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The rise of autonomous applications is evident across various industries, including the robotics market. Unmanned aerial vehicles (UAVs) are increasingly popular in multiple applications, such as agriculture, industry, aerospace, mining, emergency services, and more.
To navigate dense areas with humans, machinery, and other obstacles, robots require accurate measurements of distance, height, and object locations, with minimal errors. Such precise navigation is crucial in numerous applications, where safety, efficiency, and productivity are paramount.
Autonomous robots are intelligent machines capable of performing tasks in the world by themselves, without explicit human control. One of the biggest advantages of an autonomous mobile robot (AMR) is its autonomy, meaning that it can scan an area for obstacles on its own. This also applies to environments that might change over time. To function properly, an AMR must navigate safely through known and unknown environments while carrying out its assigned task.
Mapping, localization, and navigation are classic problems for mobile robots. Foresight’s advanced stereoscopic technology provides an excellent solution to these challenges as robots become totally autonomous, adaptable to changing circumstances, and expand their range of application.
Our point cloud provides 3D raw data that can be used for accurate obstacle detection, in-depth terrain analysis and autonomous vehicle sensor fusion.
Our unique solution allows camera modules to be placed independently apart supporting large baselines without requiring any stringent mechanical constraints or manual calibration allowing higher accuracy at longer distances.
Our QuadSight multi-spectral vision solution allows for exceptionally accurate obstacle detection in harsh lighting and weather conditions.
Our Automatic Calibration technology uses a dedicated algorithm to assess relative pose estimation, providing an accurate stereoscopic 3D perception.
