“Autonomous vehicles will gain ground in agriculture and increase efficiency and productivity. To make autonomous vehicles operate safely, it must be provided with the ability to perceive and interpret the elements of danger in the concerned environment”, assesses Anders Petersen, robot consultant of the Danish Technological Institute's Centre for Robot Technology.
彼得森（Petersen）是欧洲项目Quad-av项目（自动农业汽车的环境意识）的领导者，这是丹麦食品工业局在食品，农业和渔业部下的丹麦食品工业局授予了资金。合作伙伴是研究机构Fraunhofer（德国），Cemagref（法国）和萨伦托大学（意大利）以及丹麦技术研究所以及拖拉机和收割机制造商Claas。
The project focuses on developing sensors and methods for data processing, allowing vehicles to become aware of their surroundings by detecting obstacles such as differences in the landscape, physical installations on the field and humans and animals that are present in the environment.
该项目合作伙伴结合了选定的传感器技术，以实现合并和增强的效果。为了使车辆能够自动地找到自己的方式，将四种类型的现有传感器技术组合在一起：立体声视觉，热力计，雷达和Ladar（又名激光雷达）。传感器安装在自主拖拉机上，并在相关方案中测试了技术。收集的数据构成了开发新技术来处理和合并传感器数据的基础，以期发现该领域的障碍。
"In the project we examine which sensors and data processing techniques are best suited to detect different kinds of obstacles such as different soil characteristics, objects such as fences, humans and animals", explains Rainer Worst, project supervisor at Fraunhofer IAIS The institute contributes its LADAR 3DLS sensor to the project. The laser-based sensor scans the surroundings of the vehicle as generates a three-dimensional scatter diagram.
