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Highway Lane Tracking Using GPS in Conjunction With Onboard IMU and Vision-based Lane Tracking Measurements

机译:高速公路车道跟踪使用GPS与板载IMU和基于视觉的车道跟踪测量

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When a vehicle's Lane Departure Warning (LDW) system fails to detect lane markers on the roadway ahead of the vehicle, it loses its ability to alert the driver of an unintended lane departure. Therefore, it has been a recent trend in LDW research to explore the use of use multiple sensors, such as GPS and inertial measurement units (IMU) to assist the LDW vision system in the event of a lane detection failure [5] [7]. These multi-sensor systems typically use differential GPS or even real-time kinematic (RTK) GPS combined with high accuracy maps to locate the vehicle to within a particular lane on a roadway. Although these advanced positioning systems are highly accurate, they are currently not deployed in the consumer automobile market, so therefore, are currently not cost effective solutions. The goal of this research is to use regular GPS, combined with inertial sensors and a high accuracy map to assist a vision-based lane departure warning system. In-car GPS navigation systems are available in many automobiles, as well as automotive grade inertial sensors. The low accuracy of a typical GPS receiver found in an automotive navigation system is largely attributed to a position error. This error is too large to allow the GPS receiver to locate a vehicle in a particular lane on a roadway. This work will present a method to measure this error using a vision-based lane departure warning system together with a high-accuracy map. With the error known, the accuracy of the GPS receiver is increased to a high-enough level to localize the vehicle on a particular lane. Next, this work will present a method fusing GPS/INS/Vision and a high accuracy map for highway lane tracking. The goal of this method is to provide a backup lateral offset measurement that can be used for lane departure warning, when the LDW vision system loses track of the lane markings.
机译:当车辆的车道出发警告(LDW)系统未能检测车辆前方的道路上的车道标记时,它会失去提醒驾驶员驾驶员的驾驶员出发的能力。因此,它是LDW研究的最新趋势,探讨了使用多种传感器的使用,例如GPS和惯性测量单元(IMU),以帮助LDW视觉系统在车道检测失败[5] [7] 。这些多传感器系统通常使用差分GPS或甚至实时运动(RTK)GPS与高精度图结合,以将车辆定位到道路上的特定车道内。虽然这些先进的定位系统非常准确,但目前没有部署在消费者汽车市场上,因此目前尚未具有成本效益的解决方案。该研究的目标是使用常规GPS,结合惯性传感器和高精度图来帮助辅助基于视觉的车道出发警告系统。在许多汽车中提供车内GPS导航系统,以及汽车级惯性传感器。在汽车导航系统中发现的典型GPS接收器的低精度主要归因于位置误差。该错误太大,不能允许GPS接收器在巷道上的特定车道中定位车辆。这项工作将使用高精度地图一起使用基于视觉的车道出发警告系统来测量此错误的方法。利用已知的误差,GPS接收器的精度增加到足够高的水平,以将车辆本地化在特定车道上。接下来,这项工作将提出一种融合GPS / INS / VISION和高速公路车道跟踪的高精度地图的方法。该方法的目标是提供一种备用横向偏移测量,当LDW视觉系统失去车道标记的轨道时,可以用于车道偏离警告。

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