Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of Vehicles.
Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of Vehicles.
复制标题
DOI：
10.3390/s17020271
复制
发表时间：
2017-01-31
期刊：
影响因子：
--
通讯作者：
de Ponte Müller F
中科院分区：
文献类型：
--
作者：
de Ponte Müller F
未来的驾驶员辅助系统将依赖于对包括行人、自行车和其他车辆在内的其他道路参与者的位置的准确、可靠和连续的了解。解决这一要求的通常方法是在车辆内使用车载测距传感器。雷达、激光扫描仪或基于视觉的系统能够探测到他们视线内的物体。与这些非合作测距传感器相比，合作方法遵循一种策略，在该策略中，其他道路参与者积极支持相对位置的估计。车载测距传感器在探测范围和视角以及阻塞设施方面的局限性可以通过采用基于车对车通信的协作方法来解决。合作和非合作战略的融合似乎在准确性、可用性和稳健性方面提供了最大的好处。这项调查为读者提供了一个全面的回顾不同的技术车辆相对定位。当涉及到车辆的相对定位时，读者将了解到重要的性能指标、商业上可用的和目前正在研究的不同技术、它们的预期性能以及它们的内在局限性。此外，还综述了基于视觉的车辆检测系统的最新研究，以及基于GNSS的车辆定位和用于车辆相对定位的车载通信的最新工作。调查还包括关于融合合作和非合作方法以增加可靠性和可用性的研究工作。
Future driver assistance systems will rely on accurate, reliable and continuous knowledge on the position of other road participants, including pedestrians, bicycles and other vehicles. The usual approach to tackle this requirement is to use on-board ranging sensors inside the vehicle. Radar, laser scanners or vision-based systems are able to detect objects in their line-of-sight. In contrast to these non-cooperative ranging sensors, cooperative approaches follow a strategy in which other road participants actively support the estimation of the relative position. The limitations of on-board ranging sensors regarding their detection range and angle of view and the facility of blockage can be approached by using a cooperative approach based on vehicle-to-vehicle communication. The fusion of both, cooperative and non-cooperative strategies, seems to offer the largest benefits regarding accuracy, availability and robustness. This survey offers the reader a comprehensive review on different techniques for vehicle relative positioning. The reader will learn the important performance indicators when it comes to relative positioning of vehicles, the different technologies that are both commercially available and currently under research, their expected performance and their intrinsic limitations. Moreover, the latest research in the area of vision-based systems for vehicle detection, as well as the latest work on GNSS-based vehicle localization and vehicular communication for relative positioning of vehicles, are reviewed. The survey also includes the research work on the fusion of cooperative and non-cooperative approaches to increase the reliability and the availability.