Foresight: Remote Sensing for Autonomous Vehicles Using a Small Unmanned Aerial Vehicle

  title={Foresight: Remote Sensing for Autonomous Vehicles Using a Small Unmanned Aerial Vehicle},
  author={Alex Wallar and Brandon Araki and Raphael Chang and Javier Alonso-Mora and Daniela Rus},
A large number of traffic accidents, especially those involving vulnerable road users such as pedestrians and cyclists, are due to blind spots for the driver, for example when a vehicle takes a turn with poor visibility or when a pedestrian crosses from behind a parked vehicle. In these accidents, the consequences for the vulnerable road users are dramatic. Autonomous cars have the potential to drastically reduce traffic accidents thanks to high-performance sensing and reasoning. However, their… CONTINUE READING

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Supporting video material for Foresight. http://wallarelvo-tower.csail

A Wallar, B Araki, R Chang, J Alonso-Mora, D Rus

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