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Foresight’s proprietary technology is based on 3D video analysis and advanced algorithms for image processing, achieving an unprecedented, accurate obstacle detection in harsh lighting and weather conditions including complete darkness, rain, haze, fog, and glare.
Our technology can be customized to address the challenges of ADAS and autonomous vehicle markets.
Foresight has developed a unique stack of software solutions based on stereo vision sensors. Our advanced vision for autonomous vehicles is achieved by combining stereo visible-light cameras with thermal long-wave infrared sensors that provide depth perception and obtain a clear 3D view.
Foresight has developed a unique stack of software solutions based on stereo vision sensors. Our advanced vision for autonomous vehicles is achieved by fusing stereo visible-light cameras with thermal long-wave infrared sensors that provide depth perception and obtain a clear 3D view.
Stereoscopic vision technology uses two synchronized cameras to generate a depth map. Depth map allows to detect any object and to get its accurate size, location and distance.
Monocular vision object detection technology relies on deep neural networks (DNN) object recognition. Using DNN for object recognition will always encounter corner cases where there is an unknown object to the trained network.
Our stereoscopic technology provides a hybrid detection solution of both classified and non classified objects.
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Thermal long-wave infrared (LWIR) cameras rely on heat emission of different objects, as opposed to other existing sensors that rely on reflective light. LWIR enables detection in harsh lighting and weather conditions. In addition, due to its thermal signature capabilities, the use of LWIR allows a native detection of pedestrians and animals.
Our technology generates an accurate depth map which is converted to a high-resolution 3D point cloud that provides rich and accurate per pixel information. Point cloud provides 3D raw data that can be used for obstacle detection, terrain analysis and autonomous vehicle sensor fusion. The use of stereoscopic technology offers a non-emitting and cost-effective solution for generating a high resolution point cloud.
The main issue in stereo vision is to achieve a precise depth map. Foresight has come up with a unique solution using a dedicated algorithm to successfully assess relative pose estimation, known as automatic calibration. Automatic calibration is fundamental for creating an accurate stereoscopic 3D perception.
Foresight’s various technologies unlock enhanced safety capabilities across the automotive industry. Learn how our solutions serve a range of markets, providing unique alternatives in autonomous driving.
