Menu
Autonomous shuttles represent an attractive transportation method that can reduce overcrowding and make it easier to get around. These autonomous shuttles that are expected to be introduced in the near future can be used in college campuses, city centers, around shopping plazas, and for office travel.
Autonomous shuttles have been in development in restricted areas for the past few years. The rise in maintenance and infrastructure levels of traditional buses is likely to prompt most people to prefer autonomous vehicles, as they are not likely to require maintenance and fuelling infrastructure. As a result, autonomous shuttles represent an attractive transportation method that will reduce congestion and make it easier to get around.
The benefits of these shuttles include improved traffic safety; improved mobility for those too young to drive, the elderly, and the handicapped; improved accessibility in underserved communities; improved productivity in transit and trucking. Foresight’s technology allows shuttles to operate in all weather conditions to provide a valuable service to the public, maintain high levels of passenger safety, and remain profitable.
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.
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.
