Autonomous Shuttles



Autonomous Shuttles

Autonomous shuttles are an increasingly popular transportation method, promising to reduce overcrowding and simplify travel. These self-driving shuttles are expected to debut shortly, with applications across numerous settings, such as college campuses, city centers, shopping plazas, and office travel.


The use of autonomous shuttles is a promising development, with potential benefits such as reduced traffic congestion, improved accessibility, and enhanced safety. By leveraging cutting-edge technologies, these shuttles offer a more convenient and efficient way of transportation, addressing some of the most pressing mobility challenges of our time.



Our proprietary software-based algorithms create a 3D perception stereo vision that upgrades and amplifies existing vision sensor systems’ performance without requiring new or additional hardware.


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 point cloud provides 3D raw data that can be used for accurate obstacle detection, in-depth terrain analysis and autonomous vehicle sensor fusion.

QuadSight 2.0™

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.