With the advancement of sensor technology and the application of obstacle detection techniques and algorithms, autonomous driving is becoming a pivotal technology that can revolutionize the future of transportation and mobility. The need for the most efficient and accurate perception and detection solutions is rampant and this is where Foresight comes in.
Because we understand that sensors are fundamental to the perception of vehicle surroundings in an autonomous driving system. Our proprietary technology can directly determine the safety and feasibility of autonomous vehicles in a wide range of industries.
Our powerful and mature detection and tracking technology scans the road ahead to foresee possible collisions with vehicles, pedestrians, animals, and other obstacles. The technology can be customized to address the challenges of ADAS and autonomous vehicle markets, including object detection under diverse road, lighting and weather conditions.
This IP-protected 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 software solutions enable OEM’s the flexibility which is required for developing autonomous vehicle capabilities with the highest 3D perception and detection of the obstacles surrounding the vehicle.
Foresight positions itself as a strategic fit across a range of markets that will benefit from stereo vision solutions, including passenger vehicles, commercial vehicles, heavy machinery & agriculture, defense, robotics and shuttles.
Foresight offers innovative and comprehensive software solutions for a wide range of technological needs. Our diverse set of software solutions fits into multiple applications in different scenarios under diverse road, lighting and weather conditions. Our business model allows our clients and partners to combine these solutions into a complete system or select specific modules, as required.