Researchers from the CSAIL lab at MIT created a way to use shadow footage to see around corners with computational mirrors. The system uses an algorithm that is able to synthesize what could be occurring away from a camera. The team of researchers ran an experiment where filming was being done on a pile of objects, away from the filming objects were being moved. The algorithm was then able to use the shadow footage to determine what was occurring off-screen.
MIT’s experiment has applications for self-driving cars attempting to park themselves. This is because a self-driving system would need to be able to determine what is on the other side of a corner. Previously MIT looked into seeing around corners, however, this system is better as it does not require a laser camera to operate.
Computational Mirror Systems
MIT Researchers Used Shadow Footage to Detect Objects Around Corners
Trend Themes
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Computational Mirror Systems — Advancements in technology allow for algorithms to synthesize the appearance of objects around corners using shadow footage.
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Object Detection Algorithm — Developments in object detection technologies could allow for self-driving cars to park more effectively and safely.
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Shadow Imaging Technology — Emerging technology in using shadow footage to deduce the movements of objects has limitless applications in various fields.
Industry Implications
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Automotive Industry — Integration of object detection and shadow imaging technology in self-driving cars can increase safety and efficiency in parking and navigation.
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Surveillance and Security Industry — The use of shadow imaging technology in the surveillance and security industry can optimize the monitoring of large areas, as well as improve the safety and accuracy of emergency response.
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Robotics Industry — Application of object detection and shadow imaging technology in robotics can improve the precision and accuracy of automated systems which require object recognition in complicated environments.