Future works should be carried out addressing but
not limited to these shortcomings:
1. Data Collection: As pointed out previously, the
lack of standardized, open-sourced dataset still
limits research in the field. Data collection should
be carried out to support more robust solutions.
2. Models Building: The search for the most suit-
able optimization method is far from exhausted,
different solutions should be tested (e.g. artificial
immune system).
3. Models Integration: Support models can be
applied to boost effectiveness (e.g. population
creation schemes, dynamic bounds, occlusion
solver).
4. Error Analysis: Patterns in the error distribution
might arise when considering a bigger dataset,
which can be leverage (e.g. Error regression mod-
els).
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