2 research outputs found
Drone navigation and license place detection for vehicle location in indoor spaces
Millions of vehicles are transported every year, tightly parked in vessels or
boats. To reduce the risks of associated safety issues like fires, knowing the
location of vehicles is essential, since different vehicles may need different
mitigation measures, e.g. electric cars. This work is aimed at creating a
solution based on a nano-drone that navigates across rows of parked vehicles
and detects their license plates. We do so via a wall-following algorithm, and
a CNN trained to detect license plates. All computations are done in real-time
on the drone, which just sends position and detected images that allow the
creation of a 2D map with the position of the plates. Our solution is capable
of reading all plates across eight test cases (with several rows of plates,
different drone speeds, or low light) by aggregation of measurements across
several drone journeys.Comment: Published at VIII International Workshop on Artificial Intelligence
and Pattern Recognition, IWAIPR 202