left: rectified camera image; right: visualization of the visual slam algorithm

Navigating through unknown surroundings comes relatively easy for most humans. However, it is a highly complex task for autonomous mobile robots and automated guided vehicles (AGV). A sensor needs to simultaneously construct a map of its surroundings and find its location within this map. While this task presents a chicken-and-egg problem (a map is needed for the localization and a location is needed for the mapping), the most reliable solution is called Simultaneous Localization and Mapping (SLAM).

Its underlying algorithms are mainly divided into visual-based and lidar-based SLAM. While lidar-based approaches are less sensitive to lighting conditions, they usually have…


Watch the full-length video here: https://youtu.be/8ocQGP-9gTk

Tracking people’s movements and their behavior is a complex task with many applications in a variety of business areas. Prominent use-cases include people counting, path optimization in retail environments and analyzing in-store consumer behavior. More recently, the COVID-19 pandemic introduces a new highly demanded solutions such as distance monitoring in public or work spaces.

Our new HemiStereo® NX depth camera with integrated AI is ideally suited for realizing this task. Its ultra-wide field of view of 180 degrees eliminates the need of a multiple sensor system reducing acquisition and data fusion costs in the process. Additionally, HemiStereo® comes with a…

Alexander Groh

Software Engineer Machine Vision @3dvisionlabs

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