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
1. Computational Mirror Systems - Advancements in technology allow for algorithms to synthesize the appearance of objects around corners using shadow footage.
2. Object Detection Algorithm - Developments in object detection technologies could allow for self-driving cars to park more effectively and safely.
3. Shadow Imaging Technology - Emerging technology in using shadow footage to deduce the movements of objects has limitless applications in various fields.
Industry Implications
1. Automotive Industry - Integration of object detection and shadow imaging technology in self-driving cars can increase safety and efficiency in parking and navigation.
2. 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.
3. 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.