Post-processing module system and method for motioned-based lane detection with multiple sensors

A method of lane detection for a non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising:

• generating, based on a lane detection algorithm, a hit-map image in response to a current view, the hit-map image including a classification of pixels that hit a lane marking;
• receiving a lane marking, associated with the current view;
• generating a lane template, using a set of parameters that express a lane marking in an arc, the lane template including features of the lane marking associated with the current view and features of the extended lane marking;
• feeding the lane template associated with the current view for detection of a next view;
• and
• generating a fitted lane marking based on the hit-map image and a lane template associated with an immediately previous view, wherein, based on priors or constraints, the lane template associated with the immediately previous view to obtain a local optimal.

A system for lane detection, the system comprising:

• an internet server, comprising:
• an I/O port, configured to transmit and receive electrical signals to and from a client device;
• a memory;
• one or more processing units;
• and
• one or more programs stored in the memory and configured for execution by the one or more processing units, the one or more programs including instructions for:
• generating, based on a lane detection algorithm, a hit-map image in response to the current view, the hit-map image including a classification of pixels that hit a lane marking;
• receiving a lane marking, associated with the current view;
• processing the lane marking in a post-processing module by at least one of fitting the lane marking in an arc by using a set of parameters and extending the lane marking by increasing the number of lane marking;
• generating a lane template, using the set of parameters, the lane template including features of the lane marking associated with the current view and features of at least one of the arc and the extended lane marking;
• feeding the lane template associated with the current view for detection of a next view;
• and
• generating a fitted lane marking based on the hit-map image and a lane template associated with an immediately previous view, wherein, based on priors or constraints, the lane template associated with the immediately previous view to obtain a local optimal.