Information Fusion,MSIF)可以提高检测效率,改善单一传感器检测不精确的缺陷,文章先对传感器进行标定实现多传感器的时空同步,对识别的物体进行检测判断,确定前车。实验结果表明此方法有利于提高汽车安全行驶性能,可以准确、实时地识别前方车辆,满足多工况下的前车识别。展开更多
Sensing of keyhole shape and size is important for controlling of plasma arc welding process. In this study, a synchronous vision system is developed by using two CCD cameras to observe the keyhole entrance and exit s...Sensing of keyhole shape and size is important for controlling of plasma arc welding process. In this study, a synchronous vision system is developed by using two CCD cameras to observe the keyhole entrance and exit simultaneously. Experiments are conducted on stainless steel workpiece, Whole keyhole exit image and part of keyhole entrance image are captured synchronously under different welding conditions. Image processing and calibration algorithms are proposed. The boundary and front point of the keyhole entrance and exit are extracted respectively. The effects of welding current and welding speed on ,front point of keyhole entrance and exit are analyzed. Compared to the front point of the keyhole entrance, the position of the front point of the keyhole exit is better to reflect the variation of the welding parameters.展开更多
文摘智能驾驶技术已经成为智能车的重要开发领域,这一技术实现的关键就是对车辆精确的环境感知,对周围物体进行准确识别,避免车辆在行驶过程中出现事故,在智能辅助驾驶系统起关键性作用。目前,单一传感器不能满足复杂工况下的路面识别,基于多传感器的数据融合(Multi-sensor Information Fusion,MSIF)可以提高检测效率,改善单一传感器检测不精确的缺陷,文章先对传感器进行标定实现多传感器的时空同步,对识别的物体进行检测判断,确定前车。实验结果表明此方法有利于提高汽车安全行驶性能,可以准确、实时地识别前方车辆,满足多工况下的前车识别。
基金The authors are grateful to the financial support for this research from the Natural Science Foundation of Shandong Province under grant No.ZR2011EEM013 and Independent Innovation Foundation of Shandong University under grant No.2010TS108
文摘Sensing of keyhole shape and size is important for controlling of plasma arc welding process. In this study, a synchronous vision system is developed by using two CCD cameras to observe the keyhole entrance and exit simultaneously. Experiments are conducted on stainless steel workpiece, Whole keyhole exit image and part of keyhole entrance image are captured synchronously under different welding conditions. Image processing and calibration algorithms are proposed. The boundary and front point of the keyhole entrance and exit are extracted respectively. The effects of welding current and welding speed on ,front point of keyhole entrance and exit are analyzed. Compared to the front point of the keyhole entrance, the position of the front point of the keyhole exit is better to reflect the variation of the welding parameters.
