ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles

The present disclosure provides systems and methods to detect occluded objects using shadow information to anticipate moving obstacles that are occluded behind a corner or other obstacle. The system may perform a dynamic threshold analysis on enhanced images allowing the detection of even weakly visible shadows. The system may classify an image sequence as either “dynamic” or “static”, enabling an autonomous vehicle, or other moving platform, to react and respond to a moving, yet occluded object by slowing down or stopping.

Researchers

Gregory Wornell / Alexander Amini / Igor Gilitschenski / Felix Naser / Sertac Karaman / Guy Rosman / Antonio Torralba / Daniela Rus / Fredo Durand (he/him/his) / William Freeman

Departments: Dept of Electrical Engineering & Computer Science, Computer Science & Artificial Intelligence Lab, Department of Aeronautics and Astronautics
Technology Areas: Communication Systems: Wireless / Sensing & Imaging: Imaging
Impact Areas: Connected World

  • systems and methods of detecting moving obstacles
    United States of America | Granted | 11,436,839

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