Self-Driving Passenger Vehicles


Passenger Vehicles

Self-Driving Passenger Vehicles

The adoption of self-driving technology depends on user experience, particularly in passenger vehicles. Safety is the primary concern, requiring a combination of sensor hardware, such as cameras, and software to identify potential safety risks and alert the driver to take action to avoid a collision.


Self-driving cars offer numerous benefits, such as reduced traffic congestion, increased accessibility, and improved safety. However, concerns about safety and user experience have slowed their adoption. To overcome these challenges, manufacturers are investing in advanced technologies that enhance the safety and reliability of self-driving cars, ensuring a better user experience and driving greater adoption.



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.