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Driverless autonomous commercial vehicles are now appearing on highways globally, prompting the industry to search for technological advancements that can provide reliable long-range detection in challenging weather and lighting conditions. Such solutions are essential for ensuring both safety and profitability in the industry.
Autonomous platforms are rapidly gaining favor in the commercial vehicle sector, offering significant benefits to fleets. With a significant shortage of drivers in the industry, self-driving vehicles can reduce the number of drivers needed, which historically represents the industry’s highest-cost line item.
Foresight’s cutting-edge technology facilitates accurate and efficient long-range detection of obstacles, including people, animals, and other machinery, at all times. Furthermore, rigid regulations restrict drivers’ hours on the road or operating heavy-duty vehicles, resulting in decreased capacity. Autonomous vehicles, on the other hand, can operate continuously, potentially reducing downtime and cutting costs for construction projects while increasing capacity.
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.
