SICK Insights, September 13, 2017 – Driver assistance systems based on 3D LiDAR sensors (also 3D laser scanners) or 3D vision sensors from SICK reliably detect blind zones around mobile machines and warn the operator of potential sources of danger or accidents in good time. Beside intelligent 3D assistance systems with the Visionary-B 3D vision sensor, the MRS1000 3D LiDAR sensor provides navigation and maneuvering support.
Maneuvering and driving in reverse are frequent causes of accidents on construction sites and in surface and underground mining, but collisions also occur in locations where cargo is handled, such as ports. Moreover, in agriculture, imprecise fertilization or harvesting processes result in losses if harvesters do not correctly recognize the contours of the windrows, for example. At the same time, these industries are also under a high level of pressure to ensure efficiency: While agriculture must produce an increasing amount of food for an increasing number of people, the costs of some raw materials are hitting rock bottom. In order to continue extracting raw materials in a profitable manner, work processes must become more efficient. Building projects are always faced with huge time pressure and also involve a higher risk of accidents due to the fact that humans collaborate closely with machines. However, many collisions and accidents can be avoided if the machine operator is supported by suitable technology. Simple warning functions are often not enough. The system must also be able to distinguish between different objects depending on their importance for collision warning purposes. In order to make this distinction, it is essential that objects are detected in terms of volume. The at times harsh ambient conditions in the fields of application also pose an additional challenge. To continue reading the article, click here.