System and methods for automatically detecting double parking violations

A device for automatically detecting a double parking violation, comprising:

• one or more video image sensors configured to capture a video of a vehicle and a roadway including a road edge of the roadway;
• and
• one or more processors programmed to:
• determine a location of the road edge of the roadway from one or more video frames of the video captured by the one or more video image sensors;
• determine a layout of one or more lanes of the roadway based on the road edge determined by the device, wherein at least one of the one or more lanes is a no-parking lane;
• bound the no-parking lane using a lane bounding polygon;
• bound a vehicle detected from the one or more video frames using a vehicle bounding polygon;
• detect a potential double parking violation based in part on an overlap of at least part of the vehicle bounding polygon with at least part of the lane bounding polygon;
• determine whether the vehicle is moving or static when captured by the video;
• and
• detect the potential double parking violation only in response to the vehicle being determined to be static when captured by the video,
• wherein to determine whether the vehicle is moving or static the one or more processors are further programmed to:
• determine GPS coordinates of vehicle bounding polygons across multiple event video frames;
• transform the GPS coordinates into a local Cartesian coordinate system such that the GPS coordinates are transformed coordinates, wherein a longitudinal axis of the local Cartesian coordinate system is in a direction of travel of a carrier vehicle carrying the device and a latitudinal axis of the local Cartesian coordinate system is in a lateral direction;
• and
• determine whether the vehicle is static or moving based on a standard deviation of the transformed coordinates in both a longitudinal direction and a latitudinal direction and a cross correlation of the transformed coordinates along the longitudinal direction and the latitudinal direction.

One or more non-transitory computer-readable media comprising instructions stored thereon, that when executed by one or more processors, cause the one or more processors to perform operations comprising:

• determining a location of a road edge of a roadway from one or more video frames of a video captured by one or more video image sensors of an edge device;
• determining a layout of one or more lanes of the roadway based on the road edge, wherein at least one of the one or more lanes is a no-parking lane;
• bounding the no-parking lane using a lane bounding polygon;
• bounding a vehicle detected from the one or more video frames using a vehicle bounding polygon;
• detecting a potential double parking violation based in part on an overlap of at least part of the vehicle bounding polygon with at least part of the lane bounding polygon;
• determining whether the vehicle is moving or static when captured by the video;
• and
• detecting the potential double parking violation only in response to the vehicle being determined to be static when captured by the video,
• wherein to determine whether the vehicle is moving or static comprises:
• determining GPS coordinates of vehicle bounding polygons across multiple event video frames;
• transforming the GPS coordinates into a local Cartesian coordinate system such that the GPS coordinates are transformed coordinates, wherein a longitudinal axis of the local Cartesian coordinate system is in a direction of travel of a carrier vehicle carrying the edge device and a latitudinal axis of the local Cartesian coordinate system is in a lateral direction;
• and
• determining whether the vehicle is static or moving based on a standard deviation of the transformed coordinates in both a longitudinal direction and a latitudinal direction and a cross correlation of the transformed coordinates along the longitudinal direction and the latitudinal direction.