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now we input one gps, output the most probably road network path, can we output the most n-best path? this is very useful, for we can get more information. and i think, it can realization at "Backtrack to find best path"
The text was updated successfully, but these errors were encountered:
Generally, the Viterbi algorithm of HMM can only find the "one" best hidden state sequence of observable states sequence. and we can doing k-Best or List Viterbi Decoding of a HMM, like https://github.com/carthach/kBestViterbi
Finding multiple paths (thus the decoding step) in the resulting lattice can be implemented using the methods described earlier.
What is extra in the List Viterbi Decoding, specifically the parallel LVA, is similar to using the max_lattice_width argument for the matcher (if you set it to L).
now we input one gps, output the most probably road network path, can we output the most n-best path? this is very useful, for we can get more information. and i think, it can realization at "Backtrack to find best path"
The text was updated successfully, but these errors were encountered: