Our state-of-the-art optic flow estimator is more robust than the leading Deep Learning-based approach, amenable to verification, and ~5x-10x faster. Suitable for collision avoidance applications, speed and distance estimation, as well as underpinning our more advanced technology. Available now.
Building on Flow, our visual compass solution allows autonomous vehicles to track heading using only camera data, suitable for environments in which GPS and magnetic compass cannot be used, such as indoors. Coming soon.
Bees are excellent navigators; SLAM gives autonomous vehicles the same level of robust navigation without the traditional computational overhead. Coming soon.