Visual 3D Positioning & Mapping System for Autonomous Vehicles and Robots
Direct visual SLAM is the state of the art in 3D computer vision. As compared to traditional feature-based SLAM, this Direct Sparse Odometry approach works reliably in featureless, repetitive and complex outdoor environments.
The technology offer presents a software that adopts direct visual SLAM. It can turn 2D images from off-the-shelf cameras into a precise understanding of the position and 3D environment, thereby enabling accurate, robust and safe navigation of autonomous robots or advanced spatial intelligence applications. Additionally, it does not require expensive systems, such as LiDARs, and is more independent and reliable than Global Navigation Satellite System (GNSS) or HD maps.
Besides cameras, the input from IMUs, GNSS, wheel odometry or LiDAR may be optionally fused for increased reliability or to address edge cases of particular applications.